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79 Remote Machine Learning Jobs at companies like Vorstella, Elastic and Synergy Sports Technology last posted 5 days ago. The median salary for Machine Learning jobs while working remotely is $110,000 as of October 2018.

79 Remote Machine Learning Jobs at companies like Vorstella, Elastic and Synergy Sports Technology last posted 5 days ago. The median salary for Machine Learning jobs while working remotely is $110,000 as of October 2018.

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This week


Vorstella

Machine Learning Data Pipeline Engineer


Vorstella


machine learning

engineer

machine learning

engineer

5d

Apply

{linebreak}About Us{linebreak}Vorstella is an AI platform that automatically manages large scale distributed systems like Cassandra, Hadoop, Spark and Kafka for large companies. Founded by ex-DataStax engineers, weve designed some of the largest distributed system deployments in the world and we wanted to make this technology accessible to everyone. You shouldnt need 3 years of experience to feel comfortable running a new system at scale. We take the guesswork out of using new technology and let you focus on building your applications.{linebreak}Who we're looking forWere looking for someone that is probably 60% engineer, 40% machine learning. A little more street fighter, a little less ivory tower. Someone that can write production quality code, solve engineering problems, and knows enough ML to find good-enough solutions. Someone thats creative and can solve problems without always reaching for the ML hammer. Sometimes we use rules, sometime we use ML, sometimes we need to ask the user better questions.{linebreak}What youll be working on{linebreak}Youll be working on the machine learning pipeline and models. Weve got multiple signals both synthesized and raw being fed into root-cause analysis, database tuning algorithms and cost optimization. These models feed data to the UI/API which presents next best action to the end user. Were always looking for a solution that gets us to good outcomes as quickly as possible. Sometimes its basic, sometimes were pushing beyond the boundaries of whats published.{linebreak}Our stack{linebreak}Our deployment target is Docker and Kubernetes. On the frontend we use React/Redux. Back-end services are written in Go, with the machine learning code written in Python. Our continuous integration system is CircleCI, and we use GitHub for all our code. Were multi-cloud with deployments currently in Google and AWS.{linebreak}{linebreak}Benefits{linebreak}{linebreak} * Writing code that manages some of the largest distributed systems in the world. We work with customers that have hundreds of thousands of servers.{linebreak} * Youll be a senior member of the team, youll have strong input over large swathes of infrastructure as well as product ownership for core products and features.{linebreak} * Writing code and working with a team thats pushing the cutting edge of whats possible. Youll be working with some of the worlds experts in optimization and distributed systems.{linebreak} * The ability to publish and contribute to multiple popular open source projects.{linebreak} {linebreak}

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This month


Elastic

Machine Learning Information Engineer


Elastic


machine learning

engineer

machine learning

engineer

18d

Apply

{linebreak}Information Engineer{linebreak}{linebreak}At Elastic, we have a simple goal: to solve the world's data problems with products that delight and inspire. As the company behind the popular open source projects — Elasticsearch, Kibana, Logstash, and Beats — we help people around the world do great things with their data. From stock quotes to real time Twitter streams, Apache logs to WordPress blogs, our products are extending what's possible with data, delivering on the promise that good things come from connecting the dots. The Elastic family unites employees across 30+ countries into one coherent team, while the broader community spans across over 100 countries.{linebreak}{linebreak}Machine Learning at Elastic {linebreak}{linebreak}Machine Learning (ML) for the Elastic Stack allows users to better understand the behavior of their data. We have developed an unsupervised machine learning engine that can plow through large amounts of data and automatically find those insights our users today have been proactively finding using search. Current use cases include finding anomalies within transactions / operational metrics, detecting uncharacteristic user behavior or finding malicious devices.{linebreak}{linebreak}To help us further expand our capabilities we are looking fo an exceptional individual who can support us in our insatiable appetite for data. This is an amazing opportunity to join a small, highly experienced team where you can make an immediate impact and contribution to the development of our new machine learning offerings.{linebreak}{linebreak}What you will be doing{linebreak}{linebreak}To support data driven development of engineering features by becoming a super-user of our ML tool set, by making meaningful data accessible to engineers and in helping to maintain and improve the quality of results. Responsibilities will include:{linebreak}{linebreak}{linebreak}* Curate and extend data library - develop, acquire and catalog datasets representative of core customer use cases{linebreak}{linebreak}* Perform data analysis on complex datasets and clearly describe and communicate findings to peers{linebreak}{linebreak}* Develop ML job configs for known uses cases{linebreak}{linebreak}* Develop standardized labeling techniques for datasets in our catalog. For example, known outliers or anomalies (unsupervised), or output labels (supervised).{linebreak}{linebreak}* Build statistical robustness tests for machine learning models against an ever growing data catalog{linebreak}{linebreak}* Follow GDPR policies, security and data license requirements where applicable{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Your background{linebreak}{linebreak}{linebreak}* Highly numerate with education background in Mathematics, Computer Science, Information/Library science, Physics, Engineering or similar{linebreak}{linebreak}* Solid industry experience working with data; for example as a data analyst, software-, QA engineer or similar{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}What you will bring{linebreak}{linebreak}{linebreak}* A proven ability to work with large amounts of data (at least 2 years){linebreak}{linebreak}* Able to work as part of a distributed team, having strong collaboration and communication skills{linebreak}{linebreak}* Detail oriented with a librarian-like approach to organization{linebreak}{linebreak}* Able to analyse real-world datasets and extract insights according to customer use case{linebreak}{linebreak}* Knowledge, interest and a real passion for topics in big data, machine learning, data mining and statistical analysis{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Experience required in some or all of these areas{linebreak}{linebreak}{linebreak}* Software engineering (Python, Java, C++){linebreak}{linebreak}* Statistical packages and tools (e.g. R, SAS, Octave, MATLAB etc){linebreak}{linebreak}* Visualization technologies{linebreak}{linebreak}* NoSQL or relational databases{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Additional Information: {linebreak}{linebreak}We're looking to hire team members invested in realizing the goal of making real-time data exploration easy and available to anyone. As a distributed company, we believe that diversity drives our vibe! Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life.{linebreak}{linebreak}{linebreak}* Competitive pay based on the work you do here and not your previous salary{linebreak}{linebreak}* Stock options{linebreak}{linebreak}* Global minimum of 16 weeks of paid in full parental leave (moms & dads){linebreak}{linebreak}* Generous vacation time and one week of volunteer time off{linebreak}{linebreak}* Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}#LI-MD1{linebreak}{linebreak}Elastic is an Equal Employment employer committed to the principles of equal employment opportunity and affirmative action for all applicants and employees. Applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status or any other basis protected by federal, state or local law, ordinance or regulation. Elastic also makes reasonable accommodations for disabled employees consistent with applicable law.

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Last 30 days


Synergy Sports Technology

Senior Backend Data Platform Engineer


Synergy Sports Technology


c#

c sharp

mongodb

nosql

c#

c sharp

mongodb

nosql

1mo

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Synergy Sports Technology, named by Fast Company as one of the world's top 10 most innovative companies in sports, seeks a talented Software Engineer to join our team on a contracting basis.{linebreak}{linebreak}This position offers a tremendous opportunity to work with the only company that delivers on-demand professional-level basketball, baseball, and hockey analytics linked to supporting video to nearly 1500 college, professional, and international teams. Our systems are highly complex and contains petabytes of data and video requiring extremely talented engineers to maintain scale and efficiency of its products.{linebreak}{linebreak}As a member of the Synergy team, its engineering team will contribute to the ongoing development of Synergy’s revolutionary online sports data and video delivery solutions. Building applications such as:{linebreak}* Client Analytic Tools{linebreak}* Video Editing and Capture Tools{linebreak}* Data Logging Tools{linebreak}* Operational Game, Data and Video Pipeline Tools{linebreak}* Backend Data and Video Platforms{linebreak}{linebreak}Synergy’s work environment is geographically distributed, with employees working from home offices. The successful candidate must be comfortable working in a virtual office using online collaboration tools for all communication and interaction in conversational English. Synergy development staff work in a deadline-oriented, demanding, non-standard environment in which personal initiative and a strong work ethic are rewarded. Good communication skills, self-motivation, and the ability to work effectively with minimal supervision are crucial. Nonstandard working hours may be required, as Synergy operates on a 24x7 system for clients, with associated deadlines and requirements. Pay rate is dependent on experience.{linebreak}{linebreak}**Information for all Positions:**{linebreak}* All Positions will last for roughly a year with some engineers lasting even longer if they are talented, we will keep them for future projects.{linebreak}* Engineers should be available for phone calls M-F from 7am to 10am Pacific Time zone. There will usually be 1 or 2 phone calls each week that are 30 to 90 minutes each.{linebreak}* All other work hours availability is up to the engineer to work when it is a best fit and balance for them to communicate with their team and their personal commitments outside of work.{linebreak}* Working an average of 40 hours per week is expected except in rare or temporary circumstances. Each week can be flexible and up to the engineer as to when and how much they work per day. It is ok to work heavier and lighter weeks if desired based upon the engineer’s preference of when and how to work. But a preference is to average 40 hours per week.{linebreak}* No travel is required{linebreak}{linebreak}**Team Objectives:**{linebreak}* A candidate joining the Data Platform team can expect to work on the following types of projects:{linebreak}* Creating internal and external APIs to support both data and video{linebreak}* Building complex data models supporting the business rules of sports{linebreak}* Developing algorithms that ingesting and transforming multiple streams of data and collapsing the data into a single event structure{linebreak}* Refactoring code to a .NET Core environment{linebreak}* Scaling out current systems to support new sports{linebreak}* Building build and test automation systems{linebreak}* Building complex reporting data structures for analytical systems{linebreak}{linebreak}**Required Skillsets:**{linebreak}* SQL or NoSQL database (MongoDB Preferred){linebreak}* C# (Latest version with a preference to .NET Core)

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# How do you apply? Please send your updated CV and Skype information to Mihaela Radu at m.radu@synergysportstech.com
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This year

Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.{linebreak}{linebreak}We value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare. Our engineering team is deliberate and self-reflective about the kind of team and culture that we are building, seeking engineers that are not only strong in their own aptitudes but care deeply about supporting each other's growth.{linebreak}{linebreak}Our team brings a diverse set of technical and cultural backgrounds and we like to think pragmatically in choosing the tools most appropriate for the job at hand. We deploy our applications to production on average 50 times per day and have over 350 private repositories in Github, ranging from forks of gems, our own internal gems as well as auxiliary applications. Check out more on the Doximity engineering blog. {linebreak}{linebreak}**How you’ll make an impact:**{linebreak}{linebreak}* Employ appropriate methods to develop performant machine learning models at scale, owning them from inception to business impact.{linebreak}* Plan, engineer, and deploy both batch-processed and real-time data science solutions to increase user engagement with Doximity’s products.{linebreak}* Collaborate cross-functionally with data engineers and software engineers to architect and implement infrastructure in support of Doximity’s data science platform.{linebreak}* Improve the accuracy, runtime, scalability and reliability of machine intelligence systems{linebreak}* Think creatively and outside of the box. The ability to formulate, implement, and test your ideas quickly is crucial.{linebreak}{linebreak}**What we’re looking for:**{linebreak}{linebreak}* 5+ years of industry experience; M.S. in Computer Science or other relevant technical field preferred.{linebreak}* 3+ years experience collaborating with data science and data engineering teams to build and productionize machine learning pipelines.{linebreak}* Fluent in SQL and Python; experience using Spark (pyspark) and working with both relational and non-relational databases.{linebreak}* Demonstrated industry success in building and deploying machine learning pipelines, as well as feature engineering from semi-structured data.{linebreak}* Solid understanding of the foundational concepts of machine learning and artificial intelligence.{linebreak}* A desire to grow as an engineer through collaboration with a diverse team, code reviews, and learning new languages/technologies.{linebreak}* 3+ years of experience using version control, especially Git.{linebreak}* Familiarity with Linux and AWS.{linebreak}* Deep learning experience preferred.{linebreak}* Work experience with REST APIs, deploying microservices, and Docker is a plus.{linebreak}{linebreak}**About Doximity**{linebreak}{linebreak}We’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us!{linebreak}{linebreak}*Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.* {linebreak}{linebreak}# Requirements{linebreak}Use apply button

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Findify

Scala Machine Learning Engineer


Findify


scala

machine learning

engineer

scala

machine learning

engineer

3mo

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{linebreak}We are looking for Scala ML engineers to help us build and maintain our machine learning platform. At Findify, we make extensive use of data-collection, processing and machine learning algorithms to help our merchants provide better search and recommendations to their customers. You would be responsible for building and improving our machine learning algorithms to help us achieve this goal.{linebreak}{linebreak}Our tech stack:{linebreak}{linebreak}We always strive to use the most suitable tool for the job, so our stack is constantly evolving. Currently, our backend is written mostly in Scala and Node.js. We use Scala for data processing and to power our machine learning algorithms. Node is used as a web framework to facilitate the interaction with our customers via various APIs. We make extensive use of AWS, and use any component we find suitable within our architecture, so we can focus on building our proprietary tech.{linebreak}{linebreak}We’re not afraid to challenge our choices, we love open source and above all, we’re a product driven company so technology is at the core of everything we do. You can check out our full stack on StackShare.{linebreak}{linebreak}Our development culture:{linebreak}{linebreak}We are a small team that moves fast and iterates. We run weekly sprints, code reviews, testing, and once your code is submitted it gets pushed to production through our continuous deployment infrastructure (Jenkins). We put a lot of emphasis on code style, cleanliness and robustness. You will get to work with amazing engineers specializing in machine learning and distributed systems.{linebreak}{linebreak}What you can expect from us:{linebreak}{linebreak}You’ll have the opportunity to make a real impact on the product, company vision and culture. You will get to work with the latest technologies out there, without being bound to any legacy. We will never limit your creativity, never shut down ideas before testing them with customers and we will never be boring! it's going to be an exciting ride!{linebreak}{linebreak}If this sounds like a company you’d love be a part of building, and you’ve got the skill set, please get in touch with us!{linebreak}{linebreak}We’d love to hear from you!{linebreak}{linebreak}Skills and requirements{linebreak}{linebreak}What we're looking for:{linebreak}{linebreak}The most important thing we are looking for in a candidate is proven passion for programming and problem solving: a Github/Stackoverflow account, an interesting project you can share, or a blog you write will go a long way.{linebreak}{linebreak}We are a distributed team, so you can work from anywhere you want, as long as it's 2 hours +/- from CET. (The timezone is an important requirement for us at this stage). Located in Dublin? A huge plus.{linebreak}{linebreak}It’s really important to us that you have the ability to adapt to the company’s work processes using the agile-scrum methodology, and using tools such as Jira and Slack. Not only because of our remote working culture, but even more so because of this, you need to be really awesome at communicating, and to be organized and self-driven.{linebreak}{linebreak}Oh, and you need to want to have fun :){linebreak}{linebreak}Your responsibilities:{linebreak}{linebreak}{linebreak}* Improve the search relevancy and recommendation quality for our 1500 merchants, while keeping an eye on recent academic research in this field.{linebreak}{linebreak}* Implement new ML algorithms and improving old ones to make the Findify search and recommendations quality better.{linebreak}{linebreak}* Setup the data processing pipelines to feed these ML algorithms{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}The basics:{linebreak}{linebreak}{linebreak}* Experience building complete ML solutions: source data collection, feature engineering and model training.{linebreak}{linebreak}* 2+ years of professional experience with Scala. The candidate should be able to work on the full development cycle of an application, from designing a system, to validate by the code the possible assumptions and maintain/improve an existing system.{linebreak}{linebreak}* 5+ years of general developer experience. Experience in design and development of backend systems without major external supervision. We are looking for a candidate that can be autonomous and own their projects.{linebreak}{linebreak}* Computer Science education. We use a lot of cool algorithms in the Findify backend code, we really care about O(N*logN).{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Beyond the basics:{linebreak}{linebreak}{linebreak}* NoSQL: experience with Cassandra/Kafka{linebreak}{linebreak}* DevOps: experience with AWS, Kubernetes, Docker{linebreak}{linebreak}* Scala: akka, akka-stream, akka-http, cats{linebreak}{linebreak}{linebreak}

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Seez

Kickass Python Machine Learning Engineer


Seez


python

machine learning

engineer

python

machine learning

engineer

4mo

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{linebreak}Be a part of a growing startup and join us in changing how people buy cars{linebreak}{linebreak}Seez is looking for a kickass ML engineer with in-depth knowledge in building machine learning end-to-end projects; researching the problem, feature selection, model building, correctly evaluating the model to building a scalable service and deploying it. Our current ML stack is mostly based around the python data stack so we preferbly want someone with experience in this domain. {linebreak}{linebreak}You will be a part of a distributed team in the middle east and europe, with possibility to work anywhere in the world, though we would love to have you at one of our offices. Your role will be to help make a great product that many people will use and love. You will have freedom, you will be challenged, you will not be shut down due to bureacracy, your voice will be heard. We are not looking for a freelancer. If you are further than +/-  3 timezones from UTC+1, please don't apply, as it makes communication and synchronizing work hours too complicated. We value communication very highly and you will be expected to participate and join discussions in product development as well as company direction, lastly, you are not a code monkey. We have a very free and openminded culture and are preferably looking for someone with the same mentality.{linebreak}{linebreak}We use slack extensively and employ very little hierarchy, you are free to speak your mind, come up with ideas and be a part of our community. Even though Seez is a startup and in the real world, funds are limited, we value our employees highly and acknowledge that a great developer should be paid a competitive salary.{linebreak}{linebreak}Our ideal candiate has the following characteristics{linebreak}{linebreak}{linebreak}* An analytical mind with product-first mentality{linebreak}{linebreak}* A minimum of 3 years of experience as a machine learning engineer, building machine learning products.{linebreak}{linebreak}* Extensive machine learning knowledge (regression, classification and recommenders mostly){linebreak}{linebreak}* Your education is less important than your ability to challenge yourself and write code (We’d rather see a beautiful GitHub profile than a fancy degree).{linebreak}{linebreak}* You care greatly about code quality.{linebreak}{linebreak}* You take pride in what you do, but welcome critique{linebreak}{linebreak}* Prior experience in working with Scrum and, or Agile methodologies.{linebreak}{linebreak}* Good communication skills and willingness to work in a team.{linebreak}{linebreak}* Complete proficiency in reading, writing and speaking english{linebreak}{linebreak}* A lot of good ideas and constantly following the latest trends in your field{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Technology and tools in order of importance:{linebreak}{linebreak}* Python data stack (numpy, sklearn, pandas, jupyter notebooks,  scipy and matplotlib){linebreak}{linebreak}* DBMS knowledge - writing SQL and designing schemas{linebreak}{linebreak}* Docker (we use it extensively){linebreak}{linebreak}* Other general backend related tasks (API, crawling and devops){linebreak}{linebreak}{linebreak}{linebreak}We value growing our team and there will be plenty of oppurtunities for you to jump into our other projects and get familar with our other projects.

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Bothouse

Machine Learning AI Lead


Bothouse


exec

machine learning

exec

machine learning

4mo

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Full Time: Machine Learning/AI Lead at Bothouse in Remotely

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Jaumo

Machine Learning Engineer F M


Jaumo


machine learning

engineer

machine learning

engineer

4mo

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{linebreak}We're looking for a new employee in our lean team (15 people including 7 backend/mobile engineers and 2 machine learning engineers), and give you the opportunity to be part of a very exciting journey.{linebreak}{linebreak}You are a Machine Learning Engineer (f/m) with strong experience, and you will be an essential part of our bootstrapped and 100% remote company. The position is full-time. This is an excellent career opportunity to join a fast-growing company in a key position.{linebreak}{linebreak}{linebreak}{linebreak}You will:{linebreak}{linebreak}{linebreak}* provide our award-winning apps - used by millions of active users every day - with an intelligent and personalized experience for finding a partner{linebreak}{linebreak}* solve challenging problems like fraud prevention (online dating scam/fakes, ad fraud), automated moderation, image recognition, optimizing matching algorithms and our recommendation system. {linebreak}{linebreak}* take ownership of your codebase{linebreak}{linebreak}* be accountable for all aspects of your work, from research and analysis to testing and deployment{linebreak}{linebreak}* work agile with a motivated and innovative small team (including us, the two founders){linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Skills & Requirements{linebreak}{linebreak}An ideal candidate is autonomous, proactive, and has experience working in a variety of different platforms and technologies. We admire engineers who take the initiative, make their own decisions and implement them precisely. {linebreak}{linebreak}{linebreak}{linebreak}Your qualifications:{linebreak}{linebreak}{linebreak}* at least 3 years of experience in software development, ideally in a high-performance web or mobile environment{linebreak}{linebreak}* solid experience in at least one of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence{linebreak}{linebreak}* experience with one or more general purpose programming languages like Python or Java{linebreak}{linebreak}* you love getting things done you never give up, when it’s getting difficult. It’s a challenge to master every situation.{linebreak}{linebreak}* you speak and write business-fluent English{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}If this profile matches your expertise, experience, and aspirations, we’d be delighted to receive your full application, including references, salary requirements, and possible starting date.

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Selerity

Senior Machine Learning Engineer


Selerity


machine learning

senior

engineer

machine learning

senior

engineer

5mo

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{linebreak}Senior Machine Learning Engineer{linebreak}{linebreak}Summary:{linebreak}{linebreak}Senior Machine Learning Engineer to join Selerity’s team, scaling up an A.I. driven analytics and recommendation platform and integrating it into enterprise workflows.  Highly competitive compensation plus significant opportunities for professional growth and career advancement.{linebreak}{linebreak}Employment Type: Contract or Full-time{linebreak}{linebreak}Location is flexible: We have offices in New York City and Oak Park, Illinois (Chicago suburb) but about half of our team currently works remotely from various parts of Europe, North America, and Asia.  {linebreak}{linebreak}{linebreak}Job Description:{linebreak}{linebreak}Want to change how the world engages with chat, research, social media, news, and data?{linebreak}{linebreak}Selerity has dominated ultra-low-latency data science in finance for almost a decade.  Now our real-time content analytics and contextual recommendation platform is gaining broader traction in enterprise and media applications.  We're tackling big challenges in predictive analytics, conversational interfaces, and workflow automation and need your help!{linebreak}{linebreak}We’re looking for an experienced Machine Learning Engineer to join a major initiative at a critical point in our company’s growth.  This is a hands-on role, applying the latest technology in natural language processing and machine learning (including deep learning) to real-world problems in capital markets, institutional research, financial news, and social media.  Machines are playing an ever-increasing role in finance and we're leading that trend.{linebreak}{linebreak}{linebreak}Must-haves:{linebreak}{linebreak}* Possess a rock-solid background in Computer Science (minimum BS in Comp Sci or related field) + at least 5 years (ideally 10+) of challenging work experience.{linebreak}{linebreak}* Rigorous understanding of data science foundations and theory including algorithms, statistics, experimental setup, etc.{linebreak}{linebreak}* Experience applying NLP and/or machine learning to large-scale datasets, especially text.{linebreak}{linebreak}* Experience with large-scale analytics and machine learning technologies including TensorFlow/Sonnet, Torch, Caffe, Spark, Hadoop, cuDNN, etc.{linebreak}{linebreak}* Advanced proficiency working in Java in Linux environments.{linebreak}{linebreak}* Significant operational experience with deploying, monitoring, and maintaining large-scale A.I. applications in production environments.  Not just research and prototypes.{linebreak}{linebreak}* Solid track record of making effective design decisions balancing near-term and long-term objectives.{linebreak}{linebreak}* Know when to use commercial or open-source solutions, when to delegate to a teammate, and when to roll up your sleeves and code it yourself.{linebreak}{linebreak}* Work effectively in agile teams with remote members; get stuff done with minimal guidance and zero BS, help others, and know when to ask for help.{linebreak}{linebreak}* Clearly communicate complex technical and product issues to non-technical team members, managers, clients, etc.  {linebreak}{linebreak}{linebreak}Nice-to-haves:{linebreak}{linebreak}* Advanced degree (MS/PhD) in a quantitative field such as Computer Science or Statistics.{linebreak}{linebreak}* Proficiency in C++, Python, Scala, or other commonly-used languages.{linebreak}{linebreak}* Experience with analytics visualization libraries.{linebreak}{linebreak}* Conversant with relational, column, object, and graph database fundamentals and strong practical experience in any of those paradigms.{linebreak}{linebreak}* Deep understanding of how to build software agents and conversational workflows.{linebreak}{linebreak}* Knowledge of capital markets concepts, entities, and processes.{linebreak}{linebreak}{linebreak}Our stack:{linebreak}{linebreak}* Java, C++, Python, JavaScript/ECMAscript + Node, Angular, Electron, Scala, etc.{linebreak}{linebreak}* A variety of open source and in-house frameworks for natural language processing and machine learning including artificial neural networks / deep learning.{linebreak}{linebreak}* Hybrid of AWS (EC2, S3, RDS, R53) + dedicated datacenter network, server and GPU/coprocessor infrastructure.{linebreak}{linebreak}* Cassandra, Aurora plus in-house streaming analytics pipeline (similar to Apache Flink) and indexing/query engine (similar to ElasticSearch).{linebreak}{linebreak}* In-house messaging frameworks for low-latency (sub-microsecond sensitivity) multicast and global-scale TCP (similarities to protobufs/FixFast/zeromq/itch).{linebreak}{linebreak}* Ansible, Git, Subversion, PagerDuty, Icinga, Grafana, Observium, LDAP, Jenkins, Maven, Purify, VisualVM, Wireshark, Eclipse, IntelliJ.{linebreak}{linebreak}This position offers a great opportunity to work with advanced technologies, collaborate with a top-notch, global team, and disrupt a highly visible, multi-billion-dollar market.  {linebreak}{linebreak}{linebreak}{linebreak}Compensation:{linebreak}{linebreak}We understand how to attract and retain the best talent and offer a competitive mix of salary, benefits and equity.  We also understand how important it is for you to feel challenged, to have opportunities to learn new things, to have the flexibility to balance your work and personal life, and to know that your work has impact in the real world.{linebreak}{linebreak}We have team members on four continents and we're adept at making remote workers feel like part of the team.  If you join our NYC main office be sure to bring your Nerf toys, your drones and your maker gear - we’re into that stuff, too.{linebreak}{linebreak}{linebreak}{linebreak}Interview Process:{linebreak}{linebreak}If you can see yourself at Selerity, send your resume and/or online profile (e.g. LinkedIn) to careers@selerityinc.com.  We’ll arrange a short introductory phone call and if it sounds like there’s a match we'll arrange for you to meet the team for a full interview.  {linebreak}{linebreak}The interview process lasts several hours and is sometimes split across two days on site, or about two weeks with remote interviews.  It is intended to be challenging - but the developers you meet and the topics you’ll be asked to explain (and code!) should give you a clear sense of what it would be like to work at Selerity.  {linebreak}{linebreak}We value different perspectives and have built a team that reflects that diversity while maintaining the highest standards of excellence.  You can rest assured that we welcome talented engineers regardless of their age, gender, sexual orientation, religion, ethnicity or national origin.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Recruiters: Please note that we are not currently accepting referrals from recruiters for this position.

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Comparex USA

Senior Machine Learning Engineer


Comparex USA


machine learning

senior

engineer

machine learning

senior

engineer

5mo

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{linebreak}Do you yearn to make a significant impact?  Do you enjoy working in fast paced HIPO teams with challenging goals?  Are you ready for an experience that will put all of your technical and personal skills to the test?{linebreak}{linebreak}{linebreak}If this environment appeals to you, we invite you to apply for a new special operations unit reporting directly to the CEO of one of the world's leading global technology solutions provider. {linebreak}{linebreak}{linebreak}Today we serve our 25K+ clients in 35 countries; providing world-class technical expertise and a commitment to customer service excellence.{linebreak}{linebreak}{linebreak}This unit will be tasked with creating innovative solutions leveraging the rapidly evolving power of Machine Learning and Artificial Intelligence to provide new insights and value to our customers.  {linebreak}{linebreak}{linebreak}About the Job{linebreak}{linebreak}{linebreak}As a Senior Machine Learning Engineer, you drive the vision to build and scale our machine learning and experimentation platforms. This is your opportunity to make a big impact - ranging from delivering a personalized customer experience to optimizing advertising spend to improving merchandising efficiencies.{linebreak}{linebreak}{linebreak}You work on cross-functional initiatives, such as service and container platforms, machine learning platforms, data security, distributed memory services, service monitoring, real-time experimentation, data transformations, and much more.{linebreak}{linebreak}{linebreak}Your services scale to support high volumes of traffic at low latency and high availability. This is a high profile position that will have exposure across the entire business.{linebreak}{linebreak}{linebreak}The successful candidate owns the roadmap, features, and design of one or more core services. Responsibilities:{linebreak}{linebreak}{linebreak}{linebreak}* Design and build scalable machine learning services and data platforms{linebreak}{linebreak}* Feature engineering to improve model performance on key business metrics{linebreak}{linebreak}* Owner of key service and business metrics{linebreak}{linebreak}* Work with multiple teams to understand their goals, challenges, and roadmaps to inform your product roadmap{linebreak}{linebreak}* Design in a mindset of reducing technical debt and encourages others on the team to do so{linebreak}{linebreak}* Regularly and measurably improve and is a champion of team process and best practices{linebreak}{linebreak}* Mentor others in development technologies, tools, and processes{linebreak}{linebreak}* Work with minimal supervision under tight time constraints and respond to rapidly evolving requirements{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}QUALIFICATIONS{linebreak}{linebreak}{linebreak}{linebreak}* 7+ years of software development experience building and operating high traffic web services and platforms 2+ years of practical Machine Learning experience.{linebreak}{linebreak}* Familiarity with frameworks such as Azure Machine Learning and Cognitive Services{linebreak}{linebreak}* Caffe Experience with Spark, Hadoop, Pig, MapReduce technologies{linebreak}{linebreak}* Excellent written and verbal communication skills{linebreak}{linebreak}* Strong software design and architecture skills with an eye toward avoiding and reducing technical debt{linebreak}{linebreak}* Demonstrated personal initiative and strong ownership of deliverables{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Candidate must be willing to travel domestically monthly for team meetings and training events.  Opportunity to work from home (if outside Raleigh area) or relocation if desired.  Excellent compensation and benefits package.{linebreak}{linebreak}{linebreak}We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 

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Hays Specialist Recruitment

Machine Learning Engineer


Hays Specialist Recruitment


machine learning

engineer

machine learning

engineer

6mo

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{linebreak}{linebreak}Machine Learning Engineer opportunity in Belfast - Diaceutics are a PharamaTech data organisation. {linebreak}{linebreak}{linebreak}Your new company {linebreak} Diaceutics are a brand new entrant to the Northern Ireland market - a Medtech organisation that have been in business for almost 15 years and count some of the leading organisations within the health/pharmacy world as their clients. This role is a strategic appointment as the company seeks to deliver their customers a true competitive advantage by appointing N.I.'s best data talent within it's ranks to develop outstanding products and solutions. {linebreak} {linebreak} Your new role {linebreak} Directing the organisation's analytics capabilities, you'll have the opportunity to develop new solutions using cutting edge tools and algorithms. Your key responsibility will be to analyse current data sets and identify supportive data sets for NPD in a highly collaborative and driven product environment. You'll claim ownership for the design, development, delivery and evaluation of these new solutions and directly influence company strategic decision making with your expertise and knowledge. {linebreak} {linebreak} What you'll need to succeed {linebreak} Ideally you should be educated to MSc or PhD level within an IT/mathematical/scientific discipline and have an intermediate level of experience. You'll be passionate about being hands on in developing algorithms/mathematical models whilst also taking a step up to being involved at a more senior strategic level. Ideally, you should have skills within cloud-based systems, be comfortable in a programming language (Java/Python/C++) and have a high level of competency in data modelling/manipulation. Your experience in Machine Learning, Neural Networks and Deep Learning are considerably attractive to your new organisation. {linebreak} {linebreak} What you'll get in return {linebreak} This unique opportunity will provide you with a substantial salary and benefits package in line with your data science experience. As a Director, you'll be given the opportunity to directly influence the company direction and be positioned as the company ambassador for Data Science/ML in lectures/events etc. {linebreak} {linebreak} What you need to do now{linebreak} If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call Jason Brownlee at Hays IT now.{linebreak} {linebreak} If this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career.{linebreak} {linebreak} Hays Digital Technology is working exclusively in partnership with Diaceutics to manage the recruitment of this position. {linebreak} {linebreak}{linebreak}Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

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Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.{linebreak}{linebreak}We value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare. Our data science team is deliberate and self-reflective about the kind of data team and culture that we are building, seeking data scientists and engineers that are not only strong in their own aptitudes but care deeply about supporting each other's growth. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds.{linebreak}{linebreak}Doximity’s social network has over 70% of US doctors as members. We recently launched a newsfeed which helps physicians navigate the latest practice-changing medical literature, parsing through millions of scientific studies while personalizing content to their patient base and every stage of their medical career. We’re looking for a deep learning expert to help our data science and engineering teams build models in support of the newsfeed, combining metadata from our clinician social graph with text-based features.{linebreak}{linebreak}How you’ll make an impact:{linebreak}{linebreak}-Apply NLP methods and build deep neural networks to personalize medical content to our clinician -members.{linebreak}-Optimize the layout of different content types (e.g., journal articles, news articles, video, social updates) within the newsfeed.{linebreak}-Collaborate with data engineers to devise plans to refresh the newsfeed and surface optimized content to users near real-time.{linebreak}-Provide technical leadership to other data scientists and data engineers working on the newsfeed product.{linebreak}{linebreak}What we’re looking for:{linebreak}{linebreak}-4+ years of industry experience and M.S./Ph.D. in Computer Science, Engineering, Statistics, or other relevant technical field.{linebreak}-4+ years experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods) and parameters that affect their performance.{linebreak}-Experience building deep neural networks in support of recommendation systems.{linebreak}-Solid engineering skills to build scalable solutions and help automate data processing challenges.{linebreak}-Desire to provide technical leadership and mentorship to other data team members.{linebreak}-Expert knowledge of probability and statistics (e.g., experimental design, optimization, predictive modeling).{linebreak}-Excellent problem-solving skills and ability to connect data science work to product impacts.{linebreak}-Fluent in SQL and Python; experience using Apache Spark (pyspark).{linebreak}-Experience working with relational and non-relational databases.{linebreak}{linebreak}Nice to have:{linebreak}{linebreak}-Experience applying reinforcement learning to industry problems.{linebreak}{linebreak}About Doximity{linebreak}{linebreak}We’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us!{linebreak}{linebreak}Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

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Millions of people experience real-life adventures with our apps. We help users all over the world discover the best hiking and biking routes, working to empower everybody to explore more of the great outdoors. And we’re good at what we do: Google and Apple have listed us as one of their Apps of the Year numerous times—and we are consistently ranked amongst the highest-grossing apps in both Google Play and the App Store. {linebreak}{linebreak}One key driving factor to our growth has always been our understanding that a technological approach can provide an outdoor experience far beyond the possibilities of traditional services. On the one side, we collect, combine and process various open data sources (such as OSM and Wikipedia) and turn raw data into easily accessible information and understandable products, such as our easy-to-use outdoor route planner. On the other, we leverage the wisdom of our vast user base and use crowdsourced data for personalized, local outdoor recommendations. Now, with your strong analytical skills and your passion for building well-crafted and tested code, we’ll leave traditional, standard solutions even further behind—and we’ll truly change the way people explore.{linebreak}{linebreak}**Your key responsibilities**{linebreak}{linebreak}- Implement new features closely together with our web and mobile developers, designers, copywriters and product managers.{linebreak}- Develop and tune algorithms to leverage our content recommendation, rankings, content analyses and product smartness.{linebreak}- Build new and improve existing micro-services, primarily in Java/Kotlin and Python.{linebreak}- Use the AWS ecosystem to build resilient and high-performing systems.{linebreak}{linebreak}**Why you will love it**{linebreak}{linebreak}- You’ll work on a global product that inspires millions of users.{linebreak}- You’ll get system access on your first day, as we know you are a smart and responsible engineer.{linebreak}- You’ll take ownership over your projects from day one (from concept to implementation; testing, deployment and monitoring).{linebreak}- Your challenging tasks will keep improving your skills and keep you up-to-date with the latest technologies.{linebreak}- We have a wide range of diverse challenges, in particular in the GIS domain.{linebreak}- We believe good ideas count more than hierarchies.{linebreak}- You’ll work together with enthusiastic engineers, hikers and cyclists.{linebreak}- You’ll travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides.{linebreak}- We let you work from wherever you want, be it a beach, the mountains, our headquarters in Potsdam or anywhere else that lies between the time zones UTC-1 and UTC+3.{linebreak}{linebreak}**You will be successful in this position if you**{linebreak}{linebreak}- Are highly self-driven, responsible and keen to learn and improve.{linebreak}- Know your toolkit: git, ssh, bash, junit, jenkins and docker.{linebreak}- Have deep experience (4+ years) in developing software running under high load{linebreak}- Possess professional experience in Java and Python.{linebreak}- Have demonstrable knowledge of common algorithms within the machine learning and statistics space.{linebreak}- Have strong analytical skills.{linebreak}- Love to tune, test, simulate and evaluate solutions to unusual problems.{linebreak}- Live and breathe DevOps and believe in automated testing, infrastructure as code, continuous deployment, monitoring and open communication.{linebreak}{linebreak}**Sound like you?**{linebreak}Then send us the following:{linebreak}{linebreak}- Your CV.{linebreak}- A write-up explaining who you are and why you are interested in working at komoot.{linebreak}- Examples of your work (e.g. GitHub, PDFs, Slideshare, etc.).{linebreak}- Something that shows us a little more about what you’re interested in, be it your Twitter/Instagram account or your blog.{linebreak}- As we love people that go the extra mile, you’ll get bonus points for doing something creative with komoot.{linebreak}

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Doximity

verified

Senior Data Scientist, Graph Analytics


Doximity


python

machine learning

data science

senior

python

machine learning

data science

senior

6mo

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Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.{linebreak}{linebreak}We value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare. Our data science team is deliberate and self-reflective about the kind of data team and culture that we are building, seeking data scientists and engineers that are not only strong in their own aptitudes but care deeply about supporting each other's growth. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds.{linebreak}{linebreak}Doximity’s social network has over 70% of US doctors as members and 40M connections among them. We currently are looking for a data scientist to lead a team of other data scientists, data engineers and data analysts with the goal of utilizing this medical graph to better connect and promote discussion among our clinician members.{linebreak}{linebreak}How you’ll make an impact:{linebreak}{linebreak}-Build link prediction models to recommend colleagues for our members to connect and engage with (the “people you may know” problem) to increase user engagement across Doximity’s platforms.{linebreak}-Leverage data from Doximity’s social graph to improve the user personalization models that recommend medical and social content to our clinician members.{linebreak}-Discover trends and new business opportunities from physician’s medical claims and referral networks.{linebreak}-Provide technical leadership to other data scientists and data engineers working on our growth and colleaguing product teams.{linebreak}{linebreak}What we’re looking for:{linebreak}{linebreak}-4+ years of industry experience and M.S./Ph.D. in Computer Science, Engineering, Statistics, or other relevant technical field.{linebreak}-4+ years experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods) and parameters that affect their performance.{linebreak}-Experience applying graph theory, analytics, and processing to industry problems.{linebreak}-Solid engineering skills to build scalable solutions and help automate data processing challenges.{linebreak}-Desire to provide technical leadership and mentorship to other data team members.{linebreak}-Excellent problem-solving skills and ability to connect data science work to product impacts.{linebreak}-Fluent in SQL and Python; experience using Apache Spark (pyspark){linebreak}-Experience working with relational and non-relational databases.{linebreak}{linebreak}Nice to have:{linebreak}{linebreak}-Experience with neo4j and either Spark GraphX or GraphFrames for performing graph analytics{linebreak}{linebreak}About Doximity{linebreak}{linebreak}We’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us!{linebreak}{linebreak}Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

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Mycos Technologies

Machine Learning Research Engineer


Mycos Technologies


machine learning

engineer

machine learning

engineer

7mo

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{linebreak}Work with a Google Top 10 Expert in the field of ML to create innovative solutions in relationship analytics.  The position can be based in Singapore, Bangkok, Chiang Mai, or remotely for the right candidate.{linebreak}{linebreak}Skills & Requirements{linebreak}{linebreak}{linebreak}* A creative approach to problem solving{linebreak}{linebreak}* An understanding of fundamental statistical and machine learning algorithms{linebreak}{linebreak}* Solid programming skills in one programming language (Python preferred){linebreak}{linebreak}* Some exposure to Keras, Tensorflow or other ML libraries{linebreak}{linebreak}* A willingness to discuss, collaborate, and disagree, professionally{linebreak}{linebreak}* A passion for exploration and iteration{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}What will get Our Attention{linebreak}{linebreak}{linebreak}{linebreak}* Keras or Github contributions{linebreak}{linebreak}* Academic credentials in statistics, mathematics, ml, or research-focused computer science{linebreak}{linebreak}* Coursera {linebreak}{linebreak}{linebreak}

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Invisible Technologies

Own Piece of the Next Amazon - Engineer


Invisible Technologies


javascript

amazon

node js

machine learning

javascript

amazon

node js

machine learning

7mo

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Invisible is a process automation company.{linebreak}Read about our company here: [https://inv.tech/summary](https://inv.tech/summary){linebreak}Apply for our job here: [https://inv.tech/go](https://inv.tech/go){linebreak}Join our ~20 person startup, grow your engineering skills, get significant equity, share in profits.{linebreak}By the way, if you're not a fit but you know someone who is, pass this along. We offer cash for any qualified referrals.{linebreak}## Requirements:{linebreak}Deep operational understanding of JavaScript.{linebreak}Experience in different programming paradigms, especially functional programming.{linebreak}## Nice to have:{linebreak}Specialty in Security{linebreak}Specialty in Machine Learning{linebreak}## Benefits:{linebreak}We work 100% remotely. Our team is distributed all over the world.{linebreak}Aside from scheduled meetings (which we try to minimize), we don’t care about your work hours.{linebreak}We deeply value personal growth and will help you advance in whatever direction(s) you want.{linebreak}We are a [partnership](https://inv.tech/partners), so you will earn equity and share profits.{linebreak}Interested? Fill out this form to say hello: https://inv.tech/go{linebreak}# Longer version{linebreak}## General traits:{linebreak}- Demonstrated personal initiative in the past (leadership roles in extra-curriculars, side projects){linebreak}- High introspection (via meditation practice, journaling, art, travel, or non-required writing){linebreak}- Servant mindset — “How can I take care of this on behalf of others for the benefit of all?”{linebreak}- Growth mindset — problems are opportunities, impossibilities are challenges, life is best outside of the comfort zone{linebreak}- Lack of ego, a hunger for feedback and improvement{linebreak}- Abundance mindset — gratitude for what you have, preference for non zero-sum games{linebreak}- Personal philosophy that can be clearly stated and that can be questioned and examined{linebreak}- Contrarian’s eye — what are others missing here? What doesn’t make sense? What is overlooked because it’s obvious?{linebreak}- Systems level thinking — ability to reason on the micro, macro, and especially meta levels in one system or multiple.{linebreak}- Design thinking — How is my framing of the situation affecting the users’ experience? What other ways could I combine these elements with same effect?{linebreak}- Detail orientation and precise task habits{linebreak}## Bonus if you have:{linebreak}Past or future interest in the works of Ed Catmull, Peter Thiel, Kevin Kelly, Ray Dalio, John Keats, Douglas Hofstadter, Joseph Campbell.{linebreak}Experience working remotely.{linebreak}Experience with startups.{linebreak}Interest in mental models and a few favorites of your own.{linebreak}## On Experience:{linebreak}No specific kind of experience is required, per se. Experience is neither sufficient nor necessary when trying to predict success.{linebreak}Experience may bias people towards ideas that prevent them from operating from first principles.{linebreak}Experience may accelerate learning because of our human ability to pattern match.{linebreak}We’re really looking for a mixture of qualities, with emphasis on hunger for growth, humility, and resourcefulness.{linebreak}Ready to apply? Fill out this form to say hello: https://inv.tech/go

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Knock.com

Senior Machine Learning Engineer


Knock.com


machine learning

senior

engineer

machine learning

senior

engineer

8mo

Apply

{linebreak}We’re seeking a Senior Machine Learning Engineer to join us in building both our predictive models and our data science team. You will get to work with some of the most interesting data sets and have the freedom and responsibility to help shape our core products from initial data exploration to production models. You will design and implement the foundation of our predictive models and work closely with other team members to test the accuracy in local markets.{linebreak}{linebreak}{linebreak}As a Senior Machine Learning Engineer you will:{linebreak}{linebreak}{linebreak}* Design and develop models to predict trends in residential real estate transactions{linebreak}{linebreak}* Develop, train, test, deploy and iterate models on large scale machine learning systems{linebreak}{linebreak}* Explore new data which can impact the model predictions{linebreak}{linebreak}* Assess models accuracy and the impact of data quality on the precision of the price predictions{linebreak}{linebreak}* Apply and integrate model predictions to our new and existing products{linebreak}{linebreak}* Communicate model outcome to the rest of the team{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}We’re looking for teammates who have:{linebreak}{linebreak}{linebreak}* Strong desire to work at a rapidly growing startup and make it a success{linebreak}{linebreak}* Passion for taking on complex real world datasets, understanding them and building useful applications{linebreak}{linebreak}* Commitment to rigorous analysis and model validation{linebreak}{linebreak}* Passion for Deep Learning and Machine Learning{linebreak}{linebreak}* Thorough knowledge of machine learning frameworks, particularly TensorFlow, good understanding of inner working of the frameworks{linebreak}{linebreak}* 5+ years full lifecycle software engineering experience including: coding, testing, troubleshooting and deployment using general-purpose languages such as: Python, R, Scala, Go{linebreak}{linebreak}* 2+ years experience with building production end-to-end machine learning models at scale using distributed platforms such as Hadoop or Spark{linebreak}{linebreak}* Advanced degree in computer science, statistics, mathematics, or similar fields{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}What we can offer you:{linebreak}{linebreak}{linebreak}* An amazing opportunity to be an integral part of building the next multi-billion dollar consumer brand around the single largest purchase of our lives.{linebreak}{linebreak}* You will be working with a passionate, mission-driven team that is disrupting the status quo.{linebreak}{linebreak}* Competitive cash and equity compensation, full medical, dental, vision benefits, 401k, flexible work schedule, unlimited vacation (2 weeks mandatory) and sick time and are open to where you live and work.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}We have offices in New York, San Francisco and Atlanta with more on the way.  We are a distributed company with employees in 13 different states, so we are open to any US location for this role.  {linebreak}{linebreak}Knock is an Equal Opportunity Employer. Individuals seeking employment at Knock are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation.{linebreak}{linebreak}Please no recruitment firm or agency inquiries, you will not receive a reply from us.

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Affectv

Java Developer Learn Big Data Machine Learning


Affectv


big data

dev

java

machine learning

big data

dev

java

machine learning

8mo

Apply

{linebreak}Do you want to learn Big Data & Machine Learning within your Java Developer role? Would you enjoy working on Large Data Sets/Data Lakes? Do you want the flexibility of working from home?{linebreak}{linebreak}If the answer’s yes, then this is the role for you!{linebreak}{linebreak}The best part is that you need no prior experience working in a Data Engineering position – just a solid knowledge of Java and the passion for wanting to make the move into a more data heavy role!{linebreak}{linebreak}We’re a mature tech start-up based in Central London and we need an innovative, passionate and enthusiastic Java Developer to create and maintain a highly scalable intelligent Data Lake platform, making use of Big Data and Machine Learning concepts which you will get to learn on the job.{linebreak}{linebreak}We have a unique platform and we’re totally revitalising the way mobile apps are promoted, advertised and marketed. As a result, we’re helping thousands of developers manage and monetise their apps, making them more visible to the wider public, making them easier to download, increasing the amount of downloads and therefore increasing revenue streams.  {linebreak}{linebreak}With excellent investment and a team of experienced leaders, we now need to scale up the development team (starting with the Java team and then looking to scale up the Data Science function).{linebreak}{linebreak}To succeed as Java Developer (with a focus on data), you’ll learn skills on the job to:{linebreak}{linebreak}{linebreak}* Develop a complex, intelligent Data Lake Platform{linebreak}{linebreak}* Work collaboratively with Java and Data Science teams{linebreak}{linebreak}* Design highly scalable Java 8 architecture{linebreak}{linebreak}* Utilise big data and machine learning technology{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}We’re at the forefront of the industry and Tech is everything to us. As Java Developer you’ll have the opportunity to work with the latest technologies in the market (Big Data, Machine Learning, Scala, Python, Spark), with scope to gain cross-training into other areas of the business including Data Scientists roles or further careers within Java at Lead level in the future.{linebreak}{linebreak}In order to do this, you’ll bring your experience including:{linebreak}{linebreak}{linebreak}* A passion for Clean Code and best engineering principles, and you’ll be able to discuss where and why you’ve implemented them in previous roles.{linebreak}{linebreak}* Conceptual knowledge of Dropwizard for microservices architecture{linebreak}{linebreak}* Knowledge of Gradle for Automation and GIT for version control{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Familiarity of Docker Containers and AWS knowledge would be a big bonus, and an understanding of REST API & GUICE for dependency is highly beneficial but definitely not essential.{linebreak}{linebreak}Your work/life balance matters, and we know that you’ll do you best work when you’re comfortable. So, with that in mind, we use Slack, Zoom and other tech to create a flexible working environment, enabling you to work remotely or with the option of flexible hours.{linebreak}{linebreak}Once up to speed with the tech and applications, you can choose to work from home or come into the office after rush hour. Avoid that manic/uncomfortable commute!{linebreak}{linebreak}We know you’ll be successful as our new Java Developer so we’re offering a competitive benefits package including share options and an extremely fast rate of progression due to rapid business growth plans.{linebreak}{linebreak}And that’s not all! As well as the experience you’ll gain in Big Data, Machine Learning & AWS, you’ll have unlimited holidays, work alongside an ambitious Data Science team and progress rapidly. Oh, and as well as a healthy salary, we’ll keep you healthy with unlimited fruit, tea and coffee (OK, caffeine isn’t that healthy, but it makes us happy…).{linebreak}{linebreak}Are you ready to tackle this challenge?{linebreak}{linebreak}Kick your Java Developer career up a gear and apply now! {linebreak}{linebreak}Tapdaq work in partnership with Talent Point, a Hiring Communications business, who have designed this role on behalf of Tapdaq. When you apply, Giggs will give you a call and he'll tell you even more details about the role and help you though every step of the process.{linebreak}{linebreak}{linebreak} {linebreak} No terminology in this advert is designed to discriminate on grounds of gender, race, colour, religion, creed, disability, age, sex or sexual orientation. We’re an equal-opportunity employer and do not discriminate against these or any other class protected by applicable law.

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Radical Convergence

Machine Learning Engineer


Radical Convergence


machine learning

engineer

machine learning

engineer

8mo

Apply

{linebreak}Radical Convergence is looking for extraordinary people who want to join an amazing team and solve big problems for our customers. We are seeking a Machine Learning Engineer to work collaboratively with highly talented team members to create a best-in-class software application. The ideal candidate has experience applying state of the art machine learning algorithms and deep learning frameworks to perform classification, detection, key attribute extraction and other deep learning techniques against multimedia content (i.e. images, videos). The ideal Candidate will also have strong software development skills and scripting experience to prototype algorithms and models working with a team of engineers to productize offerings. {linebreak}{linebreak}Qualifications{linebreak}{linebreak}{linebreak}* 3+ years experience in selecting or developing algorithms for performing a variety of machine learning and computer vision tasks with demonstrable experience{linebreak}{linebreak}* {linebreak}{linebreak}3+ years experience in applying and adapting the latest research in machine learning and computer vision to support business objectives including prototype development and product integration.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}3+ years experience performing model training / algorithm development optimizing for speed, size or accuracy and developing / refining new and existing training sets as required.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}5+ years experience designing, developing, enhancing, debugging and implementing software and algorithms using programming languages such as Java, C++, Python, R, or JavaScript.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Proficiency in Machine Learning processes such as feature extraction, statistical approaches, linear and non-linear classifiers, and deep learning including one or more approaches such as Convolutional Neural Networks, Recurrent Neural Networks, Recursive Neural Networks, or Generative Adversarial Networks.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Experience with deep learning frameworks such as Caffe, TensorFlow, or Torch{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Proficiency in in Image Processing, Image Analysis, and/or Computer Vision{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Ability to work independently, in a SCRUM-like environment with strong desire to push your ideas into production, overcoming obstacles, in order to deliver impact. {linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Compensation depends on candidate's experience with relevant machine learning qualifications. Onsite preferred though with the right candidate will consider remote. 

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Elastic

Machine Learning


Elastic


machine learning

machine learning

8mo

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{linebreak}At Elastic, we have a simple goal: to pursue the world's data problems with products that delight and inspire. We help people around the world do exceptional things with their data. From stock quotes to Twitter streams, Apache logs to WordPress blogs, our products are extending what's possible with data, delivering on the promise that good things come from connecting the dots. Often, what you can do with our products is only limited by what you can dream up. We believe that diversity drives our vibe. We unite Elasticians across 30+ countries into one unified team, while the broader community spans across over 100 countries{linebreak}{linebreak}Machine Learning at Elastic{linebreak}{linebreak}Machine Learning (ML) for the Elastic Stack allows users to better understand the behavior of their data. We have developed an unsupervised machine learning engine that can plow through large amounts of data and automatically find those insights our users today have been proactively finding using search. Current use cases include finding anomalies within transactions / operational metrics, detecting uncharacteristic user behavior or finding malicious devices.{linebreak}{linebreak}To help us further expand our capabilities we are looking to hire an extraordinary individual who can support us in our insatiable appetite for data. You will have an amazing opportunity to join a small, dedicated and highly experienced team where you can make an immediate impact and contribution to the development of our new machine learning offerings.{linebreak}{linebreak}What you will be doing{linebreak}{linebreak}You will support the data driven development of engineering features by making the data accessible to engineers and data scientists.{linebreak}{linebreak}{linebreak}* Curate and extend data libraries - develop, acquire and catalog datasets representative of core customer use cases{linebreak}{linebreak}* Extract, transform and load relevant data to accessible data formats{linebreak}{linebreak}* Develop, support and maintain data collection infrastructures using our Elastic Stack{linebreak}{linebreak}* Perform data analysis on complex datasets and clearly describe and communicate findings to peers{linebreak}{linebreak}* Follow GDPR policies, security and data license requirements where applicable{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}What you will bring{linebreak}{linebreak}{linebreak}* A BS, MS or PhD in an applied data science discipline such as Mathematics, Physics, Engineering or similar{linebreak}{linebreak}* Practical industry experience (at least a few years) working in a data engineering or data analysis role{linebreak}{linebreak}* Proven ability to work with large data sets{linebreak}{linebreak}* Ready to be part of a dedicated distributed team, having strong collaboration and communication skills{linebreak}{linebreak}* Able to plan, prioritize and deliver complex data projects{linebreak}{linebreak}* Knowledge, interest and a real passion for topics in big data, machine learning, mining of data and statistical analysis{linebreak}{linebreak}* Able to analyse real-world datasets and extract insights according to a customer use case{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}You are experienced in one or more of the following{linebreak}{linebreak}{linebreak}* Statistical packages and tools (e.g. R, SAS, Octave, MATLAB, etc){linebreak}{linebreak}* Scripting languages (e.g. Unix Shell scripts, Python, etc){linebreak}{linebreak}* Visualization technologies (Matplotlib, Seaborn, d3, etc){linebreak}{linebreak}* NoSQL or relational databases{linebreak}{linebreak}* Working with big amounts of data on AWS/Cloud platforms is a huge plus{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Additional Information{linebreak}{linebreak}{linebreak}* Competitive pay and benefits{linebreak}{linebreak}* Stock options{linebreak}{linebreak}* Catered lunches, snacks, and beverages in most offices{linebreak}{linebreak}* An environment in which you can balance great work with a great life{linebreak}{linebreak}* Passionate people building great products{linebreak}{linebreak}* Employees with a wide variety of interests{linebreak}{linebreak}* Distributed-first company with employees in over 30 countries, spread across 18 time zones, and speaking over 30 languages!{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Elastic is an Equal Employment employer committed to the principles of equal employment opportunity and affirmative action for all applicants and employees. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status or any other basis protected by federal, state or local law, ordinance or regulation. Elastic also makes reasonable accommodations for disabled employees consistent with applicable law.

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Buzzbird

Machine Learning Data Engineer


Buzzbird


machine learning

engineer

machine learning

engineer

9mo

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{linebreak}{linebreak}* In deiner Rolle wirst du unseren Matching-Algorithmus perfektionieren. {linebreak}{linebreak}* Wir suchen keinen reinen Wissenschaftler, sondern in dieser Phase jemanden, der vor allem viel praktische Erfahrung mit Datenvorverarbeitung und einen guten Überblick über die AI Landschaft mitbringt. {linebreak}{linebreak}* Du solltest in deinem letzten Job schon einmal Machine Learning (am besten in einer Startup Umgebung) implementiert haben. {linebreak}{linebreak}* Die dazugehörige Infrastruktur kannst du selbst mitgestalten (Data Management, etc.).{linebreak}{linebreak}* Zugriff auf unser Backend mit bisherigen Booking Transaktionen für Performance-Indikatoren.{linebreak}{linebreak}* Im Optimalfall kennst du die APIs der großen Social Networks in und auswendig. Wenn du einen anderen Background hast, haben wir bei uns aber auch entsprechenden Ikonen. {linebreak}{linebreak}* Du solltest GIT Branches im Terminal mergen können.{linebreak}{linebreak}* Du hast schon mal ein Team geleitet oder traust dir zu eines zu leiten.{linebreak}{linebreak}* Die Arbeit generell ist im Social Media / Marketing Umfeld (YouTube, Instagram, Facebook,...). Dich sollte das Thema schon interessieren, um mit uns auf Augenhöhe über Features zu diskutieren.{linebreak}{linebreak}{linebreak}

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Rainforest

Data Science Generalist


Rainforest


python

machine learning

data science

python

machine learning

data science

9mo

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We're looking for a Data Scientist/Machine Learning Engineer with a wide range of competencies. Rainforest is changing the way people do QA and data is at the heart of how we do that. From crowd management and fraud detection to data visualization and automation research, there are myriad opportunities to use your creativity and technical skills.{linebreak}{linebreak}We are looking for someone who learns quickly and is a great communicator. Since we are a remote, distributed development team, decent writing skills and(over)communication is important to us. You can be based anywhere in the world (including San Francisco, where our HQ is located).{linebreak}We regularly send our data scientists to conferences, both [to speak](https://www.youtube.com/watch?v=7_h8PElXio8) and just learn (e.g. last year we went to NIPS and KDD, this year to Europython and a couple of [PyDatas](https://www.youtube.com/watch?v=8kL71zk4KNk)). You can read about some of our work on [predicting test run durations](https://www.rainforestqa.com/blog/2017-11-07-how-to-predict-and-reduce-test-execution-time/) and how [Kaggle](https://www.rainforestqa.com/blog/2017-10-24-kaggle-perks-in-real-data-science-work/) can be useful in the real world. And hear some of our team members speak on the topic of Women, Company Culture, and Remote Teams [here](https://www.youtube.com/watch?v=BwKHfPgLcBY). {linebreak}{linebreak}

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# How do you apply? Please use this link to apply: https://jobs.lever.co/rainforest/e7eab367-cae8-4e7b-8642-e7b66c4c00bb
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Envision & Company Ltd.

Data Scientist


Envision & Company Ltd.


javascript

react

mobile

machine learning

javascript

react

mobile

machine learning

9mo

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About Envision{linebreak}Envision is a FinTech start-up company based at level 39 Canary Wharf London, Europe’s largest technology accelerator for FinTech. Envision is also a member of the Innovate Finance and very actively engaged with the London’s fast paced FinTech community. At Envision we believe in a future free from the complexity of the payments eco-system, building our solutions with privacy of consumer data in mind and security by design. We give our customers peace of mind from the risk of growing online fraud with our innovative solutions using AI and cutting edge technology.{linebreak}{linebreak}Envision has built a digital payments platform from scratch with the highest security standards (PCI-DSS Level 1). We are now building SpiralPay, an innovative mobile wallet platform that revolutionises payments, secure identity verification and data privacy all in a single platform.{linebreak}{linebreak}SpiralPay allows people to take back control of their data acting as a single tool for secure login, identity verification and payments without storing or sharing personal data. Even Envision will not have access to the data as the key always stays in the hands of the consumer. Unlike other wallets we focus heavily on security, promising our customers that we will never store their personal data or share to third parties with their explicit consent.{linebreak}{linebreak}We are also adapting Spiral360, our innovative AI/machine learning enabled real-time fraud detection solution, to SpiralPay app with in-built machine learning/ AI algorithms for real-time fraud detection operating on the mobile device even while the user is offline. Using a unique personal behavioral map which is created and updated frequently after each transaction.{linebreak}{linebreak}We are fully remote team at the moment and so communication is really important, we use Slack to make it easier and we also have regular video conference calls.{linebreak}{linebreak}The role{linebreak}{linebreak}• 1 Data Scientist{linebreak}{linebreak}We are looking for an individual who has a strong coding background in Python. The role requires working with all kind of libraries such as Tensorflow, Scikit-learn etc. Our primary focus is building statistical models as well as utilising machine learning and/or deep learning. Data manipulation skills in SQL based toolsets are also essential as is the ability to work with APIs (including defining APIs for Data science applications). This is an exceptional prospect with plenty of room for career progression.{linebreak}3+ years’ experience in Artificial intelligence/ Machine learning is required.{linebreak}{linebreak}Data Scientist Job Responsibility:{linebreak}{linebreak}• Selecting features, building and optimising classifiers using machine learning based tools or processes within our company{linebreak}• Data mining using state-of-the-art methods{linebreak}• Ability to research, design and implement self-learning algorithms{linebreak}• Ability to clearly communicate the designed algorithms, data flows and outcomes{linebreak}• Develop models for fraud detection for various payment transactions and social media content{linebreak}• Strong skills in statistics, machine learning and/or deep learning{linebreak}• Demonstrated experience with development of high performance models used for real-time processing{linebreak}• Comfortable working with developers with the willingness to both teach others and learn new techniques{linebreak}• Processing, cleansing, and verifying the integrity of data used for analysis{linebreak}• Creating automated anomaly detection systems with constant performance tracking{linebreak}{linebreak}Desirables{linebreak}• Extensive experience with designing REST API{linebreak}• Knowledge of Spark, Kafka{linebreak}• Experience with Docker containers{linebreak}• Familiar with Unix operating systems (Ubuntu){linebreak}{linebreak}Personal Skills{linebreak}• Individual with a passion and enthusiasm to take on bigger challenges and stretching goals.{linebreak}• Success mindset.{linebreak}• Proactive and creative self-starter.{linebreak}• Problem solver with positive mental and learning attitude.{linebreak}• Team player with strong interpersonal, communication skills.{linebreak}• Can work in small team with a vision to grow.{linebreak}{linebreak}Please check http://www.envisionworld.co for more information or contact us at info@envisionworld.co{linebreak}{linebreak}We thank you in advance for your interest!{linebreak}{linebreak}The Envision Team

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# How do you apply? Please email your CV and cover letter to info@envisionworld.co
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Doximity

verified

Senior Data Scientist


Doximity


python

machine learning

data science

senior

python

machine learning

data science

senior

10mo

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Doximity is the leading online medical network with over 70% of U.S. doctors as members. We have strong revenues, profits, real market traction, and we’re putting a dent in the inefficiencies of our $2.5 trillion U.S. healthcare system. After the iPhone, Doximity is the fastest adopted product by doctors of all time. Launched by Jeff Tangney in 2011; Jeff previously founded healthcare pioneer Epocrates (NASDAQ: EPOC). Our beautiful offices are located in SoMa San Francisco.{linebreak}##Skills & Requirements{linebreak}- 4+ years of industry experience and M.S./Ph.D. in Computer Science, Engineering, Statistics, or other relevant technical field.{linebreak}- 4+ years experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, deep learning) and parameters that affect their performance.{linebreak}- Expert knowledge of probability and statistics (e.g., experimental design, optimization, predictive modeling).{linebreak}- Experience with recommendation algorithms and strong knowledge of machine learning concepts.{linebreak}Solid engineering skills to build scalable solutions and help automate data processing challenges.{linebreak}- Excellent problem-solving skills and ability to connect data science work to product impacts.{linebreak}- Fluent in SQL and Python; experience using Apache Spark (pyspark) and working with both relational and non-relational databases.{linebreak}- Familiarity with AWS, Redshift.{linebreak}{linebreak}##What you can expect{linebreak}- Employ scalable statistical methods and NLP methods to develop machine learning models at scale, owning them from inception to business impact.{linebreak}- Leverage knowledge of recommendation algorithms to increase user engagement through personalization of delivered content.{linebreak}- Plan, engineer and measure outcomes of online experiments to help guide product development.{linebreak}- Collaborate with a team of product managers, analysts, data engineers, data scientists, and other developers.{linebreak}- Think creatively and outside of the box. The ability to implement and test your ideas quickly is crucial.{linebreak}{linebreak}##Technical Stack{linebreak}- We historically favor Python and MySQL, but leverage other tools when appropriate for the job at hand.{linebreak}- Machine learning (linear/logistic regression, ensemble-models, boosted-models, clustering, NLP, text categorization, user modeling, collaborative filtering, etc) via industry-standard packages (sklearn, nltk, -Spark ML/MLlib, GraphX/GraphFrames, NetworkX, gensim).{linebreak}- A dedicated cluster is maintained to run Apache Spark for computationally intensive tasks.{linebreak}- Storage solutions: Percona, Redshift, S3, HDFS, Hive, neo4j.{linebreak}- Computational resources: EC2, Spark.{linebreak}- Workflow management: Airflow.{linebreak}{linebreak}##Fun facts about the Data Science team{linebreak}- We have access to one of the richest healthcare datasets in the world, with deep information on hundreds of thousands of healthcare professionals and their connections.{linebreak}- We build code that addresses user needs, solves business problems, and streamlines internal processes.{linebreak}- The members of our team bring a diverse set of technical and cultural backgrounds.{linebreak}- Business decisions at Doximity are driven by our data, analyses, and insights.{linebreak}- Hundreds of thousands of healthcare professionals will utilize the products you build.{linebreak}- A couple times a year we run a co-op where you can pick a few people you'd like to work with and drive a specific company goal.{linebreak}- We like to have fun - company outings, team lunches, and happy hours!

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Senseye

Machine Learning Engineer


Senseye


golang

machine learning

engineer

golang

machine learning

engineer

11mo
Southampton, United Kingdom - Senseye is an exciting and rapidly expanding start up in the field of condition monitoring and prognostics. We are developing a cutting edge cloud product to provide scalable prognostics and advanced condition monitoring to the manufacturing sector. Our team o...

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Revl.com

Senior Machine Learning Engineer


Revl.com


machine learning

senior

engineer

machine learning

senior

engineer

11mo

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{linebreak}Revl is seeking an experienced machine learning engineer to join our team!{linebreak}{linebreak}Our smart action cameras have just started rolling off the production line and shipping to customers. In addition to awesome cameras with built-in stabilization, we provide video editing software that helps users find the best moments in hours of video. This is an open-ended challenge: find the interesting moments in videos by processing video, audio, still images, and sensor data. You will have the opportunity to be creative and try out new ideas, as well as push yourself and Revl to the cutting edge of new and exciting solutions in video recognition / auto-editing.{linebreak}{linebreak}Being able to turn your ideas into well written, maintainable C++ code that runs on laptops, servers, and mobile devices is a must, because although theoretical solutions to problems can be interesting, we all know the real fun (and value) is in the application of those solutions. If you have a passion for developing complete, unique and powerful ML systems, from a rough idea sketched on a white-board to deployed product, then this is the right opportunity for you.{linebreak}{linebreak}Revl is like no other startup. Our product revolves around adventure and fun and so does our culture. We're a small team and we work to quickly deliver products to delight our customers.{linebreak}{linebreak}We are well funded by several reputable VC's and Angel Investors including Y Combinator, Comcast Ventures, Frog Design Ventures, Luma Pictures, Bill Tai, and Lars Rasmussen. We offer competitive salary, early equity, daily catered lunches, and we work out of a beautiful, commuter friendly office in SOMA.{linebreak}{linebreak}Requirements:{linebreak}{linebreak}{linebreak}* Strong C++ skills{linebreak}{linebreak}* A strong, general machine learning background (neural networks, random forest, logistic regression, PCA, etc.){linebreak}{linebreak}* Experience prototyping ML models in Python{linebreak}{linebreak}* Experience interpreting sensor data such as accelerometer, gyro, GPS, etc.{linebreak}{linebreak}* Strong user experience instincts{linebreak}{linebreak}* Knowledgeable in Statistics, Math and/or Physics{linebreak}{linebreak}* Excellent communication skills{linebreak}{linebreak}* Located in US or Canada{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Preferred, but not necessary:{linebreak}{linebreak}{linebreak}* Working knowledge of modern computer vision models (InceptionV3, etc){linebreak}{linebreak}* Created at least one large scale ML powered system end-to-end{linebreak}{linebreak}* Experience writing cross-platform (iOS, Android, and server) C++ code{linebreak}{linebreak}* Experience creating models from sensor data{linebreak}{linebreak}* Computer vision expert{linebreak}{linebreak}* Extensive video editing experience{linebreak}{linebreak}* Experience implementing models on mobile{linebreak}{linebreak}* Open source contributions (please provide links){linebreak}{linebreak}* iOS and/or Android development experience{linebreak}{linebreak}{linebreak}

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Stardog Union

Senior Machine Learning Software Engineer


Stardog Union


dev

machine learning

senior

engineer

dev

machine learning

senior

engineer

12mo

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{linebreak}Stardog is the world's leading Knowledge Graph platform for the Enterprise. Turn data into knowledge faster and easier. Stardog lets you query, search, and analyze enterprise data, wherever it is, using scalable, cutting-edge Knowledge Graph technology.{linebreak}{linebreak}We've been actively working on adding machine learning capabilities to Stardog, and are looking for someone to help us take it to the next level.{linebreak}{linebreak}{linebreak}If you're interested in natural language processing, deep learning, probabilistic graphical models, and recommender systems, this might be the job you've been dreaming about!{linebreak}{linebreak}Responsibilities{linebreak}{linebreak}{linebreak}* Research and develop algorithms to analyze large scale (un)structured data{linebreak}{linebreak}* Design and develop high-performance, data-driven components for our distributed database{linebreak}{linebreak}* Implement complex data ingestion pipelines{linebreak}{linebreak}* Deploy and operationalize machine learning models{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Requirements:{linebreak}{linebreak}{linebreak}* 5+ years programming experience, ideally in Java{linebreak}{linebreak}* Strong computer science fundamentals, with advanced knowledge of data structures, algorithms, and software design{linebreak}{linebreak}* Experience on applying machine learning and natural language processing techniques to real world datasets{linebreak}{linebreak}* Interest in recent scientific developments, with an eye for practical applications{linebreak}{linebreak}* Knowledge of Vowpal Wabbit, Theano/Keras, GATE/UIMA, Lucene/ElasticSearch, and similar frameworks{linebreak}{linebreak}{linebreak}

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Agflow

Software Engineer Machine Learning Specialist


Agflow


dev

machine learning

engineer

digital nomad

dev

machine learning

engineer

digital nomad

1yr

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Full Time: Software Engineer & Machine Learning Specialist at AgFlow at AgFlow in Geneva / Remote

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Taina Technology Limited

Machine Learning Software Engineer


Taina Technology Limited


dev

machine learning

engineer

digital nomad

dev

machine learning

engineer

digital nomad

1yr

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{linebreak}Experienced software developer to further strengthen our handwriting recognition team

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HigherEducation.com partners with many of the most recognizable names in the online education industry to help them build their programs and expand student bases with our 75M annual site visitors. We also love to use cutting edge technologies to make developer life enjoyable and more productive.{linebreak}{linebreak}We’re looking for an experienced, hands-on hybrid role of JavaScript Engineer and data scientist to join a major initiative at a critical point in our company’s growth. The ideal candidate (which means you, right?) will be responsible for debugging existing code bases and innovating new solutions through data science research. Other duties include enhancing & maintaining the core product, creating & maintaining the tests for various code repositories,{linebreak}{linebreak}The position requires:{linebreak}- Possess a rock-solid background in Computer Science (minimum BS in Comp Sci or related field) or at least 5 years of development experience in a challenging, fast paced environment.{linebreak}- Demonstrated advanced proficiency in one or more of the following fields: Natural Language -{linebreak} Processing, Machine Learning, Deep Learning, Recommendation Systems.{linebreak}- Server-side JavaScript (e.g. Node.js - Express, Koa, Hapi).{linebreak}- Client-side JavaScript (e.g. React, MobX, Redux).{linebreak}- Build tools (e.g. Gulp, Grunt, Browserify, Webpack).{linebreak}- Exposure to AWS or other cloud platforms a plus.{linebreak}{linebreak}{linebreak}Desired qualifications include experience with:{linebreak}- Advanced degree is a plus but you're not just an academic -- you have hands-on software engineering experience applying complex algorithms to real-world problems at scale.{linebreak}- Work effectively in agile teams; get stuff done with minimal guidance and zero BS, help others and know when to ask for help. Clearly communicate complex technical and product issues to non-technical team members, clients, etc.{linebreak}- Bonus points for experience implementing machine learning algos on GPU's or other hardware acceleration!{linebreak}{linebreak}{linebreak}What it's like {linebreak}{linebreak}Last year, we had a blast. We personally enjoy getting rid of legacy code & turning servers off in favor of clean, new, tested services.{linebreak}{linebreak}Each project is fairly small in scope with a large amount of flexibility and freedom to discuss & find the best architecture for the job and for the team. Usually, a single person heads up a project, collaborates with another for architecture & solutions, and eagerly looks forward to launching (rather than endlessly polishing).{linebreak}{linebreak}- Slack for conversations.{linebreak}- Asana for project tracking & deliverables.{linebreak}- Github for code collaboration.{linebreak}- DroneCI for CI & CD.{linebreak}{linebreak}Being in a USA timezone is highly desirable.{linebreak}{linebreak}{linebreak}For example...{linebreak}{linebreak}In 2016 we...{linebreak}{linebreak}- Built and deployed a central platform for managing monetization across our portfolio.{linebreak}- Broke up an old monolith into smaller Docker services running on Rancher and got a solid, always-deploying CI/CD pipeline.{linebreak}- Established a lightweight Agile process to aid developer efficiency from initiative to initiative.{linebreak}- Worked with in house teams to conduct research in the frame of Recommendation Systems with a working prototype.{linebreak}{linebreak}In 2017 we're...{linebreak}{linebreak}- Building applications to expand the business into areas of organic growth.{linebreak}- Refactoring and simplifying our micro-services ecosystem.{linebreak}- Doubling down in a robust product recommendation approach to better serve our users.{linebreak}{linebreak}{linebreak}Human Environment{linebreak}{linebreak}- Centrally located in downtown Houston, free employee parking.{linebreak}- Coed work environment, casual dress code.{linebreak}- Cool office perks (e.g. sodas & coffee, happy hours, etc.).{linebreak}- Generous salary considerations & full benefits.{linebreak}- 6% 401k matching{linebreak}- 100% health / vision / dental for you & subsidies for the rest of your family{linebreak}- 15 vacation & sick days / yr.{linebreak}- Gym membership reimbursement up to $100/mo{linebreak}{linebreak}{linebreak}What We Value{linebreak}{linebreak}We love to work as a team but office hours are flexible. Producing is more important than meeting a 9 to 5 schedule. We understand there are moments when you need to isolate yourself to concentrate so working from home is permitted and encouraged.{linebreak}{linebreak}We like to have a good time and minimize stress with good in-office coffee, ping pong, lounge/reading time and regular happy hours. We work hard and meet realistic deadlines. What good is delivering a poor product early?{linebreak}{linebreak}We also understand that family is important, so time-shifting (and sometimes day-shifting) is necessary to deliver for both the team & your family.{linebreak}{linebreak}

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Research Square

Machine Learning Scientist


Research Square


machine learning

machine learning

2yr

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{linebreak}Research Square is the leader in ethical author-oriented solutions in the world of academic publishing.  We are home to the American Journal Experts (AJE), which provides solutions that help researchers communicate their work so they can get back to making discoveries.{linebreak}{linebreak}We currently are seeking a freelance Machine Learning Scientist to help us improve and maximize our use of TensorFlow for our language services. This will be a project-based contract with the goal of optimizing a sequence-to-sequence TensorFlow model for a natural language application. 

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Knock

Senior Machine Learning Engineer


Knock


machine learning

senior

engineer

machine learning

senior

engineer

2yr

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{linebreak}We’re seeking a Senior Machine Learning Engineer to join us in building our predictive models and our data science team. You will get to work with some of the most interesting data sets and have the freedom and responsibility to help shape our core products from initial data exploration to production models. You will design and implement the foundation of our predictive models and work closely with other team members to test the accuracy in local markets.{linebreak}{linebreak}As a Senior Machine Learning Engineer you will:{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Design, code, train, test, deploy and iterate on large scale machine learning systems.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Develop model training platform and reusable data infrastructure components to enable rapid prototyping by our data scientists.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Design and build customized learning systems and integrate it with our existing products.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Build predictive services to price residential real-estate.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Assessing the impact of using new data sources on data quality and precision of our price predictions{linebreak}{linebreak}{linebreak}{linebreak}

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Elastic

Research Engineer Machine Learning For Elastic


Elastic


machine learning

engineer

machine learning

engineer

2yr

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{linebreak}Machine Learning at Elastic{linebreak}{linebreak}With the recent addition of Prelert to Elastic, we now have a fully dedicated Machine Learning team in house. Our goal is to further expand our capabilities in developing technologies that allow users to better understand the behavior of their data. Our team has developed an unsupervised machine learning engine that can plow through large amounts of data and automatically find those insights our users today have been proactively finding using search. Current use cases include finding anomalies within transactions / operational metrics, detecting uncharacteristic user behavior, finding a population of attacking IP addresses but we are looking forward to expanding our capabilities to many more in the future.  And in order to get there, our team is looking to hire an exceptional Research Engineer to join them. This is an amazing opportunity to join a small, highly experienced team where you can make an immediate impact and contribution to the core of our new machine learning offering. {linebreak}{linebreak}Your role:{linebreak}{linebreak}As a Research Engineer - Machine Learning you will be a pivotal part of our Prelert team and will contribute to the further development of our Machine Learning focussed projects by being a subject matter expert and resource to the software design and development process.  {linebreak}{linebreak}Our Research team at Elastic focuses on developing and applying techniques from Machine Learning, statistics and data mining, including but not limited to Bayesian modelling, counterfactual reasoning, feature learning and data stream processing. Our goal is to build powerful and robust solutions such as anomaly detection, categorisation and recommendation, enabling customers to gain insight from their data.

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Osprey Informatics

Machine Learning Computer Vision Developer


Osprey Informatics


machine learning

dev

digital nomad

machine learning

dev

digital nomad

2yr

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{linebreak}We are looking for an experienced Machine Learning / Computer Vision Developer to lead the development of our data analysis tooling. You will build, evaluate, and deploy computer vision and machine learning algorithms including object classification, object tracking, object detection, background subtraction and event recognition. You will have the support and collaboration of the rest of the team, however we are looking for this role to lead and direct the future our data analysis tooling. We'd prefer someone on-site however we are open to the right hire provided that at least half of their workday overlaps with 9am to 5pm Mountain Time Zone.

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Kcura

Like Machine Learning A.I. Help Us Expand Product's Analytical Features


Kcura


product manager

machine learning

non tech

exec

product manager

machine learning

non tech

exec

2yr

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{linebreak}kCura is a global company with team members who are driven by our customers to build exceptional software for them to use every day. Our product, called Relativity, handles large volumes of data and helps corporations, law firms, and government agencies solve their own unique data problems.{linebreak}{linebreak}• Work with your team and other stakeholders to define, design, implement, test, document, and deliver quality software products in a fast paced environment utilizing Java, Scala, and other technologies as needed.{linebreak}{linebreak}• Utilize sound engineering practices to deliver functional, reliable, secure, tested and maintainable software that satisfies stakeholders requirements.{linebreak}{linebreak}• Work with the team to improve the scalability and performance of existing products.{linebreak}{linebreak}• Positively contribute to the culture, well-being, and growth of each team member and the company at large by being a helpful and considerate team member and by adhering to the company’s core values.{linebreak}{linebreak}The way we work together is centered on our core values of collaborating, communicating, pushing to exceed expectations (even our own), being humble, and having fun while we do it. We enjoy ourselves, give back, and work (and play) hard together. If this sounds like the place for you, check out the details of this position below.{linebreak}{linebreak}As a Advanced Software Engineer and member of the Conceptual Analytics team you will share responsibility for the design, development, automated tests and delivery of the company’s core analytics technologies.  You must have a passion for solving problems while delivering reliable, highly scalable, highly performant systems that kCura’s customers use on a daily basis.

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Knock

Machine Learning Engineer


Knock


machine learning

engineer

machine learning

engineer

2yr

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{linebreak}We’re seeking a Machine Learning Engineer to join us in building our predictive models and our data science team. You will get to work with some of the most interesting data sets and have the freedom and responsibility to help shape our core products from initial data exploration to production models. You will design and implement the foundation of our predictive models and work closely with other team members to test the accuracy in local markets.{linebreak}{linebreak}As a Machine Learning Engineer you will:{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Design, code, train, test, deploy and iterate on large scale machine learning systems.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Develop model training platform and reusable data infrastructure components to enable rapid prototyping by our data scientists.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Design and build customized learning systems and integrate it with our existing products.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Build predictive services to price residential real-estate.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Assessing the impact of using new data sources on data quality and precision of our price predictions{linebreak}{linebreak}{linebreak}{linebreak}

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Affectiva

Machine Learning Scientist


Affectiva


machine learning

machine learning

2yr

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{linebreak}Affectiva is an MIT Media Lab spin-off focused understanding human emotion. Our vision is that technology needs the ability to sense, adapt and respond to not just commands but also non-verbal signals. We are building artificial emotional intelligence (Emotion AI).{linebreak}{linebreak}As you can imagine, such an ambitious vision takes a great team with a strong desire to explore and innovate. We are growing our team to improve and expand our core technologies and help solve many unique and interesting problems focused around sensing, understanding and adapting to human emotion.{linebreak}{linebreak}Our first technology measures human emotion through sensing and analyzing facial expressions. This technology is already being used commercially in a number of different verticals and use cases, and has been released to the public in the form of SDKs so that developers around the world can begin to use it to create a new breed of apps, websites and experiences.{linebreak}{linebreak}{linebreak}This position is on the Science team, the team tasked with creating and refining Affectiva’s technology. We are a group of individuals with backgrounds in computer vision, machine learning and affective computing.{linebreak}{linebreak}We’re looking for the best researchers to join this team. Great candidates will be people who will contribute ideas and want to help shape the future of this space, and can execute ideas effectively and efficiently.{linebreak}{linebreak}Responsibilities:{linebreak}{linebreak}{linebreak}* Apply supervised and semi-supervised machine learning techniques on a variety of problems using Affectiva’s large dataset of spontaneous real-world face data{linebreak}{linebreak}* Experiment with deep architectures for the sensing and modeling of emotion{linebreak}{linebreak}* Prototype new forms of emotion sensing{linebreak}{linebreak}* Contribute to Affectiva’s core in-market SDK codebase{linebreak}{linebreak}{linebreak}

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Gaggle.net

Machine Learning Engineer


Gaggle.net


machine learning

engineer

machine learning

engineer

2yr

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{linebreak}We protect children and save lives.{linebreak}{linebreak}Our technology analyzes textual data created by students (chat, email, documents, etc) for the purpose of identifying child abuse, bullying, suicide, and other serious concerns that affect today's youth.{linebreak}{linebreak}You will work on a small team to design and implement innovative ways to better solve this problem.{linebreak}{linebreak}We have a number of challenges in both the quantity of data we analyze, and the timeframe in which we must make accurate predictions to better allow our 24hr monitoring staff to make decisions on how best to intervene in serious cases.{linebreak}{linebreak}Put your Machine Learning knowledge to use in a way that can make a real difference in the lives of children.

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Sitezeus

Full Stack Web Developer Big Data Machine Learning


Sitezeus


big data

full stack

dev

web dev

big data

full stack

dev

web dev

2yr

Apply

{linebreak}SiteZeus is a fast-growing startup disrupting the way growing companies select new locations with Predictive Analytics based on big data and machine learning.  We are seeking the best & brightest engineers to join our Product Development team to enhance our award-winning product suite.

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Findify

verified

Frontend Developer For Machine Learning Startup


Findify


machine learning

design

dev

digital nomad

machine learning

design

dev

digital nomad

2yr

Apply

{linebreak}We’re looking for a Mid / Senior Frontend Developer to join our team and help turn dreams into reality. If you’re always on top of the latest technologies, have a keen eye for design and you love creating scalable frontend architectures (yes it’s a thing!) - read along! :){linebreak}{linebreak}Our tech stack: {linebreak}{linebreak}We always strive to use the most suitable tool for the job, so our stack is constantly evolving. We write our frontend code in Typescript using ES6 modules. Our frameworks of choice are: Angular 1.5 (yay for multiple transclusion slots!) and React + a simples flux implementation (stateless components ftw!) . We have several applications that are yet to build so you'll have the opportunity to choose the technology that will best fit each project.{linebreak}{linebreak}We’re not afraid to challenge our choices, we love open source and above all, we’re a product driven company so technology is at the core of everything we do. You can check out our full stack on StackShare.{linebreak}{linebreak}Our development culture:{linebreak}{linebreak}We are a small team that moves fast and iterates. We do weekly sprints, code reviews, testing, and once your code is submitted it gets pushed to production through our continuous deployment infrastructure (using Jenkins). We put a lot of emphasis on code style, cleanliness and robustness. You will get to work with a dedicated UX designer, and amazing engineers specializing in machine learning and distributed systems.{linebreak}{linebreak}What you can expect from us:{linebreak}{linebreak}As an early engineer in a small team, you’ll have the opportunity to make a real impact on the product, company vision and culture. You will get to work with the latest technologies out there, without being bound to any legacy. Have the opportunity to solve real-life problems using machine learning. We will never limit your creativity, never shut down ideas before testing them with customers and we will never be boring! it's going to be an exciting ride!{linebreak}{linebreak}Compensation{linebreak}{linebreak}Your annual compensation will be between 20,000 and 42,000 EUR pre-tax ( about $22,500 - $47,000) plus equity, based on your experience, qualifications and location.{linebreak}{linebreak}If this sounds like a company you’d love be a part of building, and you’ve got the skill set, please get in touch with your CV and work samples at: JoinUs+Frontend@findify.io{linebreak}{linebreak}Also, be sure to give us an idea of what kind of person you are in addition to your skills, because cultural fit is as important to us as your front end development abilities!{linebreak}{linebreak}{linebreak}We’d love to hear from you!

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Github

Software Engineer Machine Learning


Github


dev

machine learning

engineer

digital nomad

dev

machine learning

engineer

digital nomad

3yr

Apply

Full Time: Software Engineer - Machine Learning at GitHub in SF, US, or Remote

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Hyperscience

Machine Learning Engineer


Hyperscience


machine learning

engineer

machine learning

engineer

3yr

Apply

{linebreak}Our mission is to build a general purpose AI platform that lets other developers easily build machine learning applications. We believe AI is destined to be the biggest event in the history of human labor since the industrial revolution. There are already many applications, ranging from self-driving cars to medical software that diagnoses patients, where AI gets the job done faster, better and cheaper. However, HyperScience will make that kind of AI available to everyone.{linebreak}{linebreak}Working at HyperScience, you will advance the state of the art by developing novel machine learning approaches, you will build self-configuring, self-healing, self-tuning distributed systems and you will deliver developer-centric tools you’d love using yourself. Additionally, you’ll see your code matter by working directly with customers.{linebreak}{linebreak}Despite still being in stealth, we have paying customers who are already using HyperScience in production. The team consists exclusively of engineers who have experience working on machine learning and internet-scale apps. We’re backed by top tier investors.

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Sway Ops

VP Machine Learning


Sway Ops


golang

machine learning

golang

machine learning

3yr
New York, United States - Machine learning engineers must adapt quickly and be able to use all avenues available to perform complex tasks. You will be in charge of world class team of data scientists gathered from notable groups around the globe to solve difficult problems in social in...

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ING

verified

Machine Learning Expert


ING


machine learning

machine learning

3yr

Apply

{linebreak}ING is looking for a Data Scientist. Location Amsterdam.{linebreak}{linebreak}{linebreak}Passionate about your field of work: Data Science. Key developments in the Data Science area. Experimenting with new algorithms, packages and tools. Think Forward!{linebreak}{linebreak}{linebreak}Is that you? Please read further:{linebreak}{linebreak}{linebreak}* Your willingness to learn not only shows in the technical area, but also how you develop your interpersonal skills. As a creative and curious Data Scientist, you’re looking forward to solve a wide variety of real-world business problems. From your thorough understanding of the latest algorithms and tooling, you’re able to see where ING can further improve using  Big Data. And you have the programming skills to show the value in a pilot/experiment.{linebreak}{linebreak}* You are experienced in the approach to transform data to added value for customers. You’re always thinking one step ahead, for example in advising about the best way of implementation. You are able to look at things from a different perspective and are entrepreneurial to make original solutions work in real-life.  Next to creative, you are also persistent. If the problem is hard to crack or a technical solution hard to get to work, you keep trying different approaches until it does work.{linebreak}{linebreak}*  You have solid communication skills that enable you to work together with many different parties throughout our organization. Your enthusiasm and passion is contagious, mobilizing people to capture the tremendous value that Data Science brings to customers of ING.{linebreak}{linebreak}*  You like working in cross-functional teams to realize an ambitious goal. Asking for help to the other top Data Scientists in the team, but also helping them out by sharing your knowledge and capabilities with them. When needed, you are able and willing to guide junior Data Scientists and interns in their work.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}We only hire people with exceptional talents and capabilities!{linebreak}{linebreak}{linebreak}As a Data Scientist, you have a deep understanding and experience with:{linebreak}{linebreak}{linebreak}* Machine Learning: Classification, Regression, Clustering, Association Rules, Text Mining. You have an excellent understanding of Random Forests, Neural Networks, Logistic Regression, SVM, KNN, K-Means, LDA, etc.{linebreak}{linebreak}* Programming Languages: Python, R. Scala is a pre{linebreak}{linebreak}* Tools: Spark, Hadoop (ecosystem), MapReduce{linebreak}{linebreak}* Database handling: SQL, Hive. Familiar with Oracle, Netezza, HBase, Cassandra, Graph databases{linebreak}{linebreak}* Visualisation tools: D3.js, Shiny, Angular{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Your background:{linebreak}{linebreak}{linebreak}* MSc or PhD with excellent academic results in the field of Computer Science/Machine Learning and/or Mathematics/Statistics{linebreak}{linebreak}* Experience in the Predictive Analytics work field{linebreak}{linebreak}* Fluent in written and spoken English. Although Dutch is a pre, it is not necessary.{linebreak}{linebreak}* Experience in working in an Agile/Scrum way is a pre{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Competencies and skills:{linebreak}{linebreak}{linebreak}* Analytical and content strength (in DS work field): sees which DS techniques apply to the business problem at hand, able to structure the approach and a good programmer{linebreak}{linebreak}* Willingness to learn: open to feedback, develops on the technical and the interpersonal level{linebreak}{linebreak}* Teamplayer: strikes effective balance between independence and acting in the interest of the team{linebreak}{linebreak}* Perseverance: doesn’t give up when a problem is hard, knows how to deal with set-backs{linebreak}{linebreak}* Strong communication skills: written and spoken English need to be convincing{linebreak}{linebreak}* Entrepreneurial: takes up responsibility and makes it happen{linebreak}{linebreak}* Creative: thinks out of the box{linebreak}{linebreak}* Enthusiasm: has contagious level of enthusiasm to inspire others to act, based on self-example{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}We offer:{linebreak}{linebreak}{linebreak}* Ambition to become the best Data Scientist team (in Banking).{linebreak}{linebreak}* Real Data Scientist colleagues. Data Diva-like behavior is not our cup of tea.{linebreak}{linebreak}* Great salary and other terms{linebreak}{linebreak}* National or Global career possibilities{linebreak}{linebreak}* Start-up spirit{linebreak}{linebreak}* Great mix in research, strategic, operational & enterpreneurial assigments.{linebreak}{linebreak}{linebreak}{linebreak}In need of further information or ready to apply?{linebreak}Can you identify with this profile? Then apply and become a Data Scientist at ING.  Do you have any questions about this position? Please contact Rob van Elburg, Global  IT Recruiter, via +31-6-20210769 or rob.van.elburg@ing.nl

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Buzz

Machine Learning Interviewer


Buzz


machine learning

machine learning

3yr

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{linebreak}Buzz is a disruptive hiring platform that utilizes professional individuals as recruiters to screen, evaluate, and provide top quality candidates for employers in the rapidly growing global HR industry. We are looking for senior individual join our platform to phone screen other Candidates. This is a temporary position, once you perform an interview we will pay you immediately. We require that you have at least two years of working experience in the technology and fluent in communication. {linebreak}{linebreak}Please apply directly at Buzz Apply

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Real Audience AB

Golang Developer with Knowledge Within Machine Learning


Real Audience AB


golang

dev

machine learning

digital nomad

golang

dev

machine learning

digital nomad

3yr
Remote work from Poland, Poland - Real Audience is a Swedish tech startup within the Artificial Intelligence / Big Data field, focusing on collecting and storing specific site data, do calculations on the data and help our customers to take actions based on the computed predictions.Now we ...

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Crowdflower

Full Stack Engineer


Crowdflower


javascript

postgres

scala

ruby

javascript

postgres

scala

ruby

3yr

Apply

{linebreak}About Us:{linebreak}CrowdFlower is changing the way work gets done, and we want you to help us make it happen.{linebreak}Were building a platform that makes it easy for data scientists to enrich their data by distributing work to an on-demand workforce located around the world. In addition to being an integral player in the red hot data science, machine learning and big data fields, we also provide critically needed work and income to millions of micro-tasking workers around the world. Everything our engineers do has real and tangible impact, everyday.{linebreak}We need smart, innovative people to help us build scalable, resilient and responsive systems, working with our exceptional team in San Franciscos Mission District. You can look forward to working with a dynamic, growing company in a casual and fun environment with an opportunity to make an impact at all levels of the business.{linebreak}Learn more about our engineering culture at http://www.crowdflower.com/careers/engineering.{linebreak}The Job:{linebreak}When we say Full Stack Engineer, we're looking for someone that is comfortable building custom UI/UX as well as defining API endpoints for the UI to communicate with. In terms of MVC, the position looks like: 5% M, 75% V, and 20% C. The primary tools you'll employ are Rails and jQuery. You like to work with different technologies and are passionate about constantly learning new things. You take pride in designing elegant, simple solutions to challenging problems, creating quality software components and promoting best practices for agile software development. You will help us ensure we continue to evolve and keep our edge as a world­-class development team. {linebreak}Responsibilities:{linebreak}* Distilling complex requirements into simple interfaces.{linebreak}* Defining the future of CrowdFlower's platform.{linebreak}* Building new products that use the core CrowdFlower platform.{linebreak}* Improve the interface that tens of thousands of CrowdFlower contributors and clients use everyday.{linebreak}* Take pride and ownership in your work and encourage others to do the same{linebreak}* Promote best practices for writing maintainable, well­-tested code{linebreak}{linebreak}{linebreak}Must Haves:{linebreak}* 3+ yrs experience on at least one significant production-level web app in Rails.{linebreak}* Experience in multiple programming languages (we primarily use Ruby and JavaScript).{linebreak}* A solid command of JavaScript. When something breaks, you either know exactly why it broke, or can find out easily.{linebreak}* The ability to design new interfaces - thinking up a creative solution and being able to implement it effectively.{linebreak}{linebreak}{linebreak}Experience with these would be definite assets:{linebreak}* Client-side MVC - React and/or Backbone{linebreak}* Jasmine/TDD experience{linebreak}* An opinion about Web Components/ES6{linebreak}* Git skills and GitHub repos full of cool stuff you've hacked on{linebreak}* A great design aesthetic{linebreak}* PostgreSql, JQuery, Redis{linebreak}* AWS, Jira, Confluence.{linebreak}{linebreak}

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Nodeprime

Golang Software Engineer


Nodeprime


golang

node js

machine learning

engineer

golang

node js

machine learning

engineer

3yr
San Francisco, United States - NodePrime’s next generation of data center infrastructure analysis requires a massive data pipeline extending from the probing millions of devices to processing machine learning algorithms. We’re looking for engineers that will help develop our pivotal com...

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Simply Business

Senior Ruby Python Java Developers


Simply Business


qa

javascript

infosec

cloud

qa

javascript

infosec

cloud

3yr

Apply

{linebreak}If you’re smart, passionate about technology and enjoy solving complex technical challenges then you should apply to join our best-in-class tech team. We believe that people are our most important asset and one worth protecting. As such, we’re known for creating an enviable working culture to keep our employees smiling on a day to day basis. {linebreak}{linebreak}We offer things such as flexible hours, remote working, fortnigtly hackathons and freedom to work on projects of individual interest to name just a few. In fact, our impressive working culture has recently earned us 1st place in the Sunday Times 100 Best Companies to Work for 2015. {linebreak}{linebreak}{linebreak}We have two different positions.{linebreak}{linebreak}{linebreak}1. Senior Developers who would like to lead a team / projects - We envisage the split here being about 70% hands-on coding and 30% leading the team, liaising with product owners on prioritization work, attending iteration planning meetings with stakeholders, delegating tasks to dev team, and making sure we are following Lean / Agile processes correctly.{linebreak}{linebreak}{linebreak}2. Senior Developers who want to be 100% coders (non-lead) - This role will be 100% hands on working with our other Devs to code beautiful products for our customers! {linebreak}{linebreak}{linebreak}{linebreak}Some of our Current Projects: {linebreak}{linebreak}Seedy - Our custom built CMS. A hybrid, markdown based, sinatra driven CMS but with a TDD undercurrent. Content changes are no different to backend refactoring. Templates are written in a custom DSL that enforces our style guide while still supporting iterative changes and automatic deployment. Across the company people (including business teams) are now being tagged in pull requests and even writing code!{linebreak}{linebreak}Aerie - We’re overhauling our data and analytics architecture. Using the latest approaches in event streaming, we are building a brand new data pipeline based on Kinesis and Redshift that will support the analysis of both structured and semi-structured data in near real-time. This will provide rapid and intuitive customer insight to our decision makers, while also providing exciting machine learning capabilities back to our core product offering.{linebreak}{linebreak}AAA - We are enhancing our new world platform. Our current focus is on security with a view to building out ‘infrastructure as code’ using tools such as AWS CloudFormation, AWS OpsWorks, Chef/Puppet and many others. Essentially, we believe a well architected system allows us to avoid unnecessary complexity and can enable individuals to generate great output.{linebreak}{linebreak}Our Tech Stack{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}* Ruby{linebreak}{linebreak}* Rails                                                                                                                            {linebreak}{linebreak}* Scala  {linebreak}{linebreak}* MongoDB{linebreak}{linebreak}* RabbitMQ{linebreak}{linebreak}* Puppet/Boxen{linebreak}{linebreak}* AWS                                                                                                                        {linebreak}{linebreak}* Hadoop / RedShift / Looker /Tableau{linebreak}{linebreak}* Cucumber / RSpec / Jasmine                              {linebreak}{linebreak}* SASS / HAML / HTML5 / CSS3 / JavaScript / CoffeeScript / jQuery{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}This list changes all the time, as being on the lookout for new technology trials and opportunities is part of our code. We don’t believe in limiting ourselves, or the company. If there are other tools that could get the job done better, we’re committed to exploring them.{linebreak}{linebreak}Things we believe in:{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}* TDD / BDD{linebreak}{linebreak}* Continuous Delivery{linebreak}{linebreak}* Pair Programming{linebreak}{linebreak}* Build – Measure - Learn{linebreak}{linebreak}* Active participation to open source{linebreak}{linebreak}* Our business people writing code (we've not seen this anywhere else!)                                {linebreak}{linebreak}* Cross functional teams (Dev / QA/ Data / UX / Product owners all sitting together)            {linebreak}{linebreak}* Release early and learn quickly - we release our software to production around 15 times a day on average!        {linebreak}{linebreak}* Continuous learning - we look to pay for courses and conferences and actively encourage our Devs to get out and about in the community. We have even sent some of our Devs to Miami, Portugal and Barcelona for conferences recently.                                                              {linebreak}{linebreak}* Have fun! We do ruby coding challenges during lunchtimes over pizza, we have desk beers on a friday, we have several social events throughout the year, we do fortnightly hackathons, we have afterwork clubs like: UX, Data science and Robotics club, we have flexible working hours, weekly 'show n tell' sessions, and lot's more!                                                                                                 {linebreak}{linebreak}{linebreak}

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Ecohealth Alliance

verified

Software Developer


Ecohealth Alliance


javascript

python

meteor js

mobile

javascript

python

meteor js

mobile

3yr

Apply

{linebreak}Are you interested in applying your technical skills to identifying the next global infectious disease threat and improving global health? {linebreak}{linebreak}EcoHealth Alliance is seeking software developers for our tech team. As part of a small team of developers, data scientists, and infectious disease scientists, you’ll develop tools to support EcoHealth Alliance’s mission in conservation and global public health. The focus of this position will be to develop global health web platforms that are actively used to monitor global emerging infectious diseases, and that contribute to the analysis of disease emergence.{linebreak}{linebreak}Description and Responsibilities {linebreak}{linebreak}We are looking to build a diverse team with a variety of skill sets and backgrounds. Position duties may include:{linebreak}{linebreak}{linebreak}* Contributing to open source software; mobile app development, building front-end(s) for web frameworks (e.g., Meteor)Data and text mining{linebreak}{linebreak}* Designing scientific visualizations{linebreak}{linebreak}* Geo-tagging and geo-visualization{linebreak}{linebreak}* Network modeling{linebreak}{linebreak}* Contributing to technical project management{linebreak}{linebreak}* Some collaborative proposal development.{linebreak}{linebreak}* Developing natural language processing and machine learning systems{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}We mostly code in CoffeeScript, JavaScript, and Python and use Meteor for web apps and AWS for hosting. We collaborate on GitHub, do code review via pull requests, and use project management tools and communication to keep everything on track.{linebreak}{linebreak}EcoHealth Alliance is an equal opportunity employer offering competitive salary and a comprehensive benefits package that covers 100% of the monthly health care premium costs for the employee and their family when applicable (including dental and vision coverage), a 403(b) pension plan, flexible work schedules, a minimum of 10 days paid vacation annually, paid holidays, work from home days, and a pre-tax transportation withholding for commuters in New York City. EcoHealth Alliance may encourage employees to attend conferences when appropriate, and enroll in courses for the joint purposes of professional development and promoting the EcoHealth Alliance mission.{linebreak}{linebreak}The position is based at EHA headquarters in New York City (Manhattan). Local candidates are preferred, with possible relocation assistance available. Outstanding remote candidates will also be considered, but must be available to work for at least 4 hours between 9am and 6pm Eastern Standard Time to facilitate collaboration with New York based employees. {linebreak}{linebreak}How To Apply{linebreak}{linebreak}To apply, you must send your resume and a personalized cover letter as one document to dev-jobs@ecohealthalliance.org with the subject of 'Software Developer 2015'. Applications without cover letters will not be evaluated. This cover letter will help us assess your ability to communicate effectively and will be used as the primary mechanism to determine whether a candidate is asked to interview for the vacant position.  The cover letter is the most important part of your application. In your cover letter, please briefly describe your background and any experience you may have with web development frameworks, machine learning, natural language processing and public health. Be sure to mention why you are interested in working  on a research-and-development oriented team at a health and conservation focused non-profit.

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Cardjs.io

Image Recognition Guru


Cardjs.io


machine learning

machine learning

Santiago4yr

Apply

We are looking for someone talented who has a strong background with Tesseract and OpenCV but also with OCR in general.{linebreak}Previous Machine Learning experience is a plus. {linebreak}{linebreak}#Salary{linebreak}40000 - 80000{linebreak} {linebreak}{linebreak}#Equity{linebreak}40000 - 80000{linebreak} {linebreak}{linebreak}#Location{linebreak}- Santiago

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Enlitic

Machine Learning


Enlitic


admin

machine learning

admin

machine learning

San Francisco4yr

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As one of Enlitic's first 20 employees, we will be looking for you to contribute all across the company. Therefore, this role is suitable for curious, open-minded, collaborative, outcome-focused people. Because we use machine learning as the foundation of everything we do, you need to be comfortable with the idea of using data to drive decision-making. (You don't, however, have to be a machine learning expert yourself — and you don't need any background in medicine.) We are looking for the kinds of people that love to learn new things, and to design new things.{linebreak}{linebreak}You should expect to spend time talking to medical experts to understand their needs, discussing infrastructure issues with lawyers and system administrators, studying the overall healthcare technology landscape, learning about the capabilities and limitations of machine learning algorithms from your colleagues, proposing creative solutions to complex holistic problems, designing better organizational processes to help us come together to solve these problems, writing down explanations of these solutions for both our internal staff and external partners, and so forth.{linebreak}{linebreak}We expect our data scientists to have an in-depth understanding of at least one key area that is relevant to us — examples include: deep learning, convex optimization, linear algebra, distributed system design, GPU programming, computer vision, healthcare software, large-scale storage systems, and so forth. You also need to have a broad understanding of a range of practical data science skills, such as programming in Python, JavaScript or C++, machine learning using algorithms such as random forest and regularized regression, algorithm design and usage, and software engineering. {linebreak}{linebreak}#Salary{linebreak}110000 - 190000{linebreak} {linebreak}{linebreak}#Equity{linebreak}110000 - 190000{linebreak} {linebreak}{linebreak}#Location{linebreak}- San Francisco

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Redjack

Python Developer


Redjack


c plus plus

python

machine learning

sys admin

c plus plus

python

machine learning

sys admin

4yr

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{linebreak}RedJack is seeking an experienced developer to help cultivate a unique network proxy system that combines machine learning and novel cryptographic concepts to circumvent Internet censorship. The ideal candidate will be expected to contribute to a complex codebase combining Python and C/C++ components, provide input into the overall system architecture, and help design new features for future iterations of the system.

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Redjack

Research Engineer


Redjack


infosec

c plus plus

python

machine learning

infosec

c plus plus

python

machine learning

4yr

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{linebreak}RedJack is seeking an experienced Research Engineer to help cultivate a unique network proxy system that combines machine learning and novel cryptographic concepts to circumvent Internet censorship. The ideal candidate will have networking and network security experience.  Candidates will be expected to contribute to a complex codebase combining Python and C/C++ components, provide input into the overall system architecture, and help design new features for future iterations of the system.

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Ecohealth Alliance

verified

DevOps Engineer


Ecohealth Alliance


devops

dev

mongodb

machine learning

devops

dev

mongodb

machine learning

4yr

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{linebreak}Are you interested in applying your technical skills to identifying the next global infectious disease threat?{linebreak}{linebreak}EcoHealth Alliance is seeking a DevOps engineer with database experience for our data science and research technology program. As part of a small team of developers, data scientists, and infectious disease scientists, you’ll deploy and maintain tools to predict the next pandemic and support research teams in the field. As our first and only DevOps engineer, you will drive the direction of our infrastructure. Our work ranges from data mining and machine learning algorithms to web development, design, and visualization. If you're interested in working on those parts of the stack as well, you'll have that opportunity. We currently use AWS for hosting and Ansible for deployment, and MongoDB.{linebreak}{linebreak}The position is based at EHA headquarters in New York City (Manhattan). Local candidates are preferred, with possible relocation assistance available. Outstanding remote candidates will also be considered.{linebreak}{linebreak}EcoHealth Alliance offers a competitive salary and a comprehensive benefit package including health, dental, and vision coverage, and a 403(b) pension plan. EcoHealth Alliance is an equal opportunity employer.{linebreak}{linebreak}To apply, please email your resume and a PERSONALIZED COVER LETTER as one document to dev-jobs@ecohealthalliance.org with the subject of 'DevOps Engineer 2015'. In your cover letter, please briefly describe your past experience with programming, databases, and DevOps, and any experience with machine learning, natural language processing, and public health. Additionally please indicate how your skills and interests make you a great fit to work on a research-and-development oriented team at a health and conservation focused non-profit.{linebreak}{linebreak}{linebreak}ONLY APPLICANTS WITH PERSONALIZED COVER LETTERS WILL BE CONSIDERED. 

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Sensorhound Innovations

Machine Learning Engineer


Sensorhound Innovations


machine learning

engineer

machine learning

engineer

West Lafayette4yr

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SensorHound Innovations (www.sensorhound.com) is looking for professionals and students (graduate/exceptional undergraduate) interested in developing innovative software for the Internet of Things. SensorHound, a startup company located in the Purdue Research Park, is developing advanced debugging tools for a reliable and secure Internet of Things. We are a small and dedicated team looking for self-motivated individuals interested in working in a startup environment. Candidates should have expertise in machine learning and data mining, experience with applying machine learning algorithms and using tools such as Weka and libsvm.{linebreak} {linebreak}{linebreak}#Salary{linebreak}50000 - 60000{linebreak} {linebreak}{linebreak}#Equity{linebreak}50000 - 60000{linebreak} {linebreak}{linebreak}#Location{linebreak}- West Lafayette

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Nookster

Machine Learning Engineer


Nookster


machine learning

engineer

machine learning

engineer

Pasadena, CA4yr

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As a member of the machine language translation team, you utilize your superior technical aptitude and deep understanding of Machine Learning and Natural Language Processing to create the best Machine Translation solutions for our algorithms. You should be comfortable to also work with a wide array of teams in areas of wellness, healthcare, marketing, business development, psychology, design, user experience and product development.{linebreak}{linebreak}Ability to work fast with teams in an open-table company culture is important.{linebreak}{linebreak}Minimum Requirements:{linebreak}* PhD, M.Sc. in Computer Science, Electrical Engineering or Physics{linebreak}* High proficiency in C++.{linebreak}* Experience with data-driven statistical or machine learning methods.{linebreak}* Enjoys a highly collaborative environment with minimal supervision.{linebreak}{linebreak}Nice to have:{linebreak}* Experience with automatic speech recognition and/or natural language processing systems.{linebreak}* Familiarity with linguistic phonetics.{linebreak}* Knowledge of basic digital signal processing techniques for audio.{linebreak}* Experience with software engineering best practices including unit testing, continuous integration, and source control.{linebreak}* Proficiency in Java/Android, Objective C/iOS, javascript, C#/Unity3D.{linebreak}{linebreak}More info can be found here: http://oben.me/careers/machine-learning-engineer/ {linebreak}{linebreak}#Salary{linebreak}120000 - 200000{linebreak} {linebreak}{linebreak}#Equity{linebreak}120000 - 200000{linebreak} {linebreak}{linebreak}#Location{linebreak}- Pasadena, CA

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Veraxis

Machine Learning


Veraxis


machine learning

engineer

machine learning

engineer

Palo Alto4yr

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Requirements:{linebreak}{linebreak}- You must be an outstanding developer able to deliver projects on time, with an instinct for prioritizing the development of features meeting business objectives.{linebreak}{linebreak}- You should be widely read in the field of machine learning and have practical experience in developing high quality applications.{linebreak}{linebreak}- You are capable of research level work in categorization and pattern recognition with a focus on predictive learning.{linebreak}{linebreak}Advantageous:{linebreak}{linebreak}- You code should be beautiful and elegantly efficient.{linebreak}- You can manage an engineering team and help hire rock outstanding developers.{linebreak}{linebreak}About Us:{linebreak}{linebreak}We think the future of AI is in games that learn about their players, and it's applications in human talent management. We believe games provide an evolutionary equivalence akin to the emergence of spatial movement in natural evolution. {linebreak}{linebreak}Movement led to organisms having complex social interactions, both competitive and collaborative and the eventual emergence of the human brain. {linebreak}{linebreak}#Salary{linebreak}90000 - 130000{linebreak} {linebreak}{linebreak}#Equity{linebreak}90000 - 130000{linebreak} {linebreak}{linebreak}#Location{linebreak}- Palo Alto

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Cogxio

Machine Learning


Cogxio


admin

machine learning

admin

machine learning

Bangalore4yr

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Looking for experienced person who is good in Python/C++/R/Java, Probability and Statistics,Applied Math + Algorithms,Distributed Computing,Expertise in Unix Tools,Hadoop, advanced signal processing techniques, image processing, and Google Map-Reduce etc; {linebreak}Need to work human relationship based algorithm, facial recognition, relationship based wearable technologies. {linebreak}{linebreak}#Salary{linebreak}300000 - 600000{linebreak} {linebreak}{linebreak}#Equity{linebreak}300000 - 600000{linebreak} {linebreak}{linebreak}#Location{linebreak}- Bangalore

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