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Research Square

 

Machine Learning Software Engineer

Machine Learning Software Engineer  


Research Square


dev

machine learning

engineer

digital nomad

dev

machine learning

engineer

digital nomad

3d
\nResearch Square is the leader in ethical author-oriented solutions in the world of academic publishing. We are home to American Journal Experts (AJE), which provides solutions that help researchers communicate their work so they can get back to making discoveries.\n\nWe currently have a challenging opportunity for a bright, hardworking, and self-motivated Machine Learning Engineer. We are looking for an early-career individual who exhibits personal humility and who strives to enable the success of their team in our fun and collaborative remote environment. A successful candidate will be excited to learn and stay abreast of new advancements in the field. \n\nAs a Machine Learning Engineer at Research Square, your efforts will support our engineering and operations teams across a variety of projects involving the creation of new tools and the support and improvement of existing tools. You will be responsible for all parts of model creation from data wrangling to model testing and validation.\n\n\nRequirements for this role include\n\n\n* Uses appropriate ML techniques and big data to create automation solutions for business-critical problems\n\n* Assesses and advocates for automation solutions based on their cost to implement and probability of success\n\n* Considers scalability, user experience, and biases in data when designing solutions\n\n* Experience with natural language processing or a strong desire to learn\n\n* Collaborates with business stakeholders to understand business objectives and develop models to help achieve them, along with metrics to track their effectiveness. \n\n* Works both strategically and tactically to achieve business outcomes\n\n* High level of comfort with Python, SQL, Git, and using the command line.\n\n* Works with complex structured and unstructured data, to include leading the data acquisition process, data cleaning, exploratory analysis, verification, and designing data pipelines. Validates models to ensure adequate real-world performance.\n\n* Bachelor’s degree or equivalent experience\n\n\n\n\nOur ideal candidate also has experience with the following: \n\n\n* One to two years experience in practical machine learning\n\n* Optimizing existing or new ML solutions for performance and scale\n\n* Demonstrated experience with deep learning\n\n* Natural Language Processing and/or Computational linguistics\n\n* Amazon Web Services and/or Google Cloud\n\n\n

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Last 30 days

Previously

Iterative


Software Engineer

verified
🌏Worldwide

Software Engineer


Iterative

🌏Worldwide verified

open source

python

dev tools

dvc

open source

python

dev tools

dvc

🌏Worldwide1mo
We're a well-funded team building open source tools for ML workflow. Our first and core project, [DVC](https://github.com/iterative/dvc), has excellent traction and positive feedback from community. Our mission as a company is to build tools for engineers and data scientists that they love to use.\n\n**Our culture/what we offer:**\n\n- Team is distributed remotely worldwide.\n- Highly competitive salary, stock options, and bonuses.\n- Open source.\n- Founders and team with strong engineering, data science, and open source experience. We all code and understand engineering first-hand.\n- Engineering team is involved into product discussions and planning. We do it openly via [Github](https://github.com/iterative/dvc) or Discord [chat](https://dvc.org/chat).\n- Besides building the product we participate in conferences (PyCon, PyData, O'Reilly AI, etc). We encourage and support the team in giving talks, writing content, etc.\n- Well-defined process that we all participate in improving.\n\n**Join us if you like us love building open source and developer tools!**\n\n# Responsibilities\n - Discuss and research issues, features, new products.\n- Write code (see some [PR examples](https://github.com/iterative/dvc/pulls?q=is%3Apr+is%3Aclosed)).\n- Write docs if needed for your code (see this [repo](github.com/iterative/dvc.org )).\n- Being actively involved with the community - talk to users on Github, Discord, forum. \n\n# Requirements\nStrong Python knowledge and excellent coding culture (standards, unit test, etc) are required. Alternatively, strong skill in other languages along with some knowledge of Python is also acceptable.\n\n**Must have:**\n\n- Motivation and interest\n- Remote work self-discipline\n- Excellent communication skills - clear, constructive, and respectful dialog with other team members, community.\n- Can focus and deliver a task w/o constantly switching to other stuff - respect team's planning, deadlines, etc\n\n**Great to have:**\n\n- Experience working remotely\n- Open source contributions or experience of maintaining, developing an open source project\n- System programming experience - kernel, databases, etc.\n- Machine learning or data science experience \n\n#Salary\n$1\n \n\n#Location\n- 🌏Worldwide

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dploy.ai

 

Golang Engineer


🇪🇺EU-only

Golang Engineer  


dploy.ai

🇪🇺EU-only

machine learning

artificial intelligence

paas

golang

machine learning

artificial intelligence

paas

golang

🇪🇺EU-only1mo
dploy.ai is building an end-to-end platform that brings fast, secure and regulatory compliant AI deployment to our customers' doorstep. \n\nWe are currently looking to grow our time with three Golang engineers with a focus on back-end development. As a Golang developer you will play an important role in building out the foundation of this new platform.\n\nYou\n* are a technical allrounder with a sound knowledge of Golang, cloud services or a strong proven ability to rapidly pick up new languages/frameworks\n* believe in the Twelve-Factor App principles\n* are familiar with the principles of machine learning\n* keep close track of technical developments and know your way around the open source community\n* like to share your technical know-how with colleagues and clients\n* are fluent in English\n* are located in a European timezone\n\nYou get\n* the opportunity to work on a state-of-the-art Golang-based stack\n* the possibility to work from anywhere\n* the satisfaction of working on a technically-challenging (B2B) product\n* a no-nonsense work environment with passionate and smart colleagues\n* a unique opportunity to be an important contributor in a fast-growing, ambitious startup\n\nSounds awesome? Then apply now! If you have any questions in the meantime don’t hesitate to contact Bart via [email protected] or via phone at +32 471 72 31 22.\n\n> dploy.ai is a dataroots brand \n\n#Salary\n$90,000\n \n\n#Location\n- 🇪🇺EU-only

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Wikimedia Foundation


Engineering Manager Machine Learning

Engineering Manager Machine Learning


Wikimedia Foundation


exec

machine learning

engineer

exec

machine learning

engineer

3mo

Stats (beta): 👁 262 views,✍️ 0 applied (0%)
\nSummary\n\nThe Wikimedia Foundation is growing its Machine learning efforts. This an opportunity to be part of the team that builds and maintain machine learning technologies to empower millions of users – readers, contributors, and donors – who contribute to Wikipedia and its sister projects on a daily basis. We address process inefficiencies with machine learning technologies, we design and test new technology, we produce empirical insights, and we publish and present research of the intersection of technology and culture. We are strongly committed to principles of transparency, privacy, and collaboration. We use free and open source technology and we collaborate with external researchers and our volunteer community.\n\nWe are looking for an experienced Engineering Manager to help build features that enable our communities to achieve our Vision: a world in which every single human being can freely share in the sum of all knowledge. As an Engineering Manager, you will support engineers building features, products, and services used by hundreds of millions of people around the world. This is an opportunity to do good while improving one of the best known sites in the world.\n\nWe’d like you to do these things:   \n\n\n* Partner closely with other teams and departments across the Wikimedia Foundation to define and experiment with machine learning products. These could be brand new feature offerings in Wikipedia or augmentation of existing workflows.\n\n* Review and advice in code changes made by team.\n\n* Represent team members within the organization and Wikimedia community.\n\n* Support and coach your team members in the development of their career paths.\n\n* Recruit and hire new team members.\n\n\n\n\nWe’d like you to have these skills: \n\n\n* Multiple years of experience in leading software engineering teams and managing complex projects.\n\n* Practical experience with machine learning, natural language processing or information retrieval in products that have been launched to production.\n\n* Excellent analytical and problem solving skills. Familiarity with statistics.\n\n* Significant experience working with data infrastructure and distributed systems at scale.\n\n* Experience with both scripting and compiled languages in a Linux/Unix server environment, some of: Python, PHP, Java, Javascript, C, Scala\n\n* Excellent verbal and written communication skills\n\n* BS in Computer Science or other relevant technical field or the equivalent in related work experience.\n\n\n\n\nAnd it would be even more awesome if you have this:\n\n\n* Previous experience working on a large, mature, open source project\n\n* Experience working with a geographically distributed software engineering team\n\n* Experience with open source software development\n\n* Contributing to the Wikipedia or Wikimedia project communities\n\n\n\n\nShow us your stuff! If you have any existing open source software that you or teams you have lead have  developed (these could be your own software or patches to other packages), please share the URLs for the source. Links to GitHub,GitLab, BitBucket, Presi, YouTube, Medium, etc. are especially useful.\n\n\n\nU.S. Benefits & Perks*\n\n\n* Fully paid medical, dental and vision coverage for employees and their eligible families (yes, fully paid premiums!)\n\n* The Wellness Program provides reimbursement for mind, body and soul activities such as fitness memberships, baby sitting, continuing education and much more\n\n* The 401(k) retirement plan offers matched contributions at 4% of annual salary\n\n* Flexible and generous time off - vacation, sick and volunteer days, plus 19 paid holidays - including the last week of the year.\n\n* Family friendly! 100% paid new parent leave for seven weeks plus an additional five weeks for pregnancy, flexible options to phase back in after leave, fully equipped lactation room.\n\n* For those emergency moments - long and short term disability, life insurance (2x salary) and an employee assistance program\n\n* Pre-tax savings plans for health care, child care, elder care, public transportation and parking expenses\n\n* Telecommuting and flexible work schedules available\n\n* Appropriate fuel for thinking and coding (aka, a pantry full of treats) and monthly massages to help staff relax\n\n* Great colleagues - diverse staff and contractors speaking dozens of languages from around the world, fantastic intellectual discourse, mission-driven and intensely passionate people\n\n\n\n\n*Eligible international workers' benefits are specific to their location and dependent on their employer of record\n\nMore information\n\nWMF\nBlog\nWikimedia 2030\nWikimedia Medium Term Plan\nDiversity and inclusion information for Wikimedia workers, by the numbers\nWikimania 2019\nAnnual Report - 2017

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Netdata Inc.


Senior Machine Learning Engineer


UTC -3 to UTC +5

Senior Machine Learning Engineer


Netdata Inc.

UTC -3 to UTC +5

machine learning

deep learning

statistical models

senior

machine learning

deep learning

statistical models

senior

UTC -3 to UTC +53mo
Netdata is looking for a Senior Machine Learning Engineer with extensive experience in building ML pipelines and highly-available production-grade services powered by sophisticated deep learning, statistical or other machine learning methodologies and models. Help us build the most advanced anomaly detection, forecasting, incident prevention and alerting system in the world!\n\nAs a Senior Machine Learning Engineer at Netdata, you will be responsible for building anomaly detection, forecasting and incident prevention, classification and identification systems to power both our open source netdata package and our commercial cloud offering. To do this you will need to explore and experiment with both unsupervised anomaly detection on streaming data, as well as supervised anomaly detection using ensembles of deep-learning and statistical approaches.\n\n**Why join Netdata**\n\n* We are a team of industry veterans and senior engineers that prioritize performance and ease of use over anything else.\n* We embrace remote work and great work-life balance.\n* We are solving hard problems that affect thousands of organisations worldwide.\n* We are deeply committed to Open Source and love our community.\n* We deeply care about system performance.\n\n**When you join Netdata, you can expect**\n\n* A competitive salary.\n* A generous stock plan.\n* To join a venture-backed startup working with some of the most sophisticated investors of Silicon Valley.\n* To be part of our world-class team and interact with an amazing community.\n* To see first-hand how to grow and succeed in an engineering-first, open source-based company.\n* To find a culture that rewards doers.\n\n*Netdata is an Equal Opportunity Employer. We are committed to providing an inclusive work environment free of discrimination and harassment for everyone, regardless of race, color, religion, national or ethnic origin, sex, age, sexual orientation, gender identity, disability, sexual orientation, marital status, military service or other non-merit factor.*\n\n# Responsibilities\n * Build ML/statistical models applicable to large-scale monitoring and telemetry applications, including but not limited to detecting anomalies based on streaming data, in batch, whether that data is annotated (supervised) or raw (unsupervised)\n* Build the accompanying algorithms and pipelines capable of training, validating, testing and serving the models you designed\n* Bulid highly-available services to serve the models on production\n* Work with our backend engineers to integrate your models throughout Netdata cloud ecosystem\n* Work with our open source community to integrate your models in the open source Netdata agent\n* Stay up-to-date on emerging technologies. \n\n# Requirements\n**Required experience**\n\n* A Master's degree in Computer Science, Electrical Engineering, Physics, Mathematics or equivalent. (Ph.D or higher degrees are highly preferred)\n* 3+ years of experience with Deep Learning and/or Anomaly Detection in production systems. We expect you to be a competent engineer and comfortable with understanding and implementing high-availability and high-performance systems.\n* Familiarity with Tensorflow and/or PyTorch.\n* Familiarity with Python for the creation of ML models and pipelines.\n* Self motivated, conscientious, with a problem-solving, hands-on mindset.\n* Perfectionist where it matters, but also pragmatic, with effective time management skills.\n* Team player, eager to help.\n* Excellent command of spoken and written English\n\n**Preferred experience**\n\n* Familiarity with distributed systems, modern software architectures and environments, including Orchestrated Containers (e.g. Kubernetes), Microservices etc.\n* Familiarity with Systems Monitoring concepts, tooling and frameworks\n* Experience in building Anomaly Detection systems\n* Open source contributor\n* Agile Development Methodology \n\n#Salary\n$120,000\n \n\n#Location\n- UTC -3 to UTC +5

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Qntfy


Machine Learning Engineer

Machine Learning Engineer


Qntfy


machine learning

engineer

machine learning

engineer

3mo
\nQntfy is looking for a talented and highly motivated ML Engineer to join our team. ML Engineers are responsible for building systems at the crossroads of data science and distributed computing. You will do a little bit of everything: from tuning machine learning models, to profiling distributed applications, to writing highly scalable software. We use technologies like Kubernetes, Docker, Kafka, gRPC, and Spark. You aren’t a DevOps, but an understanding of how the nuts and bolts of these systems fit together is helpful and you aren't a data scientist, but understanding how models work and are applied is just as important. U.S. Citizenship Required Responsibilities\n\n\n* Collaborate with data scientists to get their models deployed into production systems.\n\n* Develop and maintain systems for distributed model training and evaluation.\n\n* Design and implement APIs for model training, inference, and introspection.\n\n* Build tools for testing, benchmarking, and deploying analytics at scale.\n\n* Interface with the technical operations team to understand analytic performance and operational behavior.\n\n* Write and test code for highly available and high volume workloads.\n\n\n\n\nQualifications\n\n\n* BS or Master’s degree in Computer Science, related degree, or equivalent experience.\n\n* 5+ years experience with software engineering, infrastructure design, and/or machine learning.\n\n* Familiarity with Python and machine learning frameworks, paricularly Scikit-learn, Tensorflow, and Pytorch.\n\n* Experience with distributed machine learning using tools like Dask, Tensorflow, Kubeflow, etc.\n\n* Write well-structured, maintainable, idiomatic code with good documentation.\n\n* Strong work-ethic and passion for problem solving.\n\n\n\n\nPreferred Qualifications\n\n\n* Machine learning API development competencies.\n\n* Golang development experience.\n\n* Container orchestration and optimization knowledge.\n\n* Proficiency designing, implementing, and operating large-scale distributed systems.\n\n* Prior experience working in a distributed (fully remote) organization.\n\n\n\n\nQntfy is committed to fostering and supporting a creative and diverse environment. Qntfy is an equal opportunity employer, and as such will consider all qualified applicants for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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phData

 

Machine Learning Engineer

Machine Learning Engineer  


phData


machine learning

engineer

machine learning

engineer

7mo
\nAre you inspired by innovation, hard work and a passion for data?    \n\nIf so, this may be the ideal opportunity to leverage your Software Engineering, Data Engineering or Data Analytics experience to design, develop and innovate big data solutions for a diverse set of clients.  \n\nAt phData, our proven success has skyrocketed the demand for our services, resulting in quality growth and an expanded presence at our company headquarters conveniently located in Downtown Minneapolis (Fueled Collective).\n\nAs the world’s largest pure-play Big Data, Machine Learning and Data Science services firm, our team includes Apache committers, Machine Learning experts and the most knowledgeable Scala development team in the industry. phData has earned the trust of customers by demonstrating our mastery of Big Data and Machine Learning services and our commitment to excellence.\n\nIn addition to a phenomenal growth and learning opportunity, we offer competitive compensation and excellent perks including base salary, annual bonus, extensive training, paid Cloudera certifications - in addition to generous PTO and employee equity.\n\nAs a Machine Learning Engineer, your responsibilities include: \n\n\n\n\n* Convert proof of concepts to production-grade solutions that can scale for hundreds of thousands of users\n\n\n\n* Create and manage machine learning pipelines on a Hadoop cluster to support any kind of model deployment on streaming or batch data.\n\n\n\n* Tackle challenging problems, such as developing web services and ETL pipeline components, to productize and evaluate machine learning models\n\n\n\n* Write production code and collaborate with Solutions Architects and Data Scientists to implement algorithms in production\n\n\n\n* Design, conduct, and analyze experiments to validate proposed ML modeling approaches as well as improvements to existing ML pipelines\n\n\n\n\n\n\nQualifications\n\n\n* Previous experience as a Software Engineer, Data Engineer or Data Scientist (with hands-on engineering experience)\n\n* Solid programming experience in Python, Java, Scala, or other statically typed programming language\n\n* Hands-on experience in one or more big data ecosystem products/languages such as Spark, Impala, Solr, Kudu, etc\n\n* Experience working with Data Science/Machine Learning software and libraries such as h2o, TensorFlow, Keras, scikit-learn, etc.\n\n* Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries\n\n* Excellent communication skills; previous experience working with internal or external customers\n\n* Strong analytical abilities; ability to translate business requirements and use cases into a Hadoop solution, including ingestion of many data sources, ETL processing, data access, and consumption, as well as custom analytics\n\n* 4 year Bachelor's Degree in Computer Science or a related field, or equivalent years of professional working experience.\n\n\n\n\nKeywords: Hive, Apache Spark, Java, Apache Kafka, Big Data, Spark, Solution Architecture, Cloudera, Apache Pig, Hadoop, NoSQL, Cloudera Impala, Scala, Python, Data Engineering, Big Data Analytics, Large Scale Data Analysis, ETL, Linux, Kudu, Pandas, TensorFlow, h2o, R, Keras, PyTorch, scikit-learn, Machine Learning, Machine Learning Engineering, Data Science, PySpark, NLP

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DjangoForce

 

Machine Learning Engineer For Heart Beat Analysis Project

Machine Learning Engineer For Heart Beat Analysis Project  


DjangoForce


machine learning

engineer

machine learning

engineer

7mo
\nThe ML engineer will produce a model based on a custom data set that will analyze and report cardiac anomalies from a unique users heart beat.  We'd eventually like to allow the possibility to diagnose and predict cardiac disease and arrest.\n\nWe  plan to do a proof of concept project first, to ensure we will have a solid understanding of what the effort will be to produce the final product.

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Agile Resources

 

Machine Learning Engineer

Machine Learning Engineer  


Agile Resources


machine learning

engineer

machine learning

engineer

7mo
\nOur client is a software shop in Atlanta which is building an innovative web, mobile and IOT platform for the entertainment industry. They are currently looking for software engineers with experience in Python-based Machine Learning and Artificial Intelligence using frameworks such as TensorFlow, PyTorch or Keras.\n\nThe focus of the Machine Learning (ML) Engineer will be to help create artificial intelligence products. ML Engineer responsibilities include creating machine learning models and retraining systems. Your goal will be to shape and build efficient self-learning applications.\n\nRequirements:\n\n\n* Proven experience as a ML Engineer or similar role\n\n* Understanding of data structures, data modeling and software architecture\n\n* Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)\n\n* Experience in applying machine learning, predictive analytics and classification techniques towards real product and problems\n\n* Ability to write robust code in Python or Java or equivalent modern programming language\n\n* Proficiency in SQL, big data technologies and working with large data sets\n\n\n\n\nPluses:\n\n\n* BS in Computer Science, Mathematics or similar field; Master’s degree is a plus\n\n* Experience designing and building web scale distributed systems\n\n* Deep knowledge of math, probability, statistics and algorithms\n\n\n

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Stripe

 

Machine Learning Engineer, Merchant Intelligence

verified
North America

Machine Learning Engineer, Merchant Intelligence  


Stripe

North America verified

fintech

machine learning

finance

engineer

fintech

machine learning

finance

engineer

North America7mo
*The Merchant Intelligence group is responsible for Stripe’s at-scale understanding of the businesses and people that use us. This is a priority both to protect Stripe and also to optimize our products. We work across the technical stack: from machine learning over our users’ data to integrating into Stripe’s products to building new products for our users. \n*\nStripe builds economic infrastructure for the internet, supporting businesses worldwide ranging from fledgling upstarts to Fortune 500s. These businesses place significant trust in Stripe to accelerate their success. This makes the user-facing teams at Stripe mission critical: these teams provide fast, accurate answers in the context of our users’ businesses across phone, email, and chat.\n\n# Responsibilities\n **You will:**\n* Design machine learning platforms and pipelines for training and running machine learning models that improve the efficiency and accuracy of our support operations. This could involve:\n* Build a predictive model that uses the context of the conversation and user to help us fast track a user to the best channel (phone, chat, or email) and person for help\n* Improve the accuracy of our interactions by building a workflow suggestion model that helps surface the most relevant workflow for any given question, which is especially important as our content grows in size\n* Write simulation code using Scalding to run MapReduce jobs on our Hadoop cluster to help us understand what would happen across different segments if we changed how we action our models\n* Collaborate with our machine learning infrastructure team to build support for new model types into our scoring infrastructure \n\n# Requirements\n**We’re looking for someone who has:**\n* An advanced degree in a quantitative field (e.g. stats, physics, computer science) and some experience in software engineering in a production environment\n* 4+ years industry experience doing software development on a data or machine learning team\n* Knowledge about how to manipulate data to perform analysis, including querying data, defining metrics, or slicing and dicing data to evaluate a hypothesis\n* The ability to thrive in a collaborative environment involving different stakeholders and subject matter experts\n* Pride in working on projects to successful completion involving a wide variety of technologies and systems\n* Comfort working directly with your users \n\n#Location\n- North America

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Thrive Global


Technical Lead Data Engineering Machine Learning

Technical Lead Data Engineering Machine Learning


Thrive Global


exec

machine learning

engineer

exec

machine learning

engineer

8mo
\n Thrive Global is changing the way people live through our behavior change platform and apps used to impact individual and organizational well-being and productivity. The marriage of data and analytics, our best-in-class content and science-backed behavior change IP will help people go from knowing what to do to actually doing it, enabling millions of consumers to begin the Thrive behavior change journey.  As a technical lead on Thrive’s Data Science and Analytics team, you will play a significant role in building Thrive’s platform and products.\n\nWho We Are Looking For\n\n\n* A versatile engineering lead who has significant experience with data at all levels of maturity:  raw telemetry through deployment and maintenance of models in operations \n\n* Is excited about collaborating with others, engineering and non-engineering, both learning & teaching as Thrive grows.\n\n* An innovator looking to push the boundaries of automation, intelligent ETL, AIOps and MlOps to drive high-quality insights and operational efficiency within the team\n\n* Has a proven track record of building and shipping data-centric software products\n\n* Desires a position that is approximately 75% individual technical contributions and 25% mentoring junior engineers or serving as a trusted advisor to engineering leadership\n\n* Is comfortable in a high growth, start-up environment and is willing to wear many hats and come up with creative solutions.\n\n\n\n\nHow You’ll Contribute\n\n\n* Collaborate with the Head of Data Science and Analytics to design an architecture and infrastructure to support data engineering and machine learning at Thrive\n\n* Implement a production-grade data science platform which includes building data pipeline, automation of data quality assessments, and automatic deployment of models into production\n\n* Develop new technology solutions to ensure a seamless transition of machine learning algorithms to production software, to enable the building out of easy to use datasets and to reduce other friction points within the data science life-cycle\n\n* Assist with building a small but skilled interdisciplinary team of data professionals: scientists, analysts, and engineers\n\n* Consider user privacy and security at all times\n\n\n\n\nRequired Skills\n\n\n* Master’s or Ph.D. degree in Computer Science or a related discipline (e.g., Mathematics, Physics)\n\n* 3+ years of technical leadership, team size of 5 or more, in data engineering or machine learning projects\n\n* 8+ years of industry experience with data engineering and machine learning\n\n* Extensive programming experience in Java or Python with applications in data engineering and machine learning.\n\n* Experience with data modeling, large-scale batch, and real-time data processing, ETL design, implementation and maintenance\n\n* Excellent verbal and written communication skills\n\n* Self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real-world problems\n\n\n\n\nRelevant Technology and Tools Experience\nA good cross-section of experience in the following areas is desired:\n\n\n* AI/ML platforms:  TensorFlow, Apache MXnet, Theano, Keras, CNTK, scikit-learn, H2O, Spark MLlib, AWS SageMaker, etc.\n\n* Relational databases: MySQL, Postgres, RedShift, etc.\n\n* Big data technologies:  Spark, HDFS, Hive, Yarn, etc.\n\n* Data ingestion tools: Kafka, NiFi, Storm, Amazon Kinesis, etc.\n\n* Deployment technologies:  Docker, Kubernetes, or OpenStack\n\n* Public Cloud:  Azure, AWS or Google Cloud Platform\n\n\n\n\nOur Mission\nThrive Global’s mission is to end the stress and burnout epidemic by offering companies and individuals sustainable, science-based solutions to enhance well-being, performance, and purpose, and create a healthier relationship with technology. Recent science has shown that the pervasive belief that burnout is the price we must pay for success is a delusion. We know, instead, that when we prioritize our well-being, our decision-making, creativity, and productivity improve dramatically. Thrive Global is committed to accelerating the culture shift that allows people to reclaim their lives and move from merely surviving to thriving.\n\nWhat We Offer\n\n\n* A mission-driven company that’s truly making a difference in the lives of people around the world  \n\n* Ability to develop within the company and shape our growth strategy\n\n* Human-centric culture with a range of wellness perks and benefits\n\n* Competitive compensation package\n\n* Medical, vision and dental coverage + 401k program with company match\n\n* Generous paid time-off programs \n\n\n

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Findify


Senior Scala Machine Learning Engineer

Senior Scala Machine Learning Engineer


Findify


scala

machine learning

senior

engineer

scala

machine learning

senior

engineer

8mo
\nAs part of our engineering team you will be responsible for building our product, an advanced machine learning algorithm within search personalization for e-commerce. As demand for our product continues to increase, we are on a journey to grow the team substantially in 2019. We’d love for you to join us.\n\n\nAbout the role:\n\nAs a Scala Machine Learning engineer you will help us build and maintain our ML platform, which is one of the most advanced that exists today. At Findify, we make extensive use of data-collection, processing and ML algorithms to help our merchants provide better search and recommendations to their customers. You would be responsible for building and improving our ML algorithms to help us achieve this goal.\n\n\nYour responsibilities include:\n\n\n* Implementing new ML algorithms and improving existing ones to fine-tune the search relevancy and recommendation quality we provide our 1500 merchants\n\n* Keeping up-to-date with academic research in the field of AI/ML to make sure our algorithms reflect the latest developments\n\n* Setting up the data processing pipelines to feed these ML algorithms\n\n\n\n\n\nAbout you:\n\nYou are a creative problem-solver with passion for Machine Learning and building scalable architectures.\n\n\nYou are:\n\n\n* Initiative-taking; you are self-motivated, a doer, and can drive projects from start to finish\n\n* A team-player; you are comfortable working with different styles and believe (like us) that together we achieve much more than alone\n\n* Driven; you are used to working hard to achieve a goal you care about and running several projects in parallel\n\n* A great communicator; you are comfortable in communicating in English both written and oral, including leading meetings, selling your ideas and storytelling\n\n\n\n\n\nYou have: \n\n\n* Experience building complete ML solutions: source data collection, feature engineering and model training\n\n* At least 2 years of professional experience with Scala. You are able to work on the full development cycle of an application, from designing a system, to validating by the code the possible assumptions and maintaining/improving an existing system\n\n\n\n\n\n* At least 5 years of general development experience including leading the design and development of back-end systems\n\n* Relevant education in Math, Statistics, Computer Science, or Physics. Msc/PhD a plus\n\n\n\n\n\nWe’d be extra impressed if you also have: \n\n\n* NoSQL: experience with Cassandra/Kafka\n\n* Dev-Ops: experience with AWS, Kubernetes, Docker\n\n* Scala: akka, akka-stream, akka-http, cats\n\n* Experience in working in/with remote teams\n\n* Experience in working in agile/lean methodologies\n\n* A side project or blog that showcases your passion\n\n\n\n\n\nLocation: remote. Flexible within timezone CET +/-2\n\n\nWe believe that the more inclusive we are, the better products we build and the better we are able to serve our customers. Women and other minorities under-represented in tech are strongly encouraged to apply.\n\nABSOLUTELY NO HEAD-HUNTERS OR AGENCIES, PLEASE

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Senseye


Machine Learning Engineer

Machine Learning Engineer


Senseye


golang

machine learning

engineer

golang

machine learning

engineer

9mo
Southampton, United Kingdom - We are seeking an ambitious and versatile Machine Learning Engineer, whose responsibility will be to understand research generated by our researchers and put this into production software. You will work closely with the wider development and R&D teams to bring...

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Avanoo


NLP Machine Learning Engineer

NLP Machine Learning Engineer


Avanoo


machine learning

engineer

machine learning

engineer

10mo
\nFirst, a bit about Avanoo\n\nHave you ever wondered what the most successful people in the world have, that the rest of us don’t? No, it’s not a high IQ. And no, it’s not that they studied more than the rest of us at school. There are a whole host of attributes that these people embody, which are never taught in school. Things like perseverance, passion, laser-like focus, a positive mindset, and the list goes on and on.\n\nAvanoo exists to help employees at Fortune 1,000 companies embody these attributes, through 3-minute-a-day video programs and deep analytics that help us understand what their people need the most and predict what sort of content can drive the most impact.\n\nIf the skills we learn in school are the applications we use to get through life, the attributes we help people embody at Avanoo are like the operating system.\n\nWe're doing quite well\n\nWe just completed our series A round of investment, grew more than 3x over last year, and unlike many companies in Silicon Valley, we're profitable.\n\nWe've proven over and over again that we can help enterprises drive real impact to their bottom line just through the magic concoction we've put together. For example, with one of our clients, they were able to directly connect millions of dollars in new product innovations after 2 years of working with us. \n\nThe bottom line is, we're scaling so fast that our existing dev team can hardly keep up!\n\nWhat you'll be working on\n\nThat’s where YOU come in: Helping us sustain this incredible growth, by building NLP algorithms to help us analyze data from our customers' systems, deeply understand their culture, and deeply intelligent and insightful reporting that enables us to continue to drive performance for their culture.\n\nIf being part of a team that is building the first-ever platform that tracks and optimizes the human operating system, then read on!\n\nSkills & Requirements\n\n\n* 7+ Years software development experience\n\n* Excellent problem-solving skills\n\n* Solid grasp of OOP Principles\n\n* 2+ years experience with natural language processing\n\n\n\n\nSkilled in at least a few of the following natural language processing techniques \n\nRelevant NLP skills include: \n\n\n* Syntactic & Semantic Parsing\n\n* Word embeddings such as Word2Vec\n\n* Machine Translation & Compilers\n\n* Text Classification & Clustering\n\n* Search Indexing & Fuzzy Matching\n\n* Data Analytics & Error Analysis Machine Learning for NLP\n\n\n\n\n\n

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Simon Data


Machine Learning Engineer

Machine Learning Engineer


Simon Data


machine learning

engineer

machine learning

engineer

1yr
\nABOUT US\n\nSimon Data was founded in 2015 by a team of successful serial entrepreneurs. We're a data-first marketing platform startup, and we approach our work seriously; we tackle problems in a scrappy and disruptive fashion, yet we build for scale to support our clients at big data volume.\n\nWe are the first and only enterprise customer data platform with a fully-integrated marketing cloud. Moving beyond the limitations of both categories, Simon’s platform empowers businesses to leverage enterprise-scale big data and machine learning to power customer communications in any channel. Simon’s unique approach allows brands to develop incredible personalization capabilities without needing to build and maintain massive bespoke data infrastructure.\n\nOur culture is rooted in organizational transparency, empowering individuals, and an attitude of getting things done. If you want to be a valuable contributor on a team that cultivates these core values we would love to hear from you.\n\nTHE ROLE\n\nAs a Machine Learning Engineer at Simon, you will be responsible for building and optimizing smart systems that drive revenue—our statistical models are at the core of our product, and will only become more so as we continue to develop and add features. We take an approach to ML that is data-first, and requires principled modeling decisions: we don’t believe in theory-crafting models before we have collected the data that will power them, as well as built out the business process that will continue to generate that data. In the model building process, we prioritize interpretable models whose training and performance yield insights about the underlying process, along with optimizing the selected objective. Finally, we believe that Don Knuth is more right about machine-learning models than anything else when he said premature optimization is the root of all evil. We only fix what needs fixing, but we fix it right.\n\nWHAT YOU’LL DO\n\n\n* Architect and implement the infrastructure used by Simon’s data scientists to analyze and model client data\n\n* Own the productionalization and performance of the statistical models deployed into Simon’s predictive products\n\n* Add new features to Simon’s industry-leading marketing cloud that enable adoption of predictive models\n\n* Coordinate feature launches between cross-functional parts of the business\n\n* Mentor our less senior staff and help them raise the bar technically and professionally\n\n* Collaborate with an engineering team who is passionate about quality, staying ahead of the curve, and teamwork.\n\n\n\n\nQUALIFICATIONS\n\n\n* Minimum of 3-5 years of production-level software engineering experience\n\n* Broad knowledge of machine learning models (and their performance characteristics) for classification and regression tasks\n\n* Experience in at least one statistical coding environment (numpy/pandas, R, etc.)\n\n* Fluency in SQL\n\n* Specific experience designing and building machine-learning models\n\n* Front-end development experience, especially in React/Redux applications is a plus\n\n* Expertise in causal inference, experiment design, reinforcement learning, and related fields is a plus\n\n* Excellent communication of statistical concepts to expert & non-expert audiences\n\n\n\n\nVisa sponsorship for this role is currently not available\n\nDiversity \n\nWe’re proud to be an equal opportunity employer open to all qualified applicants regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, Veteran status, or any other legally protected status.

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Innovation Research Labs


Senior Machine Learning Engineer

Senior Machine Learning Engineer


Innovation Research Labs


machine learning

senior

engineer

machine learning

senior

engineer

1yr

Stats (beta): 👁 547 views,✍️ 0 applied (0%)
\nBackground\n\nWe now live in a world where we must ask hard questions about the technology we provide to corporations and governments, how that technology is used and how to deal with the inherent centralization of power that comes with machine based intelligence. We believe that a redesign of how we collect data, how we use that data and how we govern that data is required in order to make humans central to the solutions technology provides.\n\nWe are building an organization that is more akin to an ecosystem than a corporation, that addresses these problems with human­centric solutions that are open and open source. This new platform recognizes that data is a natural resource and gives each of us full autonomy over our data. We look for strong values driven people that share our vision.\n\nTechnical Area\n\n\n* \n\nNatural language processing techniques and information systems\n\n\n* \n\nObject detection in image/video/audio\n\n\n* \n\nGraph based neural network modeling\n\n\n* \n\nDistributed machine learning and differential privacy\n\n\n* \n\nKnowledge engineering\n\n\n* \n\nBoth prototyping as well as production level implementations\n\n\n\n\nRole\n\n\n\nWe are looking for a full time Senior Machine Learning Engineer to join us, a diverse group of people with strong values. Applying emerging research and development that moves the state­of­the­art as we build our platform. We believe in growing engineers through ownership and leadership opportunities. As such you are responsible for defining your research goals within the context of our larger common goals. We all learn from each other, your mentorship and guidance within the team is key towards reaching their goals by applying your experience in all phases of the design and development process.\n\nYou will operate in a highly participatory democratic organization. We constantly work with many unknowns and you get a sense of purpose from applying your domain knowledge to ambiguous and novel situations. You can operate well in an open source environment and you have a good intuition for good research and how to turn that into successful products.\n\nValues\n\nWe are strongly values driven. We believe that this provides the structure to scale our organization, innovate our technology and attract top talent as we strive to change the world towards a better future. These values apply to how we work and the philosophy of the solutions we create.\n\n\n\n\n\n\n\n\n\nMinimum Qualifications\n\n\n* \n\nMore than five years of professional experience in engineering with a demonstrated track record of technical innovation and leading successful engineering teams\n\n\n* \n\nSoftware engineering experience in at least one of the following domain areas: NLP, Machine Learning, Knowledge engineering, information retrieval or virtual assistants\n\n\n* \n\nStrong communication and collaboration skills\n\n\n\n\n\n\nPreferred Qualifications\n\n\n\n* \n\nAbility to work effectively both independently and within a team\n\n\n* \n\nExperience providing guidance and leadership to technical teams\n\n\n* \n\nStructured and detail­ oriented approach, following rigorous scientific and engineering\n\napproaches.\n\n\n* \n\nValues driven and intrinsically motivated towards our goal of data sovereignty\n\n\n* \n\nComfortable collaborating with geographically dispersed teams\n\n\n* \n\nStrong drive to solve problems that drive change based on engineering excellence\n\n\n* \n\nStay ahead of the technology curve, in tune with relevant research, trends and the\n\ncompetitive landscape\n\n\n\n

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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.\n\nWe 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.\n\nOur 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. \n\n**How you’ll make an impact:**\n* Employ appropriate methods to develop performant machine learning models at scale, owning them from inception to business impact.\n* Plan, engineer, and deploy both batch-processed and real-time data science solutions to increase user engagement with Doximity’s products.\n* Collaborate cross-functionally with data engineers and software engineers to architect and implement infrastructure in support of Doximity’s data science platform.\n* Improve the accuracy, runtime, scalability and reliability of machine intelligence systems\n* Think creatively and outside of the box. The ability to formulate, implement, and test your ideas quickly is crucial.\n\n**What we’re looking for:**\n* 5+ years of industry experience; M.S. in Computer Science or other relevant technical field preferred.\n* 3+ years experience collaborating with data science and data engineering teams to build and productionize machine learning pipelines.\n* Fluent in SQL and Python; experience using Spark (pyspark) and working with both relational and non-relational databases.\n* Demonstrated industry success in building and deploying machine learning pipelines, as well as feature engineering from semi-structured data.\n* Solid understanding of the foundational concepts of machine learning and artificial intelligence.\n* A desire to grow as an engineer through collaboration with a diverse team, code reviews, and learning new languages/technologies.\n* 3+ years of experience using version control, especially Git.\n* Familiarity with Linux and AWS.\n* Deep learning experience preferred.\n* Work experience with REST APIs, deploying microservices, and Docker is a plus.\n\n**About Doximity**\n\nWe’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!\n\n*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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Vorstella


Machine Learning Data Pipeline Engineer

Machine Learning Data Pipeline Engineer


Vorstella


machine learning

engineer

machine learning

engineer

1yr
\nAbout Us\nVorstella 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.\nWho 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.\nWhat youll be working on\nYoull 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.\nOur stack\nOur 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.\n\nBenefits\n\n * Writing code that manages some of the largest distributed systems in the world. We work with customers that have hundreds of thousands of servers.\n * 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.\n * 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.\n * The ability to publish and contribute to multiple popular open source projects.\n \n

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Elastic


Machine Learning Information Engineer

Machine Learning Information Engineer


Elastic


machine learning

engineer

machine learning

engineer

1yr
\nInformation Engineer\n\nAt 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.\n\nMachine Learning at Elastic \n\nMachine 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.\n\nTo 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.\n\nWhat you will be doing\n\nTo 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:\n\n\n* Curate and extend data library - develop, acquire and catalog datasets representative of core customer use cases\n\n* Perform data analysis on complex datasets and clearly describe and communicate findings to peers\n\n* Develop ML job configs for known uses cases\n\n* Develop standardized labeling techniques for datasets in our catalog. For example, known outliers or anomalies (unsupervised), or output labels (supervised).\n\n* Build statistical robustness tests for machine learning models against an ever growing data catalog\n\n* Follow GDPR policies, security and data license requirements where applicable\n\n\n\n\nYour background\n\n\n* Highly numerate with education background in Mathematics, Computer Science, Information/Library science, Physics, Engineering or similar\n\n* Solid industry experience working with data; for example as a data analyst, software-, QA engineer or similar\n\n\n\n\nWhat you will bring\n\n\n* A proven ability to work with large amounts of data (at least 2 years)\n\n* Able to work as part of a distributed team, having strong collaboration and communication skills\n\n* Detail oriented with a librarian-like approach to organization\n\n* Able to analyse real-world datasets and extract insights according to customer use case\n\n* Knowledge, interest and a real passion for topics in big data, machine learning, data mining and statistical analysis\n\n\n\n\nExperience required in some or all of these areas\n\n\n* Software engineering (Python, Java, C++)\n\n* Statistical packages and tools (e.g. R, SAS, Octave, MATLAB etc)\n\n* Visualization technologies\n\n* NoSQL or relational databases\n\n\n\n\nAdditional Information: \n\nWe'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.\n\n\n* Competitive pay based on the work you do here and not your previous salary\n\n* Stock options\n\n* Global minimum of 16 weeks of paid in full parental leave (moms & dads)\n\n* Generous vacation time and one week of volunteer time off\n\n* 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.\n\n\n\n\n#LI-MD1\n\nElastic 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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Synergy Sports Technology


Senior Backend Data Platform Engineer

Senior Backend Data Platform Engineer


Synergy Sports Technology


c#

c sharp

mongodb

nosql

c#

c sharp

mongodb

nosql

1yr

Stats (beta): 👁 1,890 views,✍️ 0 applied (0%)
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.\n\nThis 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.\n\nAs 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:\n* Client Analytic Tools\n* Video Editing and Capture Tools\n* Data Logging Tools\n* Operational Game, Data and Video Pipeline Tools\n* Backend Data and Video Platforms\n\nSynergy’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.\n\n**Information for all Positions:**\n* 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.\n* 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.\n* 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.\n* 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.\n* No travel is required\n\n**Team Objectives:**\n* A candidate joining the Data Platform team can expect to work on the following types of projects:\n* Creating internal and external APIs to support both data and video\n* Building complex data models supporting the business rules of sports\n* Developing algorithms that ingesting and transforming multiple streams of data and collapsing the data into a single event structure\n* Refactoring code to a .NET Core environment\n* Scaling out current systems to support new sports\n* Building build and test automation systems\n* Building complex reporting data structures for analytical systems\n\n**Required Skillsets:**\n* SQL or NoSQL database (MongoDB Preferred)\n* C# (Latest version with a preference to .NET Core)

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Findify


Scala Machine Learning Engineer

Scala Machine Learning Engineer


Findify


scala

machine learning

engineer

scala

machine learning

engineer

1yr
\nWe 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.\n\nOur tech stack:\n\nWe 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.\n\nWe’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.\n\nOur development culture:\n\nWe 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.\n\nWhat you can expect from us:\n\nYou’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!\n\nIf 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!\n\nWe’d love to hear from you!\n\nSkills and requirements\n\nWhat we're looking for:\n\nThe 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.\n\nWe 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.\n\nIt’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.\n\nOh, and you need to want to have fun :)\n\nYour responsibilities:\n\n\n* Improve the search relevancy and recommendation quality for our 1500 merchants, while keeping an eye on recent academic research in this field.\n\n* Implement new ML algorithms and improving old ones to make the Findify search and recommendations quality better.\n\n* Setup the data processing pipelines to feed these ML algorithms\n\n\n\n\nThe basics:\n\n\n* Experience building complete ML solutions: source data collection, feature engineering and model training.\n\n* 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.\n\n* 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.\n\n* Computer Science education. We use a lot of cool algorithms in the Findify backend code, we really care about O(N*logN).\n\n\n\n\nBeyond the basics:\n\n\n* NoSQL: experience with Cassandra/Kafka\n\n* DevOps: experience with AWS, Kubernetes, Docker\n\n* Scala: akka, akka-stream, akka-http, cats\n\n\n

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Seez


Kickass Python Machine Learning Engineer

Kickass Python Machine Learning Engineer


Seez


python

machine learning

engineer

python

machine learning

engineer

1yr
\nBe a part of a growing startup and join us in changing how people buy cars\n\nSeez 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. \n\nYou 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.\n\nWe 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.\n\nOur ideal candiate has the following characteristics\n\n\n* An analytical mind with product-first mentality\n\n* A minimum of 3 years of experience as a machine learning engineer, building machine learning products.\n\n* Extensive machine learning knowledge (regression, classification and recommenders mostly)\n\n* 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).\n\n* You care greatly about code quality.\n\n* You take pride in what you do, but welcome critique\n\n* Prior experience in working with Scrum and, or Agile methodologies.\n\n* Good communication skills and willingness to work in a team.\n\n* Complete proficiency in reading, writing and speaking english\n\n* A lot of good ideas and constantly following the latest trends in your field\n\n\n\n\nTechnology and tools in order of importance:\n\n* Python data stack (numpy, sklearn, pandas, jupyter notebooks,  scipy and matplotlib)\n\n* DBMS knowledge - writing SQL and designing schemas\n\n* Docker (we use it extensively)\n\n* Other general backend related tasks (API, crawling and devops)\n\n\n\nWe 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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Jaumo


Machine Learning Engineer F M

Machine Learning Engineer F M


Jaumo


machine learning

engineer

machine learning

engineer

2yr
\nWe'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.\n\nYou 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.\n\n\n\nYou will:\n\n\n* provide our award-winning apps - used by millions of active users every day - with an intelligent and personalized experience for finding a partner\n\n* solve challenging problems like fraud prevention (online dating scam/fakes, ad fraud), automated moderation, image recognition, optimizing matching algorithms and our recommendation system. \n\n* take ownership of your codebase\n\n* be accountable for all aspects of your work, from research and analysis to testing and deployment\n\n* work agile with a motivated and innovative small team (including us, the two founders)\n\n\n\n\n\n\nSkills & Requirements\n\nAn 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. \n\n\n\nYour qualifications:\n\n\n* at least 3 years of experience in software development, ideally in a high-performance web or mobile environment\n\n* solid experience in at least one of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence\n\n* experience with one or more general purpose programming languages like Python or Java\n\n* you love getting things done you never give up, when it’s getting difficult. It’s a challenge to master every situation.\n\n* you speak and write business-fluent English\n\n\n\n\n\nIf 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

Senior Machine Learning Engineer


Selerity


machine learning

senior

engineer

machine learning

senior

engineer

2yr
\nSenior Machine Learning Engineer\n\nSummary:\n\nSenior 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.\n\nEmployment Type: Contract or Full-time\n\nLocation 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.  \n\n\nJob Description:\n\nWant to change how the world engages with chat, research, social media, news, and data?\n\nSelerity 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!\n\nWe’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.\n\n\nMust-haves:\n\n* 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.\n\n* Rigorous understanding of data science foundations and theory including algorithms, statistics, experimental setup, etc.\n\n* Experience applying NLP and/or machine learning to large-scale datasets, especially text.\n\n* Experience with large-scale analytics and machine learning technologies including TensorFlow/Sonnet, Torch, Caffe, Spark, Hadoop, cuDNN, etc.\n\n* Advanced proficiency working in Java in Linux environments.\n\n* Significant operational experience with deploying, monitoring, and maintaining large-scale A.I. applications in production environments.  Not just research and prototypes.\n\n* Solid track record of making effective design decisions balancing near-term and long-term objectives.\n\n* 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.\n\n* 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.\n\n* Clearly communicate complex technical and product issues to non-technical team members, managers, clients, etc.  \n\n\nNice-to-haves:\n\n* Advanced degree (MS/PhD) in a quantitative field such as Computer Science or Statistics.\n\n* Proficiency in C++, Python, Scala, or other commonly-used languages.\n\n* Experience with analytics visualization libraries.\n\n* Conversant with relational, column, object, and graph database fundamentals and strong practical experience in any of those paradigms.\n\n* Deep understanding of how to build software agents and conversational workflows.\n\n* Knowledge of capital markets concepts, entities, and processes.\n\n\nOur stack:\n\n* Java, C++, Python, JavaScript/ECMAscript + Node, Angular, Electron, Scala, etc.\n\n* A variety of open source and in-house frameworks for natural language processing and machine learning including artificial neural networks / deep learning.\n\n* Hybrid of AWS (EC2, S3, RDS, R53) + dedicated datacenter network, server and GPU/coprocessor infrastructure.\n\n* Cassandra, Aurora plus in-house streaming analytics pipeline (similar to Apache Flink) and indexing/query engine (similar to ElasticSearch).\n\n* In-house messaging frameworks for low-latency (sub-microsecond sensitivity) multicast and global-scale TCP (similarities to protobufs/FixFast/zeromq/itch).\n\n* Ansible, Git, Subversion, PagerDuty, Icinga, Grafana, Observium, LDAP, Jenkins, Maven, Purify, VisualVM, Wireshark, Eclipse, IntelliJ.\n\nThis 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.  \n\n\n\nCompensation:\n\nWe 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.\n\nWe 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.\n\n\n\nInterview Process:\n\nIf you can see yourself at Selerity, send your resume and/or online profile (e.g. LinkedIn) to [email protected]  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.  \n\nThe 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.  \n\nWe 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.\n\n\n\n\n\nRecruiters: Please note that we are not currently accepting referrals from recruiters for this position.

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COMPAREX USA


Senior Machine Learning Engineer

Senior Machine Learning Engineer


COMPAREX USA


machine learning

senior

engineer

machine learning

senior

engineer

2yr
\nDo 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?\n\n\nIf 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. \n\n\nToday we serve our 25K+ clients in 35 countries; providing world-class technical expertise and a commitment to customer service excellence.\n\n\nThis 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.  \n\n\nAbout the Job\n\n\nAs 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.\n\n\nYou 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.\n\n\nYour 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.\n\n\nThe successful candidate owns the roadmap, features, and design of one or more core services. Responsibilities:\n\n\n\n* Design and build scalable machine learning services and data platforms\n\n* Feature engineering to improve model performance on key business metrics\n\n* Owner of key service and business metrics\n\n* Work with multiple teams to understand their goals, challenges, and roadmaps to inform your product roadmap\n\n* Design in a mindset of reducing technical debt and encourages others on the team to do so\n\n* Regularly and measurably improve and is a champion of team process and best practices\n\n* Mentor others in development technologies, tools, and processes\n\n* Work with minimal supervision under tight time constraints and respond to rapidly evolving requirements\n\n\n\n\n\nQUALIFICATIONS\n\n\n\n* 7+ years of software development experience building and operating high traffic web services and platforms 2+ years of practical Machine Learning experience.\n\n* Familiarity with frameworks such as Azure Machine Learning and Cognitive Services\n\n* Caffe Experience with Spark, Hadoop, Pig, MapReduce technologies\n\n* Excellent written and verbal communication skills\n\n* Strong software design and architecture skills with an eye toward avoiding and reducing technical debt\n\n* Demonstrated personal initiative and strong ownership of deliverables\n\n\n\n\n\nCandidate 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.\n\n\nWe 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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When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.

Hays Specialist Recruitment


Machine Learning Engineer

Machine Learning Engineer


Hays Specialist Recruitment


machine learning

engineer

machine learning

engineer

2yr
\n\nMachine Learning Engineer opportunity in Belfast - Diaceutics are a PharamaTech data organisation. \n\n\nYour new company \n 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. \n \n Your new role \n 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. \n \n What you'll need to succeed \n 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. \n \n What you'll get in return \n 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. \n \n What you need to do now\n 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.\n \n 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.\n \n Hays Digital Technology is working exclusively in partnership with Diaceutics to manage the recruitment of this position. \n \n\nHays 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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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.\n\nTo help us continue to grow, we're looking for an experienced software engineer who appreciates well-crafted and unit-tested code and knows how to deploy and monitor services in production. But that's not all. We're looking for someone who welcomes data challenges and tackles these head-on; finding and implementing the best solution through effective research and evaluation. Someone who understands that no single solution is perfect, accepting instead that it'll improve with every optimization iteration. Sounds familiar? Then komoot is the place for you.\n\nWe are looking for an experienced backend engineer to help us solve a range of challenges, including image quality classification, the matching of user-generated content with open data, e-bike battery level predictions and the improvement of our recommendation systems.\n\n**Your key responsibilities**\n\n- Implement new features closely together with our web and mobile developers, designers, copywriters and product managers.\n\n- Develop and tune algorithms to leverage our content recommendation, rankings, content analyses and product smartness.\n\n- Build new and improve existing micro-services, primarily in Java/Kotlin and Python.\n\n- Use the AWS ecosystem to build resilient and high-performing systems.\n\n**Why you will love it**\n\n- You'll work on a global product that inspires millions of users.\n\n- You'll get system access on your first day, as we know you are a smart and responsible engineer.\n\n- You'll take ownership over your projects from day one (from concept to implementation; testing, deployment and monitoring).\n\n- Your challenging tasks will keep improving your skills and keep you up-to-date with the latest technologies.\n\n- We have a wide range of diverse challenges, in particular in the GIS domain.\n\n- We believe good ideas count more than hierarchies.\n\n- You'll work together with enthusiastic engineers, hikers and cyclists.\n\n- 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.\n\n- 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.\n\n**You will be successful in this position if you**\n\n- Are highly self-driven, responsible and keen to learn and improve.\n\n- Know your toolkit: git, ssh, bash, junit, jenkins and docker.\n\n- Have deep experience (4+ years) in developing software running under high load\n\n- Possess professional experience in Java and Python.\n\n- Have demonstrable knowledge of common algorithms within the machine learning and statistics space.\n\n- Have strong analytical skills.\n\n- Love to tune, test, simulate and evaluate solutions to unusual problems.\n\n- Live and breathe DevOps and believe in automated testing, infrastructure as code, continuous deployment, monitoring and open communication.\n\n**Sound like you?**\nThen send us the following:\n\n- Your CV.\n\n- A write-up explaining who you are and why you are interested in working at komoot.\n\n- Examples of your work (e.g. GitHub, PDFs, Slideshare, etc.).\n\n- Something that shows us a little more about what you're interested in, be it your Twitter/Kaggle account or your blog.

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Mycos Technologies


Machine Learning Research Engineer

Machine Learning Research Engineer


Mycos Technologies


machine learning

engineer

machine learning

engineer

2yr
\nWork 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.\n\nSkills & Requirements\n\n\n* A creative approach to problem solving\n\n* An understanding of fundamental statistical and machine learning algorithms\n\n* Solid programming skills in one programming language (Python preferred)\n\n* Some exposure to Keras, Tensorflow or other ML libraries\n\n* A willingness to discuss, collaborate, and disagree, professionally\n\n* A passion for exploration and iteration\n\n\n\n\nWhat will get Our Attention\n\n\n\n* Keras or Github contributions\n\n* Academic credentials in statistics, mathematics, ml, or research-focused computer science\n\n* Coursera \n\n\n

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Invisible Technologies


Own Piece of the Next Amazon - Engineer

Own Piece of the Next Amazon - Engineer


Invisible Technologies


javascript

amazon

node js

machine learning

javascript

amazon

node js

machine learning

2yr
Invisible is a process automation company.\nRead about our company here: [https://inv.tech/summary](https://inv.tech/summary)\nApply for our job here: [https://inv.tech/go](https://inv.tech/go)\nJoin our ~20 person startup, grow your engineering skills, get significant equity, share in profits.\nBy the way, if you're not a fit but you know someone who is, pass this along. We offer cash for any qualified referrals.\n## Requirements:\nDeep operational understanding of JavaScript.\nExperience in different programming paradigms, especially functional programming.\n## Nice to have:\nSpecialty in Security\nSpecialty in Machine Learning\n## Benefits:\nWe work 100% remotely. Our team is distributed all over the world.\nAside from scheduled meetings (which we try to minimize), we don’t care about your work hours.\nWe deeply value personal growth and will help you advance in whatever direction(s) you want.\nWe are a [partnership](https://inv.tech/partners), so you will earn equity and share profits.\nInterested? Fill out this form to say hello: https://inv.tech/go\n# Longer version\n## General traits:\n- Demonstrated personal initiative in the past (leadership roles in extra-curriculars, side projects)\n- High introspection (via meditation practice, journaling, art, travel, or non-required writing)\n- Servant mindset — “How can I take care of this on behalf of others for the benefit of all?”\n- Growth mindset — problems are opportunities, impossibilities are challenges, life is best outside of the comfort zone\n- Lack of ego, a hunger for feedback and improvement\n- Abundance mindset — gratitude for what you have, preference for non zero-sum games\n- Personal philosophy that can be clearly stated and that can be questioned and examined\n- Contrarian’s eye — what are others missing here? What doesn’t make sense? What is overlooked because it’s obvious?\n- Systems level thinking — ability to reason on the micro, macro, and especially meta levels in one system or multiple.\n- Design thinking — How is my framing of the situation affecting the users’ experience? What other ways could I combine these elements with same effect?\n- Detail orientation and precise task habits\n## Bonus if you have:\nPast or future interest in the works of Ed Catmull, Peter Thiel, Kevin Kelly, Ray Dalio, John Keats, Douglas Hofstadter, Joseph Campbell.\nExperience working remotely.\nExperience with startups.\nInterest in mental models and a few favorites of your own.\n## On Experience:\nNo specific kind of experience is required, per se. Experience is neither sufficient nor necessary when trying to predict success.\nExperience may bias people towards ideas that prevent them from operating from first principles.\nExperience may accelerate learning because of our human ability to pattern match.\nWe’re really looking for a mixture of qualities, with emphasis on hunger for growth, humility, and resourcefulness.\nReady to apply? Fill out this form to say hello: https://inv.tech/go

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Visit Invisible Technologies's website

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Knock.com


Senior Machine Learning Engineer

Senior Machine Learning Engineer


Knock.com


machine learning

senior

engineer

machine learning

senior

engineer

2yr
\nWe’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.\n\n\nAs a Senior Machine Learning Engineer you will:\n\n\n* Design and develop models to predict trends in residential real estate transactions\n\n* Develop, train, test, deploy and iterate models on large scale machine learning systems\n\n* Explore new data which can impact the model predictions\n\n* Assess models accuracy and the impact of data quality on the precision of the price predictions\n\n* Apply and integrate model predictions to our new and existing products\n\n* Communicate model outcome to the rest of the team\n\n\n\n\nWe’re looking for teammates who have:\n\n\n* Strong desire to work at a rapidly growing startup and make it a success\n\n* Passion for taking on complex real world datasets, understanding them and building useful applications\n\n* Commitment to rigorous analysis and model validation\n\n* Passion for Deep Learning and Machine Learning\n\n* Thorough knowledge of machine learning frameworks, particularly TensorFlow, good understanding of inner working of the frameworks\n\n* 5+ years full lifecycle software engineering experience including: coding, testing, troubleshooting and deployment using general-purpose languages such as: Python, R, Scala, Go\n\n* 2+ years experience with building production end-to-end machine learning models at scale using distributed platforms such as Hadoop or Spark\n\n* Advanced degree in computer science, statistics, mathematics, or similar fields\n\n\n\n\nWhat we can offer you:\n\n\n* 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.\n\n* You will be working with a passionate, mission-driven team that is disrupting the status quo.\n\n* 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.\n\n\n\n\nWe 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.  \n\nKnock 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.\n\nPlease no recruitment firm or agency inquiries, you will not receive a reply from us.

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Radical Convergence


Machine Learning Engineer

Machine Learning Engineer


Radical Convergence


machine learning

engineer

machine learning

engineer

2yr
\nRadical 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. \n\nQualifications\n\n\n* 3+ years experience in selecting or developing algorithms for performing a variety of machine learning and computer vision tasks with demonstrable experience\n\n* \n\n3+ 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.\n\n\n* \n\n3+ years experience performing model training / algorithm development optimizing for speed, size or accuracy and developing / refining new and existing training sets as required.\n\n\n* \n\n5+ years experience designing, developing, enhancing, debugging and implementing software and algorithms using programming languages such as Java, C++, Python, R, or JavaScript.\n\n\n* \n\nProficiency 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.\n\n\n* \n\nExperience with deep learning frameworks such as Caffe, TensorFlow, or Torch\n\n\n* \n\nProficiency in in Image Processing, Image Analysis, and/or Computer Vision\n\n\n* \n\nAbility to work independently, in a SCRUM-like environment with strong desire to push your ideas into production, overcoming obstacles, in order to deliver impact. \n\n\n\n\n\nCompensation depends on candidate's experience with relevant machine learning qualifications. Onsite preferred though with the right candidate will consider remote. 

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BuzzBird


Machine Learning Data Engineer

Machine Learning Data Engineer


BuzzBird


machine learning

engineer

machine learning

engineer

2yr

Stats (beta): 👁 568 views,✍️ 0 applied (0%)
\n\n* In deiner Rolle wirst du unseren Matching-Algorithmus perfektionieren. \n\n* 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. \n\n* Du solltest in deinem letzten Job schon einmal Machine Learning (am besten in einer Startup Umgebung) implementiert haben. \n\n* Die dazugehörige Infrastruktur kannst du selbst mitgestalten (Data Management, etc.).\n\n* Zugriff auf unser Backend mit bisherigen Booking Transaktionen für Performance-Indikatoren.\n\n* 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. \n\n* Du solltest GIT Branches im Terminal mergen können.\n\n* Du hast schon mal ein Team geleitet oder traust dir zu eines zu leiten.\n\n* 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.\n\n\n

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Revl.com


Senior Machine Learning Engineer

Senior Machine Learning Engineer


Revl.com


machine learning

senior

engineer

machine learning

senior

engineer

2yr
\nRevl is seeking an experienced machine learning engineer to join our team!\n\nOur 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.\n\nBeing 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.\n\nRevl 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.\n\nWe 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.\n\nRequirements:\n\n\n* Strong C++ skills\n\n* A strong, general machine learning background (neural networks, random forest, logistic regression, PCA, etc.)\n\n* Experience prototyping ML models in Python\n\n* Experience interpreting sensor data such as accelerometer, gyro, GPS, etc.\n\n* Strong user experience instincts\n\n* Knowledgeable in Statistics, Math and/or Physics\n\n* Excellent communication skills\n\n* Located in US or Canada\n\n\n\n\nPreferred, but not necessary:\n\n\n* Working knowledge of modern computer vision models (InceptionV3, etc)\n\n* Created at least one large scale ML powered system end-to-end\n\n* Experience writing cross-platform (iOS, Android, and server) C++ code\n\n* Experience creating models from sensor data\n\n* Computer vision expert\n\n* Extensive video editing experience\n\n* Experience implementing models on mobile\n\n* Open source contributions (please provide links)\n\n* iOS and/or Android development experience\n\n\n

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Stardog Union


Senior Machine Learning Software Engineer

Senior Machine Learning Software Engineer


Stardog Union


dev

machine learning

senior

engineer

dev

machine learning

senior

engineer

2yr

Stats (beta): 👁 549 views,✍️ 0 applied (0%)
\nStardog 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.\n\nWe'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.\n\n\nIf 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!\n\nResponsibilities\n\n\n* Research and develop algorithms to analyze large scale (un)structured data\n\n* Design and develop high-performance, data-driven components for our distributed database\n\n* Implement complex data ingestion pipelines\n\n* Deploy and operationalize machine learning models\n\n\n\n\n\nRequirements:\n\n\n* 5+ years programming experience, ideally in Java\n\n* Strong computer science fundamentals, with advanced knowledge of data structures, algorithms, and software design\n\n* Experience on applying machine learning and natural language processing techniques to real world datasets\n\n* Interest in recent scientific developments, with an eye for practical applications\n\n* Knowledge of Vowpal Wabbit, Theano/Keras, GATE/UIMA, Lucene/ElasticSearch, and similar frameworks\n\n\n

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AgFlow


Software Engineer Machine Learning Specialist

Software Engineer Machine Learning Specialist


AgFlow


dev

machine learning

engineer

digital nomad

dev

machine learning

engineer

digital nomad

2yr
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

Machine Learning Software Engineer


TAINA Technology Limited


dev

machine learning

engineer

digital nomad

dev

machine learning

engineer

digital nomad

3yr

Stats (beta): 👁 552 views,✍️ 0 applied (0%)
\nExperienced software developer to further strengthen our handwriting recognition team

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Knock


Senior Machine Learning Engineer

Senior Machine Learning Engineer


Knock


machine learning

senior

engineer

machine learning

senior

engineer

3yr

Stats (beta): 👁 582 views,✍️ 0 applied (0%)
\nWe’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.\n\nAs a Senior Machine Learning Engineer you will:\n\n\n* \n\nDesign, code, train, test, deploy and iterate on large scale machine learning systems.\n\n\n* \n\nDevelop model training platform and reusable data infrastructure components to enable rapid prototyping by our data scientists.\n\n\n* \n\nDesign and build customized learning systems and integrate it with our existing products.\n\n\n* \n\nBuild predictive services to price residential real-estate.\n\n\n* \n\nAssessing the impact of using new data sources on data quality and precision of our price predictions\n\n\n\n

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When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.

Elastic


Research Engineer Machine Learning For Elastic

Research Engineer Machine Learning For Elastic


Elastic


machine learning

engineer

machine learning

engineer

3yr

Stats (beta): 👁 685 views,✍️ 0 applied (0%)
\nMachine Learning at Elastic\n\nWith 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. \n\nYour role:\n\nAs 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.  \n\nOur 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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Knock


Machine Learning Engineer

Machine Learning Engineer


Knock


machine learning

engineer

machine learning

engineer

3yr

Stats (beta): 👁 631 views,✍️ 0 applied (0%)
\nWe’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.\n\nAs a Machine Learning Engineer you will:\n\n\n* \n\nDesign, code, train, test, deploy and iterate on large scale machine learning systems.\n\n\n* \n\nDevelop model training platform and reusable data infrastructure components to enable rapid prototyping by our data scientists.\n\n\n* \n\nDesign and build customized learning systems and integrate it with our existing products.\n\n\n* \n\nBuild predictive services to price residential real-estate.\n\n\n* \n\nAssessing the impact of using new data sources on data quality and precision of our price predictions\n\n\n\n

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Gaggle.Net


Machine Learning Engineer

Machine Learning Engineer


Gaggle.Net


machine learning

engineer

machine learning

engineer

3yr

Stats (beta): 👁 791 views,✍️ 0 applied (0%)
\nWe protect children and save lives.\n\nOur 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.\n\nYou will work on a small team to design and implement innovative ways to better solve this problem.\n\nWe 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.\n\nPut your Machine Learning knowledge to use in a way that can make a real difference in the lives of children.

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GitHub


Software Engineer Machine Learning

Software Engineer Machine Learning


GitHub


dev

machine learning

engineer

digital nomad

dev

machine learning

engineer

digital nomad

4yr
Full Time: Software Engineer - Machine Learning at GitHub in SF, US, or Remote

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HyperScience


Machine Learning Engineer

Machine Learning Engineer


HyperScience


machine learning

engineer

machine learning

engineer

4yr
\nOur 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.\n\nWorking 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.\n\nDespite 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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CrowdFlower


Full Stack Engineer

Full Stack Engineer


CrowdFlower


javascript

postgres

scala

ruby

javascript

postgres

scala

ruby

4yr
\nAbout Us:\nCrowdFlower is changing the way work gets done, and we want you to help us make it happen.\nWere 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.\nWe 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.\nLearn more about our engineering culture at http://www.crowdflower.com/careers/engineering.\nThe Job:\nWhen 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. \nResponsibilities:\n* Distilling complex requirements into simple interfaces.\n* Defining the future of CrowdFlower's platform.\n* Building new products that use the core CrowdFlower platform.\n* Improve the interface that tens of thousands of CrowdFlower contributors and clients use everyday.\n* Take pride and ownership in your work and encourage others to do the same\n* Promote best practices for writing maintainable, well­-tested code\n\n\nMust Haves:\n* 3+ yrs experience on at least one significant production-level web app in Rails.\n* Experience in multiple programming languages (we primarily use Ruby and JavaScript).\n* A solid command of JavaScript. When something breaks, you either know exactly why it broke, or can find out easily.\n* The ability to design new interfaces - thinking up a creative solution and being able to implement it effectively.\n\n\nExperience with these would be definite assets:\n* Client-side MVC - React and/or Backbone\n* Jasmine/TDD experience\n* An opinion about Web Components/ES6\n* Git skills and GitHub repos full of cool stuff you've hacked on\n* A great design aesthetic\n* PostgreSql, JQuery, Redis\n* AWS, Jira, Confluence.\n\n

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NodePrime


Golang Software Engineer

Golang Software Engineer


NodePrime


golang

node js

machine learning

engineer

golang

node js

machine learning

engineer

4yr
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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RedJack


Research Engineer

Research Engineer


RedJack


infosec

c plus plus

python

machine learning

infosec

c plus plus

python

machine learning

5yr
\nRedJack 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


Devops Engineer

verified

Devops Engineer


EcoHealth Alliance

verified

devops

dev

mongodb

machine learning

devops

dev

mongodb

machine learning

5yr

Stats (beta): 👁 1,597 views,✍️ 0 applied (0%)
\nAre you interested in applying your technical skills to identifying the next global infectious disease threat?\n\nEcoHealth 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.\n\nThe 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.\n\nEcoHealth 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.\n\nTo apply, please email your resume and a PERSONALIZED COVER LETTER as one document to [email protected] 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.\n\n\nONLY APPLICANTS WITH PERSONALIZED COVER LETTERS WILL BE CONSIDERED. 

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SensorHound Innovations


Machine Learning Engineer


West Lafayette

Machine Learning Engineer


SensorHound Innovations

West Lafayette

machine learning

engineer

machine learning

engineer

West Lafayette5yr

Stats (beta): 👁 1,041 views,✍️ 0 applied (0%)
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.\n \n\n#Salary\n50000 - 60000\n \n\n#Equity\n1.0 - 3.0\n \n\n#Location\n- West Lafayette

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Nookster


Machine Learning Engineer


Pasadena, CA

Machine Learning Engineer


Nookster

Pasadena, CA

machine learning

engineer

machine learning

engineer

Pasadena, CA5yr

Stats (beta): 👁 1,094 views,✍️ 0 applied (0%)
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.\n\nAbility to work fast with teams in an open-table company culture is important.\n\nMinimum Requirements:\n* PhD, M.Sc. in Computer Science, Electrical Engineering or Physics\n* High proficiency in C++.\n* Experience with data-driven statistical or machine learning methods.\n* Enjoys a highly collaborative environment with minimal supervision.\n\nNice to have:\n* Experience with automatic speech recognition and/or natural language processing systems.\n* Familiarity with linguistic phonetics.\n* Knowledge of basic digital signal processing techniques for audio.\n* Experience with software engineering best practices including unit testing, continuous integration, and source control.\n* Proficiency in Java/Android, Objective C/iOS, javascript, C#/Unity3D.\n\nMore info can be found here: http://oben.me/careers/machine-learning-engineer/ \n\n#Salary\n120000 - 200000\n \n\n#Equity\n0.1 - 0.2\n \n\n#Location\n- Pasadena, CA

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VerAxis


Machine Learning


Palo Alto

Machine Learning


VerAxis

Palo Alto

machine learning

engineer

machine learning

engineer

Palo Alto5yr

Stats (beta): 👁 1,385 views,✍️ 0 applied (0%)
Requirements:\n\n- You must be an outstanding developer able to deliver projects on time, with an instinct for prioritizing the development of features meeting business objectives.\n\n- You should be widely read in the field of machine learning and have practical experience in developing high quality applications.\n\n- You are capable of research level work in categorization and pattern recognition with a focus on predictive learning.\n\nAdvantageous:\n\n- You code should be beautiful and elegantly efficient.\n- You can manage an engineering team and help hire rock outstanding developers.\n\nAbout Us:\n\nWe 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. \n\nMovement led to organisms having complex social interactions, both competitive and collaborative and the eventual emergence of the human brain. \n\n#Salary\n90000 - 130000\n \n\n#Equity\n0.5 - 1.0\n \n\n#Location\n- Palo Alto

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