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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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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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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): πŸ‘ 539 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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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): πŸ‘ 1,872 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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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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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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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): πŸ‘ 548 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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Knock


Senior Machine Learning Engineer

Senior Machine Learning Engineer


Knock


machine learning

senior

engineer

machine learning

senior

engineer

3yr

Stats (beta): πŸ‘ 580 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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