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Our mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. Spun out of Stanford in 2019, we have built an intelligent analytics platform fueled by our revolutionary device which uses machine perception and sensor fusion to provide an operations digital twin that combines factory operator activity with machine data for the first time.
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Knowledge of machine learning and AI methods and proficiency with scripting and executing data analytics algorithms and models with hands-on experience using a modeling and simulation software (e.g. Python, MATLAB, R, NONMEM, SAS, S-Plus, etc) is a must.
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Build state of the art machine learning models which leverage deep neural networks, biomedical signal processing algorithms, etc. Eko is elevating the way clinicians detect and monitor cardiac and respiratory disease by bringing together advanced sensors, patient and provider software, and AI-powered analysis.
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Boston, MA, Brooklyn, NY, San Francisco, CA, Washington, D.C., Remote, London, England 11-10-2023 HealthTech Azure Elasticsearch Docker AWS Python Machine Learning. 10+ years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions.
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As an applied scientist on Twitch's Community team, you will use machine learning to develop data products tackling problems such as harassment, spam, and illegal content. - Build machine learning products to protect Twitch and its users from abusive behavior such as harassment, spam, and violent or illegal content.
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This person will employ machine learning techniques to develop and test models of neural representations of disease symptom states; contribution to regulatory submissions to IRB and FDA; communication with collaborators (industrial and nonindustrial); assist with patient recruitment, communication, and management throughout the trial; contribute materials to grant submissions; prepare conference presentations and academic publications.
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Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community.
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We're on the lookout for a candidate who blends robust software engineering expertise with a solid grounding in natural language processing (NLP), adept at bringing machine learning models from concept to production.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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Machine Learning Engineer, NeRF. The ideal candidate will have a strong background in computer vision, machine learning, and deep learning, as well as experience working with neural radiance fields.
$125,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.
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At Tecton, we solve the complex data problem in production machine learning. Degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience, with strong proficiency in building high throughput infrastructure.
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Plugins and libraries; Utilizing Software version control tool Git or Mercurial; Upgrading legacy software stacks; Maintaining and debugging software services; and Creating test cases and test plans and providing peer-review and feedback of programmed codes.
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AgVerdict software platform combines soil fertility data, satellite imagery, real-time weather, and sensor data, machine data, geospatial data, scouting data, and data from many more sources to help farmers make the right decisions from planting to harvest to maximize yield.
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Our work combines genomics, proteomics and state-of-the-art imaging technologies with software engineering, machine learning and data science. We are seeking a multi-disciplinary Bioinformatics Data Scientist (Systems Biology) to perform integrated analysis with multi-omic datasets to derive insights about cellular biology, pioneer novel methods for multi-modal data analysis (e.g. network analysis, machine learning), and create web-based tools to enable data exploration by collaborators.
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machine learning software jobs Company: Facebook in San Francisco, CA
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