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This role requires strong experience in leading research and development in digital health, especially applying AI, Machine Learning, and Generative AI / LLM to develop novel health products that leverage wearables, smartphones, apps, and health data.
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Strong background and knowledge working with a wide range of UI Design, Visual Design, UX Research in a highly technical environment or complex product suite, demonstrated through a comprehensive portfolio of successful consumer products.
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Taking an Intelligent Cancer Care approach, we are harnessing advanced technologies like artificial intelligence, machine learning, and data analytics to advance cancer treatment and expand access to care to help patients become survivors.
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The Data Scientist will conduct artificial intelligence and machine learning (AI/ML) research and development for a portfolio of NASA applications with focus on aeronautics projects such as Air Traffic Management, Aviation Safety, Sustainable Aviation, and/or Advanced Air Mobility.
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Experience defining and delivering technical product marketing deliverables. Technical Content Creation: Create technical marketing content like demos, videos, presentations, blogs, webinars, and whitepapers, focusing on integrating AI in gaming.
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Understanding of machine learning fundamentals and experience with popular ML frameworks such as JAX, PyTorch, or TensorFlow. These efforts have resulted in making machine learning more accessible to teams at Waymo, including Perception, Behavior Prediction, Planner, Routing, Maps and Research, ensuring greater degrees of consistency and repeatability, and addressing the "last mile" of getting models into production and managing them once they are in place.
$192,000 - $243,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Technical and/or legal background in software, artificial intelligence/machine learning, email security and/or cloud security. The Counsel/Senior Counsel, IP will report to the Director of IP, and will work with cross-functional teams, technical staff and outside counsel to build a sound intellectual property portfolio.
$117,600 - $231,220 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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BSc above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience. MS, or above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience.
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You will have the opportunity to - build enterprise products that solve real world problems by leveraging our machine learning platform, build the foundational frameworks and services which abstract away the product needs and provide scalable and reliable building blocks, build the enterprise data platform for various product needs.
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We're looking for our team's first Technical Artist, who has a wealth of Unreal Engine and artistic experience. (Full Time) Unreal Engine Technical Artist at DreamWorld (United States) | BEAMSTART Jobs.
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The applicant should hold a PhD in biomedical informatics or related fields with strong technical skills in machine learning and motivation to solve biomedical problems. The project involves the development and application of machine learning and deep learning approaches for spatial transcriptomics, spatial proteomics, and their integration with H&E histopathology data.
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Expertise in developing or applying predictive analytics, statistical modeling, data mining, or machine learning algorithms, especially at scale. You have prior experience as a machine learning modeler/scientist/engineer and are familiar with the workflow and motivations of machine learning modelers and engineers.
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You will be responsible for developing, validating, and implementing cutting-edge machine learning algorithms, including use of Large Language Models (LLM) applied to diverse healthcare data sources, e.g. electronic medical records and to generate medical reports.
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As a senior machine learning engineer at Health at Scale, you will work with an exceptional team of engineers, scientists, and clinicians to design, engineer, test, deploy and maintain machine intelligence platforms and applications for real-world production use.
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The role involves leveraging methods from multiple disciplines including computational genetics, statistical inference, and machine learning. The Computational Genetics team is seeking a full-time Computational Biologist who will guide strategic initiatives and directly contribute to identifying and extracting biological insights from high dimensional multi-omics data.
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machine technical jobs Title: data engineer Company: Amazon in Stanford, CA
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Recruitment strategies that are weird, but actually work
In the current candidate-driven job market, recruiters are looking for unique ways to attract talent. Some have resorted to even (dare we say it?) recruitment strategies on the border of weird and wacky. What can we learn from the unusual recruitment tactics that are being used and actually getting results? Here’s a rundown of some unique recruitment strategies that actually work.