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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch) Primary Location.
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MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation.
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The ADAS team develops and delivers software for advanced features that make use of machine learning and artificial intelligence in support of features such as Blue Cruise, Pro Trailer Backup Assist, and Pro Trailer Hitch Assist.
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NPM is looking for an experienced Associate Director, AI Data Scientist / Machine Learning Engineer to join our dynamic team and drive innovation to extract, synthesize, and analyze information from unstructured clinical notes.
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Currently has, or is in the process of obtaining, a PhD degree or completing a postdoctoral assignment in the field of Machine Learning, Artificial Intelligence, Computer Vision, Natural Language Processing or similar.
$105,000 - $163,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This role will contribute to the development and application of Arc's frontier DNA foundation model (Evo), Arc's Virtual Cell Initiative focusing on developing cell biological models capable of predicting the impact of perturbations and stimuli, and other projects in the context of Institute-wide machine learning efforts.
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Expert in the applications of Artificial Intelligence or Autonomous Systems technologies (e.g., Reinforcement Learning, Deep Learning, Machine Learning) to sensing, perception, multi-unit planning or command and control of autonomous systems.
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Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks and familiarity with Natural Language Processing (LLM, Entity Recognition, Entity Resolution, Classification), Graph-based Models, and Computer Vision.
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Strong academic or industry background with a degree (BS, MS, or PhD) in deep learning, machine learning, or data analytics infrastructure, a strong software development background, and proficiency in Python and C.
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Conduct research to conceptualize, design, and/or implement innovative solutions for autonomous driving including but not limited to applications of artificial intelligence, machine learning, optimization, and probabilistic robotics.
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Design and build Machine Learning for capacity planning, demand forecasting, software performance analysis, and software system tuning. Develop Machine Learning models in the areas of Networking, Application, and Data. Design, write, and build software tools to improve the reliability, latency, availability, and scalability of Walmart eCommerce products.
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Experience with standard machine learning frameworks and tools (NumPy, Scikit-learn, Pandas, Pytorch, TensorFlow, etc.) and machine learning cloud infrastructure and accelerators (AWS, Google Cloud, GPUs and TPUs.
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6+ years of experience with software development in one or more programming languages, machine learning algorithms and tools (e.g., PyTorch), artificial intelligence, deep learning and/or natural language processing.
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PhD in Computer Sciences, Electrical Engineering, or Mathematics with specialization in machine learning, deep learning, or natural language processing. Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field.
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Experience in perception for ADAS / AD: optimization, sensor calibration, machine learning, deep learning, computer vision. Interact with the software and application team to scope out detailed project.
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machine learning software jobs Company: Facebook in Stanford, CA
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