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Responsibilities Play a critical role in setting the direction and goals for one of our ML teams in terms of project impact, ML system design and ML excellence Be a go-to person for the most complex production performance and evaluation issues requiring an in-depth knowledge of how the machine learning system interacts with systems around it Lead and review technical designs for projects within your team, actively contributing to team-level strategies setting clear, achievable engineering goals.
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Lead research topics through multiple phases related to automotive machine learning solutions: experimentation and validation, proof of concept, tuning and constraint adjustment. 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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We are looking for experience in mechatronics (mechanical-electrical-software machine/fixture design), electromechanical fixture design, and motion control and NX. This experience is most important.
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Of requirements 1 Job Title Java full stack with AWS Technical Architect Relevant Experience. 8+ years of Full Stack development experience. Brief write up on showing case your tech lead capabilities in your previous projects handled by you.
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Experienced with traditional as well as modern machine learning/statistical techniques, including A/B testing, Causal Inference, Regression, Classification, Ensemble Methods, Deep Learning, Natural Language Processing/LLM, and Reinforcement Learning.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Master's degree in Electrical Engineering, Computer Engineering, or related fields with courses work in Digital Signal Processing, Image Processing, Computer Vision, Data Structures, Pattern Recognition, Machine Learning.
$126,984 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Prototypes and do proof of concepts (PoC) in one or all the following areas: · LLM, NLP, DL (Deep Learning), Client (Machine Learning), object detection/classification, tracking, etc.
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Full stack experience with Ruby on Rails and React. Solid theoretical background in machine learning or data mining and strong conceptual, problem solving, and analytical skills.
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We offer a unique and immersive online learning platform, powering corporate technical training in fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, Cloud Computing and more.
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We are an innovative health technology startup that integrates wearable technology, biomedical testing, and machine learning to provide proactive and personalized health solutions. Experience with AI and machine learning frameworks (TensorFlow, PyTorch) and their integration into software platforms.
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Join a world-class team of silicon and distributed systems experts at Enfabrica as a Package Design Engineering Lead. You have the opportunity to be part of building a groundbreaking new category of products that revolutionize the performance and scalability of next-generation AI and accelerated computing systems, and to help solve key infrastructure challenges facing our customers.
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Challenges you will own Technical leadership of at least one company wide programDeveloping and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.
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Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, programming systems, and machine learning. Good understanding of Machine Learning and Deep Learning technologies.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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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 15 days ago - UpvoteDownvoteShare Job
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Extensive experience with scientific libraries in Python (numba, pandas) and machine learning tools and frameworks (scikit-learn, tensorflow, torch, etc. Strong foundation in Machine Learning (ML), Deep Learning, LLMs and NLP.
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machine learning technical lead full stack jobs in Mountain View, CA
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