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Tesla Research Engineer Foundation Models Self 
United States, California, Palo Alto 
930538938

23.06.2024
What You’ll Do
  • Lead applied research to advance foundation models for both autonomous driving and humanoid robots
  • Work across the machine learning stack – curating a massive stream of data, designing and implementing new neural network architectures, training models, evaluating model performance.
  • Work with a talented team on cutting-edge techniques in large multimodal models, multi-task learning, video networks, generative models, imitation learning, semi-supervised learning, and self-supervised learning.
  • Have an outsized impact deploying foundation models to millions of Tesla’s robotic platforms across the world.
What You’ll Bring
  • Proven track record of innovations and executions in deep learning, demonstrated with shipping products or first-author publications at leading AI conferences
  • Strong software engineering skills: much of modern deep learning success comes down to the quality of the implementation and strong engineering ability is non-negotiable.
  • Demonstrated excellence and a proven track record of solving difficult software engineering problems
  • An “under the hood” knowledge of deep learning: layer details, loss functions, optimization, etc.
  • Experience with PyTorch, or another major deep learning framework
  • Experience working with large datasets