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Tesla Research Engineer Foundation Models Self United States, California, Palo Alto 930538938
23.06.2024
What You’ll DoWhat You’ll Bring
- 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.
- 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
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