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Tesla Research Engineer Reinforcement Learning & Imitation Self United States, California, Palo Alto 971457947
23.06.2024
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What You’ll DoWhat You’ll Bring
- Leverage millions of miles of driving data and interventions to build a robust and scalable end-to-end learning based self-driving system
- Research on cutting-edge techniques in multi-modal generative models, reward models and reinforcement learning to improve the planning and reasoning capabilities of our driving models
- Experiment with data generation and network driven data collection approaches to enhance the diversity and quality of training data
- Ship production quality, safety-critical software to the entirety of Tesla’s vehicle fleet
- Strong experience with Python and software engineering best practices
- Experience with Pytorch or another major deep learning framework
- An “under the hood” knowledge of deep learning: layer details, loss functions, optimization, etc.
- Proven expertise in deploying production ML models for self-driving, computer vision, or natural language processing at scale
- Experience with imitation learning, reinforcement learning (offline/off-policy), modern neural network architectures (e.g., GPT, diffusion), or related techniques
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