Machine Learning Engineer, Motion Planning, Self-Driving

Tesla is looking for Machine Learning Engineers to build foundation models for robotics and self-driving. The role involves leveraging driving data to develop end-to-end learning-based autonomous driving systems using generative modeling, imitation learning, and reinforcement learning. You will work with a lean team and have access to one of the world's largest training clusters.

• Leverage millions of miles of driving data and interventions to build a robust and scalable end-to-end learning-based self-driving system. Use cutting-edge techniques from generative modeling, imitation learning, and reinforcement learning to improve planning and reasoning capabilities. Experiment with data generation and fleet data collection approaches to enhance training data diversity and quality. Integrate directly with vehicle firmware and ship production quality, safety-critical software to the entire Tesla vehicle fleet.

• Strong experience with Python, any major deep learning framework, and software engineering best practices. In-depth knowledge of deep learning modern architectures, optimization, and model alignment. Proven expertise in deploying production ML models for self-driving, robotics, or natural language processing at scale. Comfort with C++ to integrate with vehicle firmware and take projects from ideas to shipped products.