Tesla AI is seeking reinforcement and imitation learning engineers to develop end-to-end robotic learning systems for humanoid robots. The role involves building AI systems that can perform complex physical tasks and deploying them in real-world applications.

• Experience in end-to-end robotic learning, with either imitation or reinforcement learning
• Experience writing production-level Python (including Numpy and Pytorch)
• Experience with distributed deep learning systems
• Exposure to robot learning through tactile and/or vision-based sensors is a plus
• Proven track record of training and deploying real world neural networks

• Develop end-to-end robotic learning with either reinforcement or imitation learning
• Reinforcing correct set of actions, rewarding correct behavior and negating incorrect behavior (with real-time action/reward feedback loops)
• Perform a large number of instructions and generalize new tasks with different objects and environments
• Learn to perform dexterous tasks using high degree of freedom hands
• Learn different robot policies to solve language-conditioned tasks from vision
• Ship production quality, safety-critical software

• Employees at Tesla are often offered day-one coverage with multiple medical options (some at $0 paycheck cost), dental/vision, company HSA contributions, a 401(k) match, and equity programs. Most roles also include paid time off and holidays, family-building support, employee assistance, commuter and childcare benefits, and access to discounts and wellness programs.