Reinforcement Learning Engineer, Policy, Optimus

What to Expect

Tesla AI is solving robust embodied intelligence through humanoid robots.The goal ofourreinforcement learningteamis to build anddemonstratea general robot learning system that canleverageAI to perform complex physical tasks, ranging from full body locomotion, precise manipulation, and more.Our reinforcement and imitation learningengineersare responsible forend-to-end robotic learningand own this stack frominceptionto deployment. Most importantly, you will see your work repeatedly shippedto andutilizedby thousands of humanoid robots in real world applications.

What You'll Do

• 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

What You'll Bring

Compensation and Benefits Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire :

2 medical plan options with $0 payroll deduction

Expected Compensation $140,000 - $420,000 / annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.