Reinforcement Learning Engineer, Optimus
Description For Reinforcement Learning Engineer, Optimus
Tesla is pioneering the development of humanoid robots at scale through their Optimus project, seeking a Reinforcement Learning Engineer to join their AI & Robotics team. This role combines cutting-edge robotics with advanced machine learning, focusing on creating general robot learning systems capable of performing complex physical tasks. The position offers an unique opportunity to work on revolutionary technology that will be deployed across thousands of humanoid robots in real-world applications.
The role demands expertise in both theoretical and practical aspects of reinforcement learning and robotics, with responsibilities ranging from developing sophisticated learning algorithms to implementing safety-critical production systems. You'll be working on challenging problems in robot locomotion, manipulation, and vision-based task execution, while being part of Tesla's innovative culture.
As a Senior Software Engineer in this role, you'll be responsible for the entire learning stack, from conception to deployment. The position offers comprehensive benefits, including premium healthcare options, retirement benefits, and various family-support programs. This is an excellent opportunity for someone passionate about advancing the field of robotics and AI, with the chance to see their work directly impact the future of automation and robotics technology.
Working at Tesla means joining a company at the forefront of technological innovation, with a strong focus on practical applications of AI and robotics. The role offers the unique combination of cutting-edge technical challenges and the resources of a leading technology company, making it an ideal position for someone looking to make a significant impact in the field of robotics and AI.
Responsibilities For Reinforcement Learning Engineer, Optimus
- Develop end-to-end robotic learning with reinforcement or imitation learning
- Implement real-time action/reward feedback loops for correct behavior reinforcement
- Perform large number of instructions and generalize new tasks with different objects and environments
- Develop learning systems for dexterous tasks using high degree of freedom hands
- Create robot policies to solve language-conditioned tasks from vision
- Ship production quality, safety-critical software
Requirements For Reinforcement Learning Engineer, Optimus
- 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
- Proven track record of training and deploying real world neural networks
- Exposure to robot learning through tactile and/or vision-based sensors is a plus
Benefits For Reinforcement Learning Engineer, Optimus
- Aetna PPO and HSA plans with $0 payroll deduction
- Family-building, fertility, adoption and surrogacy benefits
- Dental and vision plans with $0 paycheck contribution
- Company Paid HSA Contribution
- Healthcare and Dependent Care Flexible Spending Accounts
- 401(k) with employer match
- Employee Stock Purchase Plans
- Company paid Basic Life, AD&D, short-term and long-term disability insurance
- Employee Assistance Program
- Sick and Vacation time
- Back-up childcare and parenting support resources
- Tesla Babies program
- Commuter benefits
- Employee discounts and perks program
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