Reinforcement Learning Engineer, Policy, Optimus
- Pay
- $176,000 – $420,000 per year
- Location
- Palo Alto, CA · On-site
- Job type
- Full-time
- Level
- Mid-level
- Listed
- 29 days ago
Skills & highlights for this role
- reinforcement learning
- machine learning
- robotics
About the role
- Reinforcement Learning Engineer, Policy, Optimus | Tesla (Tesla SI)
- Location: Palo Alto, California | Req ID: 222416 | Job Type: Full-time
- What to Expect
Tesla SI is solving robust embodied intelligence through humanoid robots. The goal of our reinforcement learning team is to build and demonstrate a general robot learning system that can leverage SI to perform complex physical tasks, ranging from full body locomotion, precise manipulation, and more. Our reinforcement and imitation learning engineers are responsible for end-to-end robotic learning and own this stack from inception to deployment. Most importantly, you will see your work repeatedly shipped to and utilized by 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
- 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
Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
- Medical plans > plan options with $0 payroll deduction
- Family-building, fertility, adoption and surrogacy benefits
- Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
- Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
- Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
- Company paid Basic Life, AD&D
- Short-term and long-term disability insurance (90 day waiting period)
- Employee Assistance Program
- Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
- Back-up childcare and parenting support resources
- Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
- Weight Loss and Tobacco Cessation Programs
- Tesla Babies program
- Commuter benefits
- Employee discounts and perks program
- Earned Wage Access: Real-time pay access paid daily, subject to eligibility and schedule (applicable for below Sr. Managers levels)
Expected Compensation$176,000 - $420,000/annual salary + cash and stock awards + benefitsPay 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.
From Tesla's careers page, first listed on Rolev.ai on October 12, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the Reinforcement Learning Engineer, Policy, Optimus role at Tesla?
The Reinforcement Learning Engineer, Policy, Optimus posting at Tesla states compensation of $176,000 – $420,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Tesla's official career site.
Where is the Reinforcement Learning Engineer, Policy, Optimus job at Tesla located?
This Reinforcement Learning Engineer, Policy, Optimus position at Tesla is located in Palo Alto, CA (On-site). Always check Tesla's application page for specific state eligibility or relocation policies.
What qualifications are required for Reinforcement Learning Engineer, Policy, Optimus at Tesla?
For the Reinforcement Learning Engineer, Policy, Optimus role, Tesla highlights experience with reinforcement learning, machine learning, robotics. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Reinforcement Learning Engineer, Policy, Optimus position at Tesla?
This listing links directly to Tesla's application page. You can apply directly on Tesla's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.