Internship, RL Engineer, Tesla AI (Fall 2026)

About the role

This position is expected to start August or September 2026 and continue through fall term (ending approximately December 2026) or continuing into Winter/Spring 2027 if available and there is an opportunity to do so. We ask for a minimum of 12 weeks, full-time (40 hours/week) and on-site, for most internships. Our internship program is for students who are actively enrolled in an academic program. Recent graduates seeking employment after graduation and not returning to school should apply for full-time positions, not internships. International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. You must be able to work 40 hours per week on-site. Many students will be limited to part-time during the academic year.

Responsibilities

• Develop end-to-end robotic learning with either reinforcement or imitation learning
• Train machine learning and deep learning models on a computing cluster for grasping and locomotion tasks
• Learn to perform dexterous tasks using high degree of freedom hands
• Learn different robot policies to solve language-conditioned tasks from vision

Requirements

Currently pursuing a Degree in Computer Science, Robotics, Machine Learning, Controls, or a related field with a graduation date of (2026-2027)

Proficiency in Python (numpy, pytorch) and solid software fundamentals

Strength in at least one of: reinforcement learning; deep learning, including network architectures and training recipes; or robotics and controls, including dynamics, kinematics, and optimization-based control

PREFERRED: legged or dynamic robots, sim2real, or massively parallel simulation (e.g. mjlab, IsaacLab); impedance or force control, MPC, or trajectory optimization; designing or tuning network architectures and training recipes

Qualifications

Interns must be able to work 40 hours per week on-site.

Skills

Currently pursuing a Degree in Computer Science, Robotics, Machine Learning, Controls, or a related field with a graduation date of (2026-2027)

Proficiency in Python (numpy, pytorch) and solid software fundamentals

Strength in at least one of: reinforcement learning; deep learning, including network architectures and training recipes; or robotics and controls, including dynamics, kinematics, and optimization-based control

PREFERRED: legged or dynamic robots, sim2real, or massively parallel simulation (e.g. mjlab, IsaacLab); impedance or force control, MPC, or trajectory optimization; designing or tuning network architectures and training recipes

Benefits

Medical plans > plan options with $0 payroll deduction

Fertility, adoption and surrogacy benefits

Dental (including orthodontic coverage) and vision plans. Both have an option with a $0 payroll contribution

Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Medical Plan with HSA

Flexible Spending Accounts (FSA)

401(k), Employee Stock Purchase Plans, and other financial benefits

Basic Life, AD&D, and short-term disability insurance (90 day waiting period)

Employee Assistance Program

Sick and Vacation time (Flex time for salary 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

Commuter benefits

Employee discounts and perks program

Pay

$100,000 - $150,000/annual salary + benefits