Internship Machine Learning Engineer AI Infrastructure Engineering Summer 2026

What to Expect

Consider before submitting an application:

This position is expected to start May 2026 and continue through summer term (ending approximately August 2026 or later, if available). 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.

About the Team

The BottleRocket team at Tesla plays a critical role in enabling Tesla’s Generative AI (GenAI) transformation. We provide the infrastructure and platform that allows engineers across the company to effectively use Large Language Models (LLMs) and agentic tools for automation, chatbots, and customer-facing solutions.

Our work supports both internal tools and customer-facing applications. We focus on building robust, scalable AI infrastructure that powers Tesla’s next-generation intelligent systems.

What You'll Do

• Work on creating GenAI solutions for customer-facing products in Tesla
• Contribute to building centralized AI tools that enable internal teams to leverage AI for their solutions
• Help onboard and test LLMs and deep neural networks on GPU hardware and improve their efficiency
• Develop fine-tuning methods to improve model accuracy for specialized use cases
• Support the integration and optimization of AI models within Tesla’s infrastructure

What You'll Bring

• Able to work on site in Fremont, CA
• Currently pursuing or recently completed a Master’s or PhD in Computer Science, Physics, Mathematics, or a related field
• Strong background in Python programming, CUDA, VLLM, and comfortable working with PyTorch or JAX
• Experience with strong mathematical modelling and foundational modelling
• Solid understanding of Large Language Models (LLMs), Reinforcement Learning, and modern deep learning techniques
• Research experience with publications in the GenAI field is a significant plus
• Previous experience with GPUs, model optimization, fine-tuning, or deploying LLMs is highly valued

Compensation and Benefits

Benefits

As a full-time Tesla Intern, you will be eligible for:

• Medical plans > plan options with $0 payroll deduction
• Family-building, 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
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• 401(k), Employee Stock Purchase Plans, and other financial benefits
• Company Paid 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

Expected Compensation

$40.00 - $58.89/hour + 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.

Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.