AI Engineer, Computer Use Agents, Digital Optimus

What to Expect As an AI Engineer on the Computer Use Agents team, you will develop AI agents to interact with computer interfaces and perform long-horizon agentic behaviors. Our approach to agentic computer use is modeled after real-time control policies, rather than screenshot-based VLM agents, with the larger goal of integrating with Tesla's broader AI ecosystem for autonomy and robotics. Top candidates will have both an understanding of standard VLM-based approaches to computer use as well as real-time control policies for robotics. You will join a small group of world-class deep learning experts to develop novel architectures and push the boundaries of AI research and development.
What You'll Do

• Design and implement novel AI agents for computer use, using imitation and reinforcement learning to enable tasks like autonomous software interaction, code generation, and real-time decision-making
• Build and optimize scalable training environments for agentic models, focusing on ultra-realistic settings that test ambiguity, interruptions, and long-horizon context retention
• Architect models that are optimized for our edge device deployment, co-designing for our hardware constraints
  
  
• Apply reinforcement learning techniques, both online and offline, to refine and boost agent performance
• Design architectures that perform efficient context management and reasoning for long-horizon agentic planning tasks
• Develop rigorous benchmarks and techniques to evaluate agent performance
• Collaborate across research, infrastructure, and production teams to integrate agent systems into Tesla's autonomy and robotics platforms, such as Full Self-Driving (FSD) and Optimus
• Iterate rapidly on prototypes, debug complex ML stacks, and contribute to research directions that advance agentic AI for practical applications
• Ensure our systems are steerable and interpretable

What You'll Bring

• 2-4 years of experience in machine learning, reinforcement learning, or large language model training/fine-tuning
• Proficiency in Python and a deep understanding of software engineering best practices
• Proficiency in deep learning frameworks such as PyTorch, JAX, or TensorFlow
• Strong problem-solving skills and ability to work effectively in cross-functional teams
• Strong work ethic and willingness to take on multiple roles

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:

• 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

Expected Compensation $124,000 - $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.