Build real-time, agentic machine learning systems for Tesla’s Digital Optimus Gaming Track.

Design and take ownership of experiments to improve long-horizon agentic gameplay, emphasizing memory and real-time control
Lead or contribute to large-scale training runs, covering data mixture, scaling, infrastructure, and algorithms
Enhance the post-training pipeline, including scalable environments, rewards, and behavior evaluations
Develop architectures focused on efficient context management, real-time reactivity, and intelligent planning for tasks that can run over many days
Create rigorous benchmarks and evaluation techniques for agent performance in games and for measuring transfer across games, embodiments, and general computer use
Partner with research, infrastructure, and production teams to integrate agent systems into Full Self-Driving (FSD) and physical Optimus
Rapidly iterate on prototypes, debug complex multimodal ML stacks, and help define new research directions

Strong technical understanding across the full model lifecycle, from pre-training to inference
Demonstrated impact through at least one large multimodal training run
Experience with planning and/or memory architectures for long-horizon or agentic systems
Track record of delivering research from ideation to publication and/or production
Hands-on experience with VLMs, VLAs, RL, and large-scale transformers
Motivation to ship models that solve hard, high-bar tasks

Develop real-time agents on the Digital Optimus Gaming Track that can operate computers at superhuman levels
Train models to browse the web, use professional apps, and play AAA games
Work across reasoning and planning, video understanding, and multi-agent collaboration with impact to Tesla’s robotics and autonomy ecosystem
Join a small group of engineers to build novel architectures, own large training runs, and deliver breakthrough results

Medical plans (options with $0 payroll deduction)
Family-building, fertility, adoption and surrogacy benefits
Dental (including orthodontic coverage) and vision plans (options with $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 including critical illness, hospital indemnity, accident insurance, theft and legal services, and pet insurance
Weight Loss and Tobacco Cessation Programs
Tesla Babies program
Commuter benefits
Employee discounts and perks program

$124,000 - $420,000 per year base salary
Plus cash and stock awards and benefits
Pay offered may vary based on market location and job-related knowledge, skills, and experience
Total compensation may include other elements depending on the position offered; details provided if an offer is made

Location: Palo Alto, CA (onsite)

Machine Learning Engineer

Job Description