Machine Learning Integration Engineer, Tesla AI

What to Expect

Tesla is building the future of AI systems that operate in the real world where safety, reliability, and performance are non-negotiable. As a Machine Learning Integration Engineer, you’ll be at the forefront of this mission, transforming cutting-edge AI research into deployable, safety-critical systems that power Tesla’s vehicles and humanoid robots.

In this role, you will collaborate closely with vehicle hardware and firmware teams to design, evaluate, and ship multimodal AI-based solutions to improve vehicle systems, safety, and customer experience in challenging scenarios. Your work will ship to millions of vehicles and robots globally, repeatedly, reliably, and at scale. Join us in shaping the future of real-world AI.

What You'll Do

Leverage millions of miles of driving data and interventions to build robust and scalable end-to-end learning-based systems

Combine multiple data sources, including video, audio, thermal, mechanical, weather, and other sensors to develop and train end-to-end models for control of all vehicle accessories required for autonomous operation

Lead a machine learning vertical: define data strategies and labeling pipelines, design network architectures, train models, validate with real-world fleet data, and integrate within Tesla’s AI stack

Integrate directly with vehicle firmware and ship production-quality, safety-critical software to the entirety of Tesla’s vehicle fleet

Have an outsized impact by shipping models to millions of Tesla vehicles worldwide

What You'll Bring

Strong physics and mathematical fundamentals

Proficiency in writing production-quality code in Python and experience with any major deep learning framework

Proficiency in modern C++ to integrate with vehicle firmware and take projects from ideas to shipped products

Experience designing, training, deploying, and evaluating models on an actual physical platform (e.g., robots, drone, etc.)

An "under the hood" knowledge of deep learning modern architectures, optimization, quantization, and model alignment

Ability to think “out-of-the-box” to push performance beyond apparent limitations

Excellent problem-solving, critical thinking, and communication skills

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

$140,000 - $390,000/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.

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.