Machine Learning Integration Engineer, Tesla SI

What to Expect

Tesla is building the future of Super Intellegence 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 SI 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 SI-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 SI. 

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 SI 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

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

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.