Machine Learning Engineer, Destination & Special Behaviors, Self-Driving

Tesla is seeking an experienced applied Machine Learning Engineer to help build robust end-to-end learning-based self-driving models for robotics and vehicle autonomy, onsite in Palo Alto, CA.

Responsibilities

• Develop novel techniques to robustly manage start-of-trip and end-of-trip Robotaxi behaviors at scale
• Leverage millions of miles of driving data and interventions to build a robust, scalable end-to-end learning-based self-driving system
• Apply cutting-edge methods from generative modeling, imitation learning, and reinforcement learning to improve planning and reasoning for driving models
• Collaborate across ground-truth generation, ML model training, and on-vehicle deployment
• Experiment with data generation and fleet data collection to enhance training data diversity and quality
• Integrate production-grade, safety-critical software with vehicle firmware for deployment across Tesla's fleet

Requirements

• Strong experience with Python, any major deep learning framework, and software engineering best practices
• In-depth knowledge of modern deep learning architectures, optimization techniques, and model alignment
• Proven experience deploying production ML models for self-driving and robotics at scale
• Experience with C++ is a plus for vehicle firmware integration and shipping projects

Technologies

• Python
• C++

Benefits

• Medical plans with plan options that involve no employee payroll deductions
• Family-building, fertility assistance, adoption and surrogacy benefits
• Dental and vision coverage with options that require zero after-tax contributions
• Company paid Health Savings Account contributions when enrolled in a high deductible medical plan with an HSA
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• 401(k) with employer match, Employee Stock Purchase Plan, and other financial benefits
• Company paid Basic Life and AD&D insurance
• Short-term and long-term disability insurance (90 day waiting period)
• Employee Assistance Program
• Sick and vacation time, paid holidays, and flexible scheduling for salaried roles with accrued hours for hourly positions
• 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 and employee discounts and perks program

What to expect

Tesla seeks an experienced applied ML engineer to build models that deliver robust robotics-enabled autonomy across current and future vehicle generations. You will work on a lean team with few boundaries and have access to one of the world’s largest training clusters; your work will be shipped to and used by millions of Tesla customers.

Expected compensation

• Salary range: USD 176,000 - 420,000 per year, plus cash and stock awards and benefits
• Pay may vary based on location, job-related knowledge, skills, and experience; total compensation may include additional elements
• Details about participation in benefit plans will be provided if an employment offer is extended