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

What You'll Do

• Work on developing novel techniques for robustly handling start and end of trip Robotaxi behaviors in a rapidly scalable way
• Leverage millions of miles of driving data and interventions to build a robust and scalable end-to-end learning based self-driving system
• Use cutting-edge techniques from generative modeling, imitation learning, and reinforcement learning to improve the planning and reasoning capabilities of our driving models
• Experiment with data generation and fleet data collection approaches to enhance the diversity and quality of training data
• Integrate directly with vehicle firmware and ship production quality, safety-critical software to the entirety of Tesla's vehicle fleet

What You'll Bring

• Strong experience with Python, any major deep learning framework, and software engineering best practices
• An "under the hood" knowledge of deep learning modern architectures, optimization, model alignment, etc.
• Proven expertise in deploying production ML models for self-driving and robotics at scale
• Any experience with C++ would help integrate with vehicle firmware and take projects from ideas to shipped products

Benefits

• Competitive pay
• Medical plans with $0 payroll deduction
• Fertility, adoption, and surrogacy benefits
• Dental and vision plans with $0 paycheck contribution
• 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
• Commuter benefits
• Employee discounts and perks program

Expected Compensation

$176,000 - $420,000/annual salary + cash and stock awards + benefits