Sr. Machine Learning Engineer, Pricing, Robotaxi

Tesla’s Robotaxi division is building real-time pricing capabilities that help align rider experience with operational revenue and cost efficiency. As a Sr. Machine Learning Engineer for Pricing, you will use first principles to design, train, and productionize models that translate trip context into trustworthy, dynamic fare quotes for a driverless fleet.

This onsite role is based in Palo Alto, CA and focuses on shipping low-latency pricing intelligence that can scale across markets.

What You’ll Do

• Design, train, and productionize machine learning models for real-time Robotaxi pricing, including base fare, distance and time, demand, traffic, tolls, taxes, government fees, and location-specific surcharges
• Build price-elasticity, conversion, and competitive-response models
• Develop dynamic, contextual pricing with logical guardrails that protect rider trust and quote fairness
• Productionize ML and optimization pipelines, including feature engineering, training, low-latency inference, experimentation, monitoring, and rollback
• Analyze ride sessions, costs, and competitor prices to continuously improve the pricing stack, and support global expansion with market-specific fees and airport and event experiences
• Partner with growth and profitability teams to help maintain economically scalable fleet operations

What You’ll Bring

• A degree in Computer Science, Machine Learning, Operations Research, Economics, or a related field, or proof of exceptional skills in a related field, or equivalent experience
• 4+ years developing and deploying machine learning models and pricing or marketplace algorithms in large-scale production environments
• Experience in rideshare, marketplace, or large-scale dynamic pricing (strongly preferred)
• Proficiency in Python and at least one of Go, C++, Java, or Scala; experience building backend distributed systems and low-latency, user-facing services
• Experience with deep learning, causal machine learning, and/or reinforcement learning for pricing or real-time decisioning
• Experience with large-scale data systems, deep learning, and ML/RL for pricing and real-time decisioning
• Strong experimentation instincts, first-principles economics, and high standards for optimal outcomes
• Ability to solve open-ended, difficult technical problems with little guidance and collaborate effectively across product, finance, billing, and engineering

Technologies

• Python
• Go
• C++
• Java
• Scala

Compensation

USD 172,000 - 258,000 per year (annual salary) plus cash and stock awards and benefits. Pay may vary based on individualized factors, including market location, job-related knowledge, skills, and experience. Total compensation may include other elements depending on the position offered.

Benefits

• Medical plans with $0 payroll deduction
• Family-building, fertility, adoption and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans with options and $0 paycheck contribution
• Company paid 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 and 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 & legal services, and pet insurance
• Weight Loss and Tobacco Cessation Programs
• Tesla Babies program
• Commuter benefits
• Employee discounts and perks program