Sr. Machine Learning Engineer, Pricing, Robotaxi

Join Tesla's Robotaxi division to build real-time pricing that shapes how riders experience autonomy and how the fleet performs economically. In this role, you will use first-principles thinking to develop and productionize pricing algorithms that balance customer experience with operational revenue and costs.

Location: Palo Alto, CA (onsite)

Compensation: $172,000 - $258,000 per year + cash and stock awards + benefits

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 and contextual pricing with logical guardrails that protect rider trust and quote fairness
• Productionize ML and optimization pipelines across feature engineering, training, low-latency inference, experimentation, monitoring, and rollback
• Analyze ride sessions, costs, and competitor prices to continuously improve the pricing stack, and help global expansion with market-specific fees, airport, and event experiences
• Partner with growth and profitability teams to help maintain economical scaling of the fleet

What you'll bring

• Degree in Computer Science, Machine Learning, Operations Research, Economics, or a related field, plus 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, with 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

Benefits

As a full-time Tesla employee, you are eligible for benefits at day 1 of hire:

• Medical plans with multiple options and $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

Compensation note: Pay offered may vary depending on individualized factors including market location, job-related knowledge, skills, and experience. The total compensation package may also include other elements depending on the position offered.