Sr. Machine Learning Engineer, Pricing, Robotaxi

DataJobs; Palo Alto (CA); On-site; USD 172,000 - 258,000; Full time

Benefits offered by this job

Medical plans

Dental & vision

401(k) with match

Employee stock purchase plan

Commuter benefits

Flexible Spending Accounts

Job summary

Tesla's Robotaxi division in Palo Alto is seeking a talented ML pricing engineer to design real-time pricing that balances rider experience with fleet economics. You will develop and productionize pricing algorithms covering base fare, distance, time, demand, and location surcharges.

You will collaborate with growth and profitability teams to scale the pricing stack, build models for elasticity and competitive response, and ensure low-latency inference in a large-scale production environment.

Qualifications

• 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

Responsibilities

• 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

Skills

Python

Go

C++

Java

Scala

Pricing algorithms

ML models

Low-latency backend

Rideshare/marketplace

Experimentation

Education

Degree in CS/ML/OR/ economics

Tools

ML libraries

Data systems

Job description

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.