Robotics Pricing Data Jobs

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Sr. Machine Learning Engineer, Pricing, Robotaxi

Tesla Palo Alto, CA

Palo Alto, CA

Today

$172k - $258k/yr Full time Artificial Intelligence Data Pipeline Data Processing

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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.

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