Dynamic Pricing Engineer Jobs

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Today

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

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

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