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September 25, 2026

Senior Machine Learning Engineer, Pricing (Robotaxi)

Senior

172,000 - 258,000 USD/yr

Palo Alto, CA

Quick Facts

  • Role: Senior Machine Learning Engineer (Pricing) for Robotaxi
  • Focus: Real-time ML pricing models, optimization, and production systems

Description

Design, train, and productionize machine learning models for real-time Robotaxi pricing. Develop elasticity, conversion, and competitive-response models to set base fare and dynamic route/session pricing while protecting rider trust with fairness guardrails. Build low-latency inference and experimentation/monitoring pipelines to continuously improve pricing and support global market expansion.

Responsibilities

  • Design, train, and productionize pricing ML models (base fare, distance/time, demand, traffic, tolls, taxes, government fees, location-specific surcharges)
  • Build price-elasticity, conversion, and competitive-response models
  • Develop dynamic, contextual pricing with logical guardrails for quote fairness and rider trust
  • Productionize ML and optimization pipelines (feature engineering, training, low-latency inference, experimentation, monitoring, rollback)
  • Analyze ride sessions, costs, and competitor prices to improve the pricing stack
  • Support global expansion with market-specific fees and event/airport scenarios
  • Partner with growth and profitability teams to scale fleet economics

Requirements

  • Degree in Computer Science, Machine Learning, Operations Research, Economics, or related field, or equivalent experience
  • 4+ years developing and deploying ML models and pricing/marketplace algorithms in large-scale production environments
  • 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
  • Strong experimentation instincts and first-principles economics
  • Ability to solve open-ended, difficult technical problems with little guidance
  • Excellent cross-functional collaboration

Benefits

  • Medical, dental, and vision plans with $0 payroll deduction for medical options
  • Family-building, fertility, adoption, and surrogacy benefits
  • Employer HSA contribution (when enrolled in eligible medical plan)
  • Healthcare and Dependent Care FSAs
  • 401(k) with employer match, Employee Stock Purchase Plans
  • Company paid Basic Life and AD&D; short-term and long-term disability
  • Employee Assistance Program
  • Flex time and paid holidays; sick and vacation time
  • Backup childcare and parenting support resources
  • Voluntary benefits (critical illness, hospital indemnity, accident, theft & legal, pet insurance)
  • Weight loss and tobacco cessation programs; employee discounts and perks
  • Tesla Babies program and commuter benefits

Expected Compensation

$172,000 - $258,000 annual salary + cash and stock awards + benefits

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