Automotive Data Jobs

1 job found

2mo ago

Machine Learning Engineer, Maps & Navigation, Robotaxi

Tesla Palo Alto, CA

Palo Alto, CA

2mo ago Closed

$140k - $360k/yr Full time Analytics Automotive Data Analytics

This position is no longer accepting applications (closed Jun 7, 2026).

Job Description

Tesla offers a challenging, impact-driven environment in Palo Alto, where you contribute to maps and navigation for our Robotaxi ecosystem. This onsite role blends advanced machine learning with data-driven map quality improvements and scalable production systems, backed by comprehensive benefits and growth opportunities. You will join a collaborative team focused on building accurate maps that power Tesla’s navigation engine for current vehicles and future Robotaxi services.

Benefits

Medical plans with plan options that include zero payroll deduction in some choices
Family-building, fertility, adoption, and surrogacy support
Dental and vision coverage with options that do not require employee contributions
Company-paid Health Savings Account contributions when enrolled in a high-deductible plan with an HSA
Healthcare and Dependent Care Flexible Spending Accounts
401(k) with employer match, Employee Stock Purchase Plan, and additional financial benefits
Company-paid Basic Life and AD&D insurance
Short-term and long-term disability insurance
Employee Assistance Program
Sick leave, vacation, holidays, and flexible scheduling for salaried roles
Back-up childcare and parenting support resources
Voluntary benefits including critical illness, hospital indemnity, accident insurance, theft and legal services, and pet insurance
Weight loss and tobacco cessation programs
Tesla Babies program
Commuter benefits
Employee discounts and perks program

Responsibilities

Utilize Tesla data to measure map quality and surface issues across lane graphs, connectivity, attributes, points of interest, and related elements
Automate workflows to improve precision, identify gaps, and accelerate map improvements
Design, prototype, and deploy cutting-edge machine learning and data-driven algorithms to enhance the map-building process
Leverage insights to prioritize improvements across the map-building stack
Own and champion map quality as a core component of the Robotaxi and Full Self-Driving experience

Requirements

Strong fundamentals in geospatial and topological analytics
Experience measuring, improving, and validating map and lane-graph quality
Comfort working with large production-scale datasets
Proficiency in Python, Go, or C++, with libraries for geospatial or graph analysis
Experience with GIS and map-building or map-quality problems at scale is preferred
Experience applying machine learning approaches to map-related problems is a plus
Ability to collaborate cross-functionally with software engineers on open-ended projects in small, fast-moving teams
Strong ability to communicate actionable analytics and insights to cross-functional teams
Degree in Statistics, Operations Research, Computer Science, Data Science, or equivalent demonstrated by experience and ability

Technologies

Python, Go, C++, GIS

What to Expect

As a member of the Vehicle Controls and Navigation Algorithms team, you will help develop accurate maps of the world’s road network that power Tesla’s navigation engine used by current vehicles and future Robotaxis. You will experiment with new algorithmic approaches to build maps, improve their quality, and implement these changes in production systems. Your work will influence the customer experience by driving improvements across the map-building workflow.

Compensation

Expected salary range is USD 140,000 to 360,000 per year, plus cash and stock awards and benefits. Pay may vary based on location, job-related knowledge, skills, and experience. The total compensation package may include additional elements beyond salary; details are provided if an offer is extended.

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