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$140k – $360k per year
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In office (Palo Alto)
Employment
Full-Time

First seen by Alion on Nov 5, 2026.

Overview
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Impact
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Tesla is an American electric vehicle and clean energy company founded in 2003 and headquartered in Austin, Texas. It designs, manufactures and sells the Model 3, Model Y, Model S, Model X and Cybertruck through a direct sales model, supported by the largest fast-charging network in the world. Beyond vehicles the company builds Powerwall and Megapack battery storage, solar products, the Full Self-Driving driver assistance stack and the Optimus humanoid robot, and it operates factories in the United States, China and Germany.
Backed by ValueAdd VC

Tesla is hiring a Machine Learning Engineer to develop and improve accurate maps for its navigation engine, used in customer vehicles and future Robotaxis. The role focuses on measuring map quality, building data-driven algorithms, and deploying improvements to production map-building systems.


Responsibilities

  • Leverage Tesla’s unique data sources and your skills to measure map quality and surfaces issues across elements like lane graphs, connectivity, attributes, points of interest, etc
  • Automate these workflows, improve their precision, and identify other process gaps, ultimately speeding up pace of map improvements
  • Design, prototype, and deploy state-of-the-art machine learning and data-driven algorithms to efficiently up-level our map building process
  • Use your insights to help prioritize improvements across the map building stack
  • Overall, own and champion map quality – a critical part of our Robotaxi and Full Self Driving experience

Skills

  • Strong fundamentals of geo-spatial and topological analytics
  • Understanding of approaches to measure, improve, and validate map and lane graph quality
  • Comfort working with large production scale datasets
  • Strong proficiency in either Python, Go, C++ and libraries for geo-spatial, and graph analysis
  • Ability to collaborate cross-functionally with software developers to execute on open-ended projects in small, fast-moving teams
  • Ability to clearly communicate actionable analytics and insights to cross functional teams
  • Degree in Statistics, Operations Research, Computer Science, Data Science, or equivalent in experience and evidence of exceptional ability
  • Experience with GIS and map building/map quality problems at scale preferred
  • Experience with using ML approaches to map problems is a plus

Benefits

  • For full-time Tesla employees, eligible starting on day 1 of hire: medical plans with options with $0 payroll deduction
  • Family-building, fertility, adoption and surrogacy benefits
  • Dental plans, including orthodontic coverage, and vision plans, both with options with a $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
  • 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: 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
  • Earned Wage Access: real-time pay access paid daily, subject to eligibility and schedule (applicable for below Sr. Managers levels)

Company Overview

  • Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. It was founded in 2003, and is headquartered in Austin, Texas, USA, with a workforce of 10001+ employees. Its website is https://www.tesla.com.

  • Company H1B Sponsorship

  • Tesla has a track record of offering H1B sponsorships, with 2860 in 2026, 2646 in 2025, 2107 in 2024, 1304 in 2023, 1227 in 2022, 1102 in 2021, 723 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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