Tesla

Makes electric cars, robotaxis and grid batteries

Machine Learning Engineer - Maps & Navigation, Robotaxi

Applied Machine LearningConfirmed live in the last 24 hours

Full-timePalo Alto, CA, USANo salary listedIn-person

About the Job

Requirements

Strong fundamentals of geospatial 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, or C++, and libraries for geospatial 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.
A degree in Statistics, Operations Research, Computer Science, or Data Science, or equivalent experience and evidence of exceptional ability.

Responsibilities

Leverage Tesla’s unique data sources and skills to measure map quality and surface issues across lane graphs, connectivity, attributes, points of interest, and other elements.
Automate map-quality workflows, improve their precision, and identify process gaps to speed up map improvements.
Design, prototype, and deploy state-of-the-art machine learning and data-driven algorithms to improve the map-building process.
Use insights to help prioritize improvements across the map-building stack.
Own and champion map quality for the Robotaxi and Full Self Driving experience.

Desired Qualifications

Experience with GIS and map-building or map-quality problems at scale.
Experience using machine learning approaches to map problems.

Category	Vehicle Software
Location	PALO ALTO, California
Requisition ID	261137
Type	Full-time

Job Description

<div class="MSWordContent"><p>As a member of the Vehicle Controls and Navigation Algorithms team, you will work on developing accurate maps of the world’s road network, used to power Tesla’s navigation engine which is leveraged by all existing customer cars and future Robotaxis. You will experiment with new algorithmic approaches to build maps, improve their quality, and implement these changes in production systems. Ultimately, you will positively impact customer experience by championing improvements across our map building stack in a data-driven, first-principled way that leverages all the data collected from our fleet of millions of vehicles across the world. This role is highly impactful, critical to the experience of millions of Tesla customers on the road today, and future autonomous Robotaxi fleets. </div>

Job 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

Job Requirements

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
Experience with GIS and map building/map quality problems at scale preferred
Experience with using ML approaches to map problems is a plus
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

About the Company

Tesla

Makes electric cars, robotaxis and grid batteries

Tesla makes electric cars and batteries that store power for homes and utilities, and it develops self-driving software and humanoid robots. In 2023, its Model Y became the first electric vehicle to rank as the world's best-selling car. Buyers order the Model 3 sedan, Model Y SUV, or Cybertruck pickup directly from Tesla instead of through dealers, and they charge on its Supercharger fast-charging network. It also sells Megapack and Powerwall batteries, runs a robotaxi service, and charges drivers a monthly fee for self-driving software that still needs their supervision. Tesla was founded in 2003, with Elon Musk as its lead early investor and a recognized co-founder, and it is based in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 2003

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