ZipRecruiter

Log In

1

Tesla Data Science Jobs (NOW HIRING)

BillionToOne

Data Scientist, Prenatal

Menlo Park, CA

... a data science hat to analyze it, build dashboards, and deliver insights that drive decisions ... Free on-site EV charging (compatible with all EVs, including Tesla) At BillionToOne, we are proud ...

Tesla

Software Engineer, Optimus

Palo Alto, CA · On-site

... data acquisition systems, mechanical actuators, PLCs, and Tesla products over CAN, UDS, etc. • ... • Degree in Computer Science, Computer Engineering, Mechanical Engineering, Electrical ...

Cognition

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step-our ... engineering, data science, or full-stack data role * Expert on SQL and Python (required)

Tesla

Software Engineer, Backend

Fremont, CA · On-site

Job Summary : Tesla is a leading electric vehicle manufacturer specializing in innovative ... The Manufacturing Quality Data Engineering team is looking for a Software Engineer, Backend to ...

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$180K - $270K/yr

... Tesla. While we can't reveal too much just yet, our team is tackling cutting-edge engineering ... PhD in computer science, machine learning, computational neuroscience, or related fields (or ...

next page

Showing results 1-20

All JobsTesla Data Science Jobs

Tesla Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do tesla data science jobs pay per year?

As of Aug 4, 2026, the average yearly pay for tesla data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Tesla Data Science vs Tesla Data Engineering?

AspectTesla Data ScienceTesla Data Engineering
Required CredentialsDegree in Data Science, Statistics, or related field; experience with machine learning and analyticsDegree in Computer Science, Software Engineering, or related; experience with data pipelines and infrastructure
Work EnvironmentAnalyzing data, building models, interpreting resultsDeveloping and maintaining data infrastructure, ETL processes
Employer & Industry UsageUsed across Tesla for product insights, autonomous driving, energy solutionsSupports Tesla's data infrastructure, ensuring data availability and quality

Tesla Data Science focuses on analyzing data and building predictive models to inform decisions, while Tesla Data Engineering centers on creating and maintaining the data infrastructure that enables data collection and processing. Both roles are essential and often collaborate within Tesla's data ecosystem.

More about Tesla Data Science jobs
What states have the most Tesla Data Science jobs? States with the most job openings for Tesla Data Science jobs include:
What job categories do people searching Tesla Data Science jobs look for? The top searched job categories for Tesla Data Science jobs are:
Tesla Data Science jobs near you
Infographic showing various Tesla Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Machine Learning Engineer, Maps & Navigation, Robotaxi

Tesla

Palo Alto, CA • On-site

Full-time

Re-posted 11 days ago

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 679 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers

Job description

Job Summary:
Tesla is a leading electric vehicle manufacturer, and they are seeking a Machine Learning Engineer to join their Vehicle Controls and Navigation Algorithms team. The role involves developing accurate maps for Tesla's navigation engine, improving map quality through algorithmic approaches, and positively impacting the customer experience for current and future autonomous Robotaxi fleets.
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
Qualifications:
Required:
• 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
Preferred:
• Experience with GIS and map building/map quality problems at scale
• Experience with using ML approaches to map problems
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Tesla employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply