Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.
On the HD Maps team, we are at the forefront of geospatial big-data analytics and insights for customer market segments and product offerings. Our expertise is pivotal in deploying GIS algorithmic stages into scalable production cloud applications, leveraging platforms like AWS and Spark. We work on Mapbox's award-winning high-precision maps (“HD Maps”) products family, spanning across ADAS, AV, and Non-Automotive GIS data customers in numerous projects. We cover everything from data and systems analysis to automotive and cloud application architecture, including compute, storage, cost and performance assessments.
As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow.
Joining us as a Machine Learning Engineer, you'll play a key role in one of the aspects of developing software and tech for improving map features, navigation, and high-definition maps. You'll bring your experience and skills to our exciting project within a competent, cross-functional, passionate, and self-organized team.
In this role, you can expect to:
Assume a key position in deliberating and implementing security best practices.
In addition to our core values, which are not unique to this position and are necessary for Mapbox leaders:
By applying for this position, you acknowledge that you agree to the Mapbox Privacy Policy which is linked here.
We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.
Health Insurance
Mental Health Benefits
Life Insurance
Disability Insurance
401(k) / Retirement Plan
Equity / RSUs
Work From Anywhere
PTO / Vacation
Company Shutdown Days
Parental Leave
Learning & Development Budget






Adoption Leave
Volunteer Time Off
Charity Matching
Flexible Schedule
Team Events & Social Budget