Machine Learning Engineer III, Routing Cost

Location

Map()

Employment Type

Full time

Remote

Navigation

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.

The Navigation team at Mapbox develops and operates web services powering virtually all of Mapbox’s strategic navigation initiatives in consumer, automotive, and logistics verticals. We are a highly multidisciplinary organization, with work spanning distributed systems on AWS to geospatial localization, traffic telemetry, and mapping.

Collectively we are revolutionizing in‑car experiences with technology to build fast, industry‑leading maps and navigation for any vehicle. We’ve launched products such as MapGPT, Mapbox for EV, and we’re enhancing the visual experience of in‑vehicle navigation with 3D styling with our new Mapbox Standard through web and mobile SDKs. Mapbox has worked with automotive partners—including BMW, Toyota, and GM—to bring the best aspects of mobile app development into in‑vehicle navigation and infotainment.

• Mapbox Blog:
  Introducing 3D Live Navigation
• Mapbox Blog:
  Route Notifications Improve Driver Safety
• Mapbox Newsroom: AI Features in New Navigation SDK

As a Machine Learning Engineer III on the Routing Cost team, you will lead the design, development, and delivery of highly trafficked recommendation systems for our routing cost engine. Your technical contributions will include:

• Lead the engineering team(s) to execute end‑to‑end feature implementation within the larger navigation organization (~80 engineers).
• Design and build new ML and data pipelines, as well as optimize existing ML and data pipelines.
• Build tools for automated quality assurance and data exploration.
• Leverage geospatial algorithms to optimize pipelines, and create automated tuning and outlier detection algorithms.
• Partner with data scientists to improve our models for determining patterns in movement and/or traffic.
• Mentor colleagues and participate in code and design reviews.
• Participate in an on‑call rotation to ensure our systems remain available to customers 24/7.

• 8‑10+ years of backend and ML experience: Extensive hands‑on experience showcasing expertise and a strong track record in the engineering field.

In addition to our core values, which are not unique to this position and are necessary for Mapbox leaders:

• We value high‑performing creative individuals who dig into problems and opportunities.
• We believe in individuals being their whole selves  commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people.
• We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company.
• We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.

By applying for this position, you acknowledge that you have received the Mapbox Non Records US Privacy Notice for applicants. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.

We are committed to a scrutyand equitable hiring process. We do not discriminate against any protected class.

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