How to apply for Lead ML Engineer - Lane & Route Network Mapping

About May Mobility

May Mobility builds autonomous electric vehicles using its Multi-Policy Decision Making (MPDM) technology. The company is based in Ann Arbor, Michigan, and has given over 500,000 autonomous rides globally. It focuses on bridging public transit gaps and expanding access to transportation.

About the role

This role leads the architecture of the next generation of May Mobility's mapping and localization stack. You will focus on lane and route network mapping, building production-grade systems for spatial intelligence and semantic mapping. The work directly supports how vehicles navigate complex urban, suburban, and rural environments.

A typical day

A typical day might involve designing ML models for lane and route network mapping, collaborating with localization engineers, and reviewing code for production deployment. You may also spend time analyzing mapping data from vehicles and planning next steps for the mapping stack.

Who May Mobility is looking for

• Experience architecting production ML systems for mapping, localization, or autonomous vehicles.
• Strong background in lane-level and route network mapping, including semantic and topological mapping.
• Familiarity with state estimation and spatial intelligence for complex environments.
• Proven ability to lead ML engineering projects from design to deployment.

Tips for this application

• Highlight any experience with lane-level mapping, route networks, or topological mapping in your resume.
• Mention specific projects where you built production ML systems for spatial intelligence or localization.
• Reference May Mobility's MPDM technology and how your work could integrate with it.
• If you have worked on autonomous vehicles, detail the scale and impact of those systems.
• Apply through May Mobility's careers page and tailor your resume to the Autonomy Mapping & Localization group's mission.

What to cover in your cover letter

Emphasize your experience with lane and route network mapping. Discuss how you have architected ML systems for spatial intelligence. Explain how your work can support May Mobility's goal of navigating complex environments. Mention any leadership experience in ML engineering.

Research before applying

• Read about May Mobility's Multi-Policy Decision Making (MPDM) technology.
• Review the Autonomy Mapping & Localization group's mission and recent projects.
• Look into May Mobility's deployment locations and the types of environments they operate in.
• Check recent news or publications about May Mobility's autonomous vehicle technology.

Likely interview topics

Based on the job description, expect questions about:

• How would you design a lane-level mapping system for autonomous vehicles?
• Describe your experience with topological mapping and state estimation.
• How do you ensure production-grade reliability in ML mapping systems?
• What challenges have you faced in mapping complex urban or rural environments?
• How would you integrate new mapping models with May Mobility's MPDM technology?

Common mistakes to avoid

• Submitting a generic ML resume without highlighting mapping or localization experience.
• Ignoring the specific focus on lane and route network mapping in the application.
• Failing to mention any experience with autonomous vehicles or spatial intelligence.