# Lead ML Engineer - Lane & Route Network Mapping at May Mobility

- Company: May Mobility
- What the company does: Backed by Y Combinator.
- Company website: http://maymobility.com
- Type: Startups (AI role)
- Level: Senior
- Location: USA - Remote
- Work setup: Remote
- Posted: 2026-04-24
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/maymobility/jobs/8502280002
- Page: https://www.1752.vc/careers/jobs/may-mobility-lead-ml-engineer-lane-and-route-network-mapping/

## About the role

Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe.

## What they're looking for

- Ph.D. or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field with a strong mathematical and engineering foundation
- 7+ years of industry experience developing and deploying ML/DL models for mapping or computer vision at scale
- Deep expertise in several of the following areas:
- Vectorized mapping networks (e.g., MapTR), BEV-based scene representation, and temporal modeling
- Cross-modal calibration and fusion (e.g., Camera-to-LiDAR) within Bird’s-Eye-View (BEV) unified representation spaces
- Transformers or Graph Neural Networks (GNNs) applied to structured lane geometry and topological connectivity

Tags: Autonomy Engineering