May Mobility
Autonomous Vehicles
SeniorMLEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior ML Engineer at May Mobility. Skills: ML Engineering, Mapping, Localization, Computer Vision. Implement mapping ML. Optimize mapping ML”
Industry & Context.
Technical resolution
Prolonged sitting, Prolonged standing, Prolonged computer use, 5%-10% travel
What They're Looking For.
Must Have
M.S. or B.S. degree, 5+ years industry experience, Deep expertise in computer vision, Expertise in ML/DL development, Programming skills in Python/C++, Experience with modular software design, Linux-based development experience
Nice to Have
Ph.D. degree, Understanding of HD maps, Experience with feature extraction/fusion, Expertise in ML optimization, Proven record of inventions/publications
What You'll Do.
Research neural architectures
Train neural architectures
Evaluate neural architectures
Extract semantic features
Participate in code reviews
Participate in automated testing
Participate in technical resolution
Develop data curation pipelines
Develop auto-labeling pipelines
Develop active learning pipelines
Develop evaluation scripts
Scale evaluations across ODDs
Collaborate with engineers
Validate mapping features
Deploy mapping features
How You'll Work.
Team & Collaboration
ML engineers; Autonomy engineers
Full Job Description
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. 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. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. Job Summary The Autonomy Mapping & Localization group's mission is to provide our vehicles with world-class spatial intelligence, semantic and topological mapping, and state estimation to model and navigate complex urban, suburban, and rural environments. We are looking for a Senior ML Engineer to join our team and build the next generation of our mapping and localization stack. As the Senior ML Engineer for Mapping, you will be at the forefront of this mission, building the production-grade semantic and topological foundation that allows our vehicles to understand and navigate the world's most challenging roads at scale. Essential Responsibilities Implement and optimize production-grade lane and route network mapping ML, ensuring high-performance integration with the broader autonomy system. Research, train, and evaluate advanced neural architectures. This includes object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction to extract and model lane
Applying for this Senior ML Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about May Mobility?
Real rants from real employees. Read before you apply.