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Posted 2 hours agoSenior ML Engineer - Mapping
at May Mobility
Ann Arbor, United StatesOn-site
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.
- Develop data curation, auto-labeling, and active learning pipelines.
- Develop evaluation scripts for lane and route network accuracy, and scaling across diverse Operational Design Domains (ODDs).
- Collaborate with ML and Autonomy engineers to ensure the seamless deployment and validation of mapping features to the vehicle fleet. Qualifications and Experience
Requirements
- 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.
- 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
- M.S. or Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or a related field with a strong mathematical and engineering foundation.
- experience developing and deploying ML/DL models for mapping or computer vision at scale.
- Vectorized mapping networks (e.g., MapTR), BEV-based scene representation, and temporal modeling.
- Expertise in ML/DL development using PyTorch or TensorFlow, including
- experience with synthetic data generation, data curation, and model/algorithm evaluations.
- Strong programming skills in Python and/or C++ with
- experience in modular software design and Linux-based development. Desirable
- Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field with a strong mathematical and engineering foundation.
- Strong understanding of HD maps, including lane and road network geometry modeling, connectivity, and semantic attributes. •
- Experience with feature extraction and/or fusion from both street-level and overhead imagery.