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Posted Apr 24Lead ML Engineer - Lane & Route Networking Mapping
at May Mobility
On-site
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Responsibilities
- Lead the research, design, architecture, training and validation of advanced neural networks for vectorized mapping (e.g., MapTR), multi-camera BEV transformers, and multimodal fusion models to extract and model lane and route networks for both high-fidelity offline pipelines and real-time online mapping.
- Architect, design, and implement a production-grade lane and route network mapping stack, ensuring high-performance integration with upstream and downstream modules like Perception, Behavior, Policy, and Prediction.
- Drive major feature development from inception to deployment.
- Own the end-to-end data strategy for the mapping domain, specifically focusing on lane and route networks.
- Develop robust metrics and evaluation frameworks for lane and route network accuracy, temporal consistency, 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.
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.
- Ph.D. or Master’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.
- Strong understanding of HD maps, including lane and road network geometry modeling, connectivity, and semantic attributes.
- Expertise in ML/DL development using PyTorch or TensorFlow, including
- experience with distributed training, synthetic data generation, large-scale dataset handling, and data curation strategies.
- Strong programming skills in Python and/or C++ with
- experience in modular software design and Linux-based development.
- experience in ML/DL for autonomous driving or ADAS systems. •
- Experience with self-supervised and/or semi-supervised learning for large-scale representation learning. •
- Expertise in ML optimization for real-time products with limited compute, such as quantization, pruning, or distillation of large transformer models.
- A proven record of inventions and/or publication record at top-tier conferences (e.g., CVPR, NeurIPS, ICCV, ECCV, ICLR). Physical Requirements
- experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.
Experience
- 7+ years of industry
- Strong communication skills with the ability to lead technical discussions and align with cross-functional teams. Desirable 10+ years of
Benefits
- Stay at the research frontier by evaluating, adapting, and innovating cutting-edge techniques, including online vectorized HD map construction, end-to-end mapping models, and vision/fusion Foundation Models to deliver production-ready solutions. Qualifications and Experience
- Computer Vision Foundations: Object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction.
- Experience utilizing Vision-Language Models (VLMs) and/or Foundation Models for auto-labeling and long-tail (edge-case) detection.
- Travel required? - Moderate: 11%-25% Benefits and Perks
- Comprehensive healthcare suite including medical, dental, vision, life, and disability plans.
- Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
- Rich retirement benefits, including an immediately vested employer safe harbor match.
- Generous paid parental leave as well as a phased return to work.
- Flexible vacation policy in addition to paid company holidays.
- Salary Range $210,000 — $245,000 USD
Additional details
- May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world.
- 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.
- 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. Essential Responsibilities
- This includes high-level architecture design, rigorous code reviews, automated testing, mentorship of junior engineers, and technical resolution.
- You will define data curation, auto-labeling, synthetic data, and active learning pipelines to capture and resolve long-tail scenarios.
- Work independently with cross-functional teams to translate complex autonomy goals into clear software and system requirements.
- Candidates most successful in this role typically hold the following
- qualifications or comparable knowledge or experience: Required