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Posted Apr 22Lead ML Engineer - Mapping
at May Mobility
On-site
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Responsibilities
- Architect, design, and implement a production-grade lane and route network mapping stack, ensuring high-performance integration with the broader autonomy system
- Lead the research, design, training and validation of advanced neural architectures.
- Drive major feature development from inception to deployment.
- Own the end-to-end data strategy for the mapping domain. You will define data curation, auto-labeling, synthetic data, and active learning pipelines to capture and resolve long-tail scenarios.
- 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 feature extraction and/or fusion from both street-level and overhead imagery. •
- Expertise in ML optimization for real-time products with limited compute, such as quantization and pruning 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
- This includes 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.
- Self-supervised/semi-supervised and vision/fusion Foundation Models.
- 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 $225,000 — $275,000 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 object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction to extract and model lane and route networks, alongside key semantic features (e.g., traffic signs, signals, and road markings), for automated mapping.
- This includes high-level architecture design, rigorous code reviews, automated testing, mentorship of junior engineers, and technical resolution.
- Work independently with cross-functional teams to translate complex autonomy goals into clear software and system requirements.
- Stay at the research frontier by evaluating, adapting, and innovating cutting-edge techniques.
- Candidates most successful in this role typically hold the following