Lead ML Engineer - Lane & Route Network Mapping

May Mobility; Ann Arbor (MI); On-site; USD 210,000 - 245,000; Full time

Benefits offered by this job

Comprehensive healthcare plans

Rich retirement benefits

Flexible vacation policy

Generous paid parental leave

Job summary

May Mobility in Ann Arbor, Michigan is seeking an experienced ML leader to develop and validate advanced neural networks for autonomous vehicle mapping. The ideal candidate will have a Ph.D. or Master's degree in a relevant field and over 7 years of industry experience. This role involves leading research, collaborating with cross-functional teams, and requires strong programming skills in Python or C++. The role offers a competitive salary and comprehensive benefits, emphasizing company wellness and flexibility.

Qualifications

• 7+ years of experience developing and deploying ML/DL models for mapping or computer vision.
• Strong understanding of HD maps and lane geometry modeling.
• Experience in modular software design and Linux-based development.

Responsibilities

• Lead the research and design of advanced neural networks for mapping.
• Develop robust metrics for lane and route network accuracy.
• Collaborate with cross-functional teams to fulfill autonomy goals.

Skills

Deep expertise in vectorized mapping networks

Expertise in cross-modal calibration and fusion

Strong programming skills in Python and/or C++

Expertise in ML/DL development using PyTorch or TensorFlow

Strong communication skills

Education

Ph.D. or Masters degree in Computer Science, Electrical Engineering, Robotics, or a related field

Tools

PyTorch

TensorFlow

Job description

Overview

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 Multi-Policy Decision Making (MPDM) technology that reimagines how AVs think. Our vehicles provide value to communities, bridge public transit gaps and move people safely, easily and with more convenience. Since our founding in 2017, we have given more than 500,000 autonomous rides to real people around the globe. We are hiring people who share a passion for building the future, solving real-world problems and seeing the impact of their work. Join us.

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, including high-level architecture design, rigorous code reviews, automated testing, mentorship of junior engineers, and technical resolution.
• Own the end-to-end data strategy for the mapping domain, focusing on lane and route networks. 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).
• Work independently with cross-functional teams to translate complex autonomy goals into clear software and system requirements.
• Collaborate with ML and Autonomy engineers to ensure the seamless deployment and validation of mapping features to the vehicle fleet.
• 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

Required

• Ph.D. or Masters 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.
• Lane-level topology and connectivity, intersection modeling, and lane/road network graph construction.
• Computer Vision Foundations: Object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction.
• 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 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.
• Proven leadership in guiding technical roadmaps, mentoring engineers, and driving measurable improvements in model performance and system reliability.
• Strong communication skills with the ability to lead technical discussions and align with cross-functional teams.

Desirable

• 10+ years of experience in ML/DL for autonomous driving or ADAS systems.
• Experience with self-supervised and/or semi-supervised learning for large-scale representation learning.
• Experience utilizing Vision-Language Models (VLMs) and/or Foundation Models for auto-labeling and long-tail (edge-case) detection.
• 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

• Standard office working conditions which includes but is not limited to:
• Prolonged sitting
• Prolonged standing
• Prolonged computer use

• Travel required? - Moderate: 11%-25%

Benefits and Perks

• Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.
• 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.
• Total Wellness Program providing numerous resources for overall wellbeing

Note: May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics, or any other legally protected basis. Completion of voluntary demographic questions is confidential and will not impact hiring decisions. If you need accommodations, please let us know.

Salary Range

$210,000—$245,000 USD