Lead ML Engineer, Lane & Route Mapping

Aimlroles; Northern (KY); Hybrid; USD 220,000 - 270,000; Full time

Benefits offered by this job

Comprehensive healthcare

Health Savings & Flexible Spending

Employer retirement match

Parental leave

Flexible vacation

Wellbeing program

Job summary

May Mobility is seeking a Lead ML Engineer to architect and implement the next generation of its lane and route network mapping stack. You will lead research and deliver production-grade models (e.g., MapTR, BEV transforms) with end-to-end data strategies and cross-functional collaboration with Perception, Behavior, Policy and Prediction teams.

You will drive ML/DL development at scale, mentor engineers, and ensure robust validation, optimization, and deployment across the autonomous vehicle

Qualifications

• Ph.D. or Master’s 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 vectorized mapping networks, BEV representations, cross-modal fusion, transformers or GNNs applied to lane geometry, and HD map topology.

Responsibilities

• Lead the research, design, architecture, training and validation of neural networks for vectorized mapping and multimodal fusion.
• Build a production-grade lane and route network mapping stack with integration to perception, behavior, policy, and prediction.
• Drive feature development from inception to deployment with code reviews, tests, and mentorship.
• Own data strategy for mapping - data curation, auto-labeling, synthetic data, and active learning pipelines.
• Develop metrics and evaluation for lane/route network accuracy and scalability across ODDS.
• Collaborate with ML and Autonomy teams to deploy mapping features to the vehicle fleet.
• Stay at the frontier by evaluating and adopting cutting-edge techniques for production-ready solutions.

Skills

Vectorized mapping

BEV representations

GNNs

Lane topology

Python

C++

PyTorch

TensorFlow

Distributed training

Data curation

Education

Ph.D./Master’s in CS/EE/Robotics

Tools

MapTR

BEV pipelines

PyTorch/TensorFlow

Job description

May Mobility is seeking a Lead ML Engineer to architect and implement the next generation of its lane and route network mapping stack. You will lead research and deliver production-grade models (e.g., MapTR, BEV transforms) with end-to-end data strategies and cross-functional collaboration with Perception, Behavior, Policy and Prediction teams.

You will drive ML/DL development at scale, mentor engineers, and ensure robust validation, optimization, and deployment across the autonomous vehicle