Lead ML Engineer: Lane & Route Network Mapping

Maymobility; United States; On-site; USD 220,000 - 270,000; Full time

Benefits offered by this job

Healthcare

401(k) match

Parental leave

Flexible vacation

Wellness program

Job summary

May Mobility is seeking a Lead ML Engineer for Lane & Route Network Mapping to architect and deploy a production-grade mapping stack, enabling autonomous vehicles to understand and navigate complex urban roads. You will lead development of neural networks for vectorized maps, BEV fusion, and multi-modal data, while shaping data pipelines and evaluation frameworks.

You will collaborate with cross-functional teams to ensure seamless deployment to the vehicle fleet and stay at the forefront of

Qualifications

• Ph.D. or Master’s degree in CS, EE, Robotics or related field.
• 7+ years of industry experience deploying ML/DL models for mapping or computer vision at scale.
• Deep expertise in vectorized mapping networks, BEV-based representation, and temporal modeling.
• Expertise in ML/DL development using PyTorch or TensorFlow with distributed training and data curation.
• Strong programming skills in Python and C++ with Linux-based development.
• Proven leadership in guiding technical roadmaps and mentoring engineers.

Responsibilities

• Lead research, design, and validation of neural networks for vectorized mapping and multimodal fusion.
• Build production-grade lane and route mapping stack integrated with perception, behavior, policy, and prediction.
• Drive feature development from concept to deployment with code reviews and testing.
• Own data strategy for mapping domain including data curation, auto-labeling, and synthetic data pipelines.
• Develop metrics and evaluation frameworks for lane/route network accuracy and scalability.
• Collaborate with ML and Autonomy teams to deploy mapping features to the fleet.

Skills

MapTR

BEV fusion

Transformers

GNNs

HD maps

Python

C++

Leadership

Education

Master's or PhD in CS/EE/Robotics

Tools

PyTorch

TensorFlow

Linux

Job description

May Mobility is seeking a Lead ML Engineer for Lane & Route Network Mapping to architect and deploy a production-grade mapping stack, enabling autonomous vehicles to understand and navigate complex urban roads. You will lead development of neural networks for vectorized maps, BEV fusion, and multi-modal data, while shaping data pipelines and evaluation frameworks.

You will collaborate with cross-functional teams to ensure seamless deployment to the vehicle fleet and stay at the forefront of