Lead ML Engineer

Responsibilities

• Lead the research, design, architecture, training and validation of advanced neural networks for vectorized mapping and multimodal fusion models
• Architect and implement a production-grade lane and route network mapping stack
• Drive major feature development from inception to deployment, including code reviews and mentorship
• Own the end-to-end data strategy for the mapping domain, including auto-labeling and synthetic data pipelines
• Develop robust metrics and evaluation frameworks for lane and route network accuracy
• Collaborate with cross-functional teams to translate autonomy goals into software requirements
• Evaluate and innovate cutting-edge techniques like online vectorized HD map construction and Foundation Models

Requirements

• Ph.D. or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field
• 7+ years of industry experience in ML/DL models for mapping or computer vision at scale
• Deep expertise in vectorized mapping networks, BEV-based scene representation, and temporal modeling
• Experience with cross-modal calibration and fusion (e.g., Camera-to-LiDAR)
• Proficiency with Transformers or Graph Neural Networks (GNNs)
• Strong understanding of HD maps and lane/road network geometry
• Expertise in PyTorch or TensorFlow and distributed training
• Strong programming skills in Python and/or C++
• Proven leadership in guiding technical roadmaps and mentoring engineers

Preferred Qualifications

• 10+ years of experience in ML/DL for autonomous driving or ADAS systems
• Experience with self-supervised or semi-supervised learning
• Experience utilizing Vision-Language Models (VLMs) or Foundation Models
• Expertise in ML optimization for real-time products (quantization, pruning, or distillation)
• Publication record at top-tier conferences like CVPR, NeurIPS, or ICCV

About the Company

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 innovative Multi-Policy Decision Making (MPDM) technology.