Lead ML Engineer (Mapping)

TL;DR

Lead ML Engineer (Mapping): Architecting and implementing a production-grade lane and route network mapping stack with an accent on advanced neural architectures and multimodal sensor fusion. Focus on designing vectorized mapping networks, optimizing BEV transformers, and developing end-to-end data strategies for autonomous vehicle navigation.

Location: Remote (USA) / Based in Ann Arbor, Michigan

Salary: $225,000 - $275,000 USD

Company

hirify.global transforms cities through autonomous technology to create safer, greener, and more accessible urban transit.

What you will do

• Architect and implement a production-grade lane and route network mapping stack for high-performance integration.
• Lead the research and training of advanced neural architectures, including MapTR, BEV transformers, and LiDAR-camera fusion models.
• Own the end-to-end data strategy, defining curation, auto-labeling, synthetic data, and active learning pipelines.
• Develop robust metrics and evaluation frameworks for network accuracy and temporal consistency across diverse ODDs.
• Collaborate with cross-functional ML and Autonomy teams to deploy and validate mapping features on the vehicle fleet.
• Innovate on the research frontier, focusing on online vectorized HD map construction and vision/fusion foundation models.

Requirements

• Ph.D. or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field.
• 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 scene representation, and multimodal sensor fusion (Camera, LiDAR, radar).
• Strong understanding of HD maps, lane-level topology, and road network graph construction.
• Proficiency in PyTorch or TensorFlow, Python, and C++ within a Linux-based development environment.
• Proven leadership in guiding technical roadmaps and mentoring engineers.

Nice to have

• 10+ years of experience in ML/DL for autonomous driving or ADAS systems.
• Experience utilizing Vision-Language Models (VLMs) for auto-labeling and edge-case detection.
• Expertise in ML optimization for real-time products (quantization and pruning of transformer models).
• A proven publication record at top-tier conferences like CVPR, NeurIPS, ICCV, ECCV, or ICLR.

Culture & Benefits

• Comprehensive healthcare suite including medical, dental, vision, life, and disability plans.
• Health Savings (HSA) and Flexible Spending (FSA) accounts.
• Rich retirement benefits with an immediately vested employer safe harbor match.
• Generous paid parental leave and a phased return to work.
• Flexible vacation policy in addition to paid company holidays.
• Total Wellness Program providing resources for overall wellbeing.