Lead ML Engineer - Mapping

Responsibilities

• Architect, design, and implement a production-grade lane and route network mapping stack
• Lead research, design, training, and validation of advanced neural architectures including object detection, segmentation, and 3D reconstruction
• Drive major feature development from inception to deployment, including code reviews and mentorship
• Own end-to-end data strategy, including curation, auto-labeling, and synthetic data pipelines
• Develop robust metrics and evaluation frameworks for lane and route network accuracy
• Collaborate with ML and Autonomy engineers to ensure seamless deployment to the vehicle fleet
• 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 for mapping or computer vision at scale
• Deep expertise in computer vision foundations (detection, segmentation, tracking, depth estimation)
• Expertise in lane-level topology, intersection modeling, and road network graph construction
• Proficiency in PyTorch or TensorFlow, including distributed training and large-scale dataset handling
• Strong programming skills in Python and/or C++ within Linux-based environments
• 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 feature extraction from street-level and overhead imagery
• Experience utilizing Vision-Language Models (VLMs) for auto-labeling
• Expertise in ML optimization for real-time products (quantization, pruning)
• Publication record at top-tier conferences like CVPR, NeurIPS, or ICCV

Benefits

• Comprehensive healthcare suite (medical, dental, vision, life, and disability)
• Health Savings and Flexible Spending Accounts
• Retirement benefits with employer safe harbor match
• Generous paid parental leave and phased return to work
• Flexible vacation policy and paid company holidays
• Total Wellness Program