Lead Machine Learning Engineer - Localization
Core
Architect and build production-grade localization machine learning stacks enabling autonomous vehicles to understand their position and navigate challenging roads using vision, LiDAR, and radar.
Role type
Lead Machine Learning Engineer (Localization)
Builds
Production ML models for feature extraction, state estimation, and localization
Domain
Autonomous Vehicles / Computer Vision / Robotics
Deliverable
production ML models
Required skills
Computer vision (object detection, segmentation, tracking, depth estimation, 3D reconstruction), Neural architecture design, Self-supervised/semi-supervised learning, Vision/fusion foundation models, Feature extraction from imagery/LiDAR/radar, ML optimization (quantization, pruning), Python/C++ programming, Data strategy (curation, synthetic data, active learning), Real-time system integration
Preferred skills
Vision-Language Models (VLMs), SLAM concepts, Top-tier conference publications (CVPR, NeurIPS, etc.)
Technologies
PyTorch, TensorFlow, Linux
Responsibilities
Architect technical roadmap for localization stack, Lead research/design/training/validation of neural architectures, Drive feature development from inception to deployment, Own end-to-end data strategy, Develop evaluation metrics and failure mode criteria, Integrate frontier techniques, Drive cross-functional alignment
Seniority
Senior, hands-on IC with leadership responsibilities
