Senior Machine Learning Engineer - Localization
Core
Develop production ML models and sensor fusion algorithms for real-time ego-motion estimation and localization in autonomous trucks.
Role type
Senior Machine Learning Engineer (Autonomous Driving)
Builds
Production-ready localization and sensor fusion software for automated freight trucks
Domain
Autonomous driving / Robotics / Logistics
Deliverable
production ML models
Required skills
PyTorch, C++, Python, 3D geometry, probabilistic estimation, sensor fusion, large-scale data pipelines, model deployment
Preferred skills
Factor graphs, Kalman filtering, distributed computing (Ray/Kubernetes), embedded real-time constraints, simulation, ISO 26262
Technologies
PyTorch, C++, Python, LiDAR, camera, radar
Responsibilities
Design and deploy ML models for learned pose estimation, sensor extrinsic calibration, and map matching; Develop scalable training workflows using distributed infrastructure; Analyze vehicle data to identify failure modes and drive improvements; Define evaluation and validation strategies for localization quality; Collaborate with perception, mapping, and planning teams; Provide technical leadership through design and code reviews.
Seniority
Senior, hands-on IC with mentorship