Senior, ML Engineer - Offline Perception

Architect, implement, test and deploy offline perception modules for object detection, tracking, and fusion to generate annotations from sensors (cameras, LiDAR, radar) on cloud services.
Lead projects and guide junior teammates across planning, execution, and delivery, ensuring timely milestones and quality outcomes.
Stay current with the latest AI/ML developments for autonomous driving and apply disciplined software practices.
Develop offline perception models and algorithms, decide on code reuse, maintain version control, and document applications.
Define ingestion, data preparation, curation, and governance for large, multi-sensor datasets supporting analytics workflows.
Measure annotation quality and build information products with visualization and accessible data for internal customers; establish standards and drive improvements.