Staff Software Engineer, Behavior ML Data

Highlights

• Design scalable pipelines turning massive autonomy data into training signals.
• Build active learning engines that auto-sample informative data for labeling.
• Develop introspection tools to find model failures and rare scenarios.

What they offer

• Annual performance bonus
• Equity
• Competitive benefits package

Ideal candidate

Technical leader who thrives at the intersection of autonomy, ML and infrastructure and loves turning research ideas into robust production systems that advance real-world autonomous driving.

Requirements

• 7+ years architecting and delivering complex, multi-system ML data engineering systems
• B.S./M.S. in Computer Science, AI, Electrical Engineering, Robotics or equivalent experience
• Understanding of end-to-end ML data pipelines and interaction with training and evaluation
• Strong proficiency in C++ and Python with petabyte-level data management experience
• Experience turning data concepts like uncertainty sampling into stable 24/7 production services