Applied ML/AI Manager, Behavior Validation

What you'll do

• Lead and grow a cross-functional team focused on behavior evaluation and human benchmarking for autonomous vehicles.
• Design, implement, and operate offboard ML models capable of robust behavioral inference.
• Architect technical roadmaps and shape strategic ML priorities aligned with company objectives and product milestones.
• Develop scalable evaluation frameworks to turn subjective human driving expectations into rigorous data.
• Integrate behavior critic signals into validation pipelines, continuous release processes, and long-term performance monitoring.
• Partner with autonomy, simulation, safety, and product teams to define how behavior is judged against human drivers.

What we're looking for

• MS/PhD in Computer Science, Machine Learning, Robotics, Software Engineering, Data Science, or a related field.
• 8+ years of experience in a relevant technical field.
• 2+ years of people management or tech lead experience leading engineering teams.
• Strong programming and data skills in Python and PyTorch.
• Demonstrated experience fine-tuning and deploying production vision-based and/or time series-based ML/AI pipelines.
• Experience with autonomous driving, robotics, or other safety-critical domains (preferred).
• Experience designing and training foundation models (preferred).
• Demonstrated background with simulation-based validation for autonomy systems (preferred).