Applied ML Validation Manager
Core
Lead a team building behavior critics and human benchmarking capabilities to evaluate ML-driven autonomy systems against safe, comfortable, and intuitive driving expectations.
Role type
Senior Applied ML Validation Manager (Team Lead)
Builds
Behavior critic frameworks and human benchmarking programs for autonomous vehicle validation pipelines
Domain
Autonomous Vehicles / Machine Learning / Simulation
Deliverable
production ML models
Required skills
People management, Python programming, ML tooling (PyTorch), evaluation pipeline design, metrics definition, team scaling
Preferred skills
Autonomous driving validation, simulation-based validation (VLM critics), agentic workflows, ML observability
Technologies
Python, PyTorch
Responsibilities
Lead and grow an Applied ML validation team; Define strategy for evaluating ML behavior against human expectations; Design and operate behavior critic frameworks; Develop and scale human benchmarking programs; Partner with autonomy and safety teams to integrate validation outputs
Seniority
Senior, hands-on IC with people management
