Applied Ml Validation Manager

Chevrolethelena

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Applied ml validation team leadership
Behavior critic frameworks
Human benchmarking programs
** Chevrolethelena is seeking an Applied ML Validation Manager to lead a team focused on developing evaluation frameworks for machine learning-driven autonomous vehicle systems. The role involves collaborating with various teams to establish metrics for assessing driving behaviors in simulations and real-world environments. **

Job Summary

  • Lead and grow an Applied ML validation team focused on behavior evaluation and human benchmarking for autonomy ML systems.
  • Define the strategy and roadmap for evaluating ML behavior against human-like driving expectations across simulation, replay, and on-road environments.
  • Partner closely with autonomy, simulation, safety, and product teams to integrate behavior critic and human benchmarking outputs into training, offline validation, release gating, and reporting.

Matching Summary

Match Score: 75

** Chevrolethelena is seeking an Applied ML Validation Manager to lead a team focused on developing evaluation frameworks for machine learning-driven autonomous vehicle systems. The role involves collaborating with various teams to establish metrics for assessing driving behaviors in simulations and real-world environments. **

Skills & Requirements

Must-have

  • Applied ML validation team leadership
  • Behavior critic frameworks
  • Human benchmarking programs
  • Python and ML tooling
  • ML system evaluation pipelines

Nice-to-have

  • Autonomous driving experience
  • Simulation-based validation
  • Agentic workflows
  • Scaling technical teams
  • ML observability

Key Requirements

  • 8+ years experience
  • MS/PhD degree
  • 2+ years people management
  • Strong programming and data skills
  • Experience designing evaluation pipelines

Work Rights

Not specified

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