Applied Ml Validation Manager

General Motors Australia & New Zealand

Sunnyvale, United States
$218,000 to $335,000; bonus potential; health + we...
Applied ml validation team leadership
Behavior evaluation and human benchmarking
Ml-driven autonomy systems
Lead and grow an Applied ML validation team focused on behavior evaluation and human benchmarking for autonomy ML systems

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

Lead and grow an Applied ML validation team focused on behavior evaluation and human benchmarking for autonomy ML systems.

Salary

$218,000 to $335,000; Bonus Potential; Health and wellbeing benefit programs

Skills & Requirements

Must-have

  • Applied ML validation team leadership
  • Behavior evaluation and human benchmarking
  • ML-driven autonomy systems
  • Python and ML tooling
  • Evaluation/validation pipelines for ML systems
  • Define and track system quality metrics

Nice-to-have

  • Autonomous driving experience
  • Simulation-based validation
  • Scalable evaluation for ML
  • Agentic workflows for analysis
  • Building and scaling technical teams

Key Requirements

  • 8+ years experience and MS/PhD
  • 2+ years people management experience
  • Strong programming and data skills in Python
  • Demonstrated experience designing evaluation pipelines
  • Proven ability to define and track metrics

Work Rights

Not specified

Tailored Resume

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