Principal Tech Lead Manager - Embodied Ai Evaluation Foundations

General Motors Australia & New Zealand

Multiple Locations
Base: $296,300 to $453,900; bonus/equity: an incen...
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Measure and visualize av model performance
High-quality evaluation signal
Visualization and metrics presentation
** General Motors Australia & New Zealand is seeking a Principal Tech Lead Manager for their Evaluation Foundations team, which focuses on building diverse and high-quality datasets for autonomous vehicle (AV) model evaluation. The ideal candidate will have a strong technical background in AI/ML and experience in developing evaluation tools and systems to enhance AV performance. **

Job Summary

  • As a Principal Engineer in the Embodied AI Scaling Foundations organization, you will be a senior technical leader owning the technical vision and architecture for how we measure and visualize AV model performance.
  • You will level up these foundational tools by providing high-quality evaluation signal and introspection tools to shorten the experimental path toward the best model.
  • Your work ensures evaluation, data, and infra form a cohesive evaluation flywheel: better signal → better data and training decisions → better models → better signal.

Matching Summary

Match Score: 75

** General Motors Australia & New Zealand is seeking a Principal Tech Lead Manager for their Evaluation Foundations team, which focuses on building diverse and high-quality datasets for autonomous vehicle (AV) model evaluation. The ideal candidate will have a strong technical background in AI/ML and experience in developing evaluation tools and systems to enhance AV performance. **

Salary

Base: $296,300 to $453,900; Bonus/Equity: An incentive pay program offers payouts based on company performance, job level, and individual performance.; Benefits: GM offers a variety of health and wellbeing benefit programs.

Skills & Requirements

Must-have

  • measure and visualize AV model performance
  • high-quality evaluation signal
  • visualization and metrics presentation
  • deeply introspect model behavior
  • evaluation flywheel
  • Python
  • React/TypeScript

Nice-to-have

  • cutting-edge technology
  • collaborative, high-impact team
  • autonomous vehicles
  • Robotics or Autonomous Driving experience

Key Requirements

  • Bachelor’s, Master’s or PhD degree in Computer Science
  • Experience accelerating applied research
  • Proven experience in building large scale systems
  • Excellent communication skills

Work Rights

Not specified

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