Ml Validation Engineer - Early Career

General Motors

Not specified (assume hybrid if not explicitly mentioned)
Simulation-based evaluation
Performance monitoring and observability
Uncertainty modeling
The ML Validation Engineer - Early Career position at General Motors involves contributing to machine learning research aimed at enhancing the validation of ML components for robotics and autonomous driving. The role requires strong programming skills, experience with ML research, and collaboration across various teams

Job Summary

  • The ML Validation Research Engineer - Early Career will contribute to applied machine learning research focused on improving verification and validation of ML components used in robotics and autonomous driving systems.
  • Key responsibilities include prototyping research concepts into performant tools, developing AI-tools for performance monitoring, advancing ML research for simulation validation, and creating AI-centric automations for issue triage.
  • General Motors is committed to a vision of Zero Crashes, Zero Emissions and Zero Congestion, and fosters an inclusive workplace where employees can thrive.

Matching Summary

Match Score: 85

The ML Validation Engineer - Early Career position at General Motors involves contributing to machine learning research aimed at enhancing the validation of ML components for robotics and autonomous driving. The role requires strong programming skills, experience with ML research, and collaboration across various teams.

Skills & Requirements

Must-have

  • simulation-based evaluation
  • performance monitoring and observability
  • uncertainty modeling
  • scenario coverage automation
  • prototype advanced ML research
  • Python, PyTorch/JAX/TensorFlow proficiency

Nice-to-have

  • collaboration with cross-functional partners
  • technical documentation and white papers
  • driving meaningful change
  • fostering inclusion and belonging

Key Requirements

  • B.Sc or MS in ML, Robotics, Computer Science
  • work related experience
  • integrating ML evaluation into CI/CD pipelines
  • published work, internal tools, or patents

Work Rights

Not specified

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