Ml Validation Engineer - Early Career

General Motors

Not specified; not specified; benefits include wel...
Not specified
Python proficiency with pytorch or tensorflow
Experience integrating ml into ci/cd pipelines
Strong background in robotics or autonomous systems
General Motors is seeking an early-career ML Validation Research Engineer to enhance verification and validation processes for machine learning components in robotics and autonomous systems. The role emphasizes simulation-based evaluation and the development of automated tools to improve performance monitoring, scenario coverage, and validation methodologies

Job Summary

  • This role focuses on improving verification and validation of machine learning components used in robotics and autonomous driving systems through simulation-based evaluation.
  • The team is responsible for developing AI-centric automations to make issue triage and root cause analysis more scalable while advancing research in scenario synthesis.
  • General Motors offers a rewarding career focused on achieving Zero Crashes, Zero Emissions, and Zero Congestion with a strong emphasis on employee well-being and inclusion.

Matching Summary

Match Score: 85

General Motors is seeking an early-career ML Validation Research Engineer to enhance verification and validation processes for machine learning components in robotics and autonomous systems. The role emphasizes simulation-based evaluation and the development of automated tools to improve performance monitoring, scenario coverage, and validation methodologies.

Salary

Not specified; Not specified; Benefits include well-being support and total rewards resources

Skills & Requirements

Must-have

  • Python proficiency with PyTorch or TensorFlow
  • Experience integrating ML into CI/CD pipelines
  • Strong background in robotics or autonomous systems
  • Ability to translate research into functional prototypes
  • Knowledge of simulation and testing frameworks

Nice-to-have

  • Published research or patent experience
  • Cross-functional collaboration skills
  • Familiarity with generative models and diffusion
  • Experience with open-loop and closed-loop simulation
  • Technical documentation and white paper writing

Key Requirements

  • B.Sc or MS in ML, Robotics, Computer Science
  • Proven research impact through publications or patents
  • Demonstrated ability to build functional prototypes from complex ideas

Work Rights

Not specified

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