General Motors is seeking an early-career ML Validation Research Engineer to contribute to applied machine learning research aimed at enhancing the verification and validation processes for ML components in robotics and autonomous driving systems. The role emphasizes simulation-based evaluation and requires strong technical skills in machine learning, particularly in Python and related frameworks
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 integrated into CI/CD and large-scale validation pipelines, developing AI-tools to improve performance monitoring and observability for autonomous vehicle stack, and advancing ML research for open and closed loop simulation validation.
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging.
Matching Summary
Match Score: 85
General Motors is seeking an early-career ML Validation Research Engineer to contribute to applied machine learning research aimed at enhancing the verification and validation processes for ML components in robotics and autonomous driving systems. The role emphasizes simulation-based evaluation and requires strong technical skills in machine learning, particularly in Python and related frameworks.
Skills & Requirements
Must-have
simulation-based evaluation
performance monitoring and observability
uncertainty modeling
scenario coverage automation
Python, PyTorch/JAX/TensorFlow proficiency
ML research into functional prototypes
Nice-to-have
collaboration with cross-functional partners
technical documentation and white papers
driving meaningful change
Key Requirements
B.Sc or MS in ML, Robotics, Computer Science
Work related experience
Experience integrating ML evaluation into CI/CD pipelines