onsite
ML Validation Engineer - Early Career - General Motors
Software Engineer
Entry‑level ML Validation Engineer focused on simulation‑based testing, performance monitoring, and uncertainty modeling for autonomous driving and robotics systems, turning research into production‑ready prototypes.
About the role
Key Responsibilities
- Design and execute simulation‑based validation tests for ML components in robotics and autonomous driving.
- Develop performance monitoring dashboards and metrics to track model accuracy and reliability.
- Implement uncertainty modeling techniques to quantify prediction confidence.
- Automate scenario coverage to ensure comprehensive testing across edge cases.
- Collaborate with research and engineering teams to translate advanced ML research into production prototypes.
Requirements
- Strong programming skills in Python and experience with ML libraries (e.g., TensorFlow, PyTorch).
- Familiarity with simulation tools and robotics frameworks.
- Knowledge of performance monitoring, uncertainty quantification, and test automation.
- Excellent analytical and problem‑solving abilities.
- Effective communication skills for cross‑functional collaboration.
Skills
pythonmachine learning