Note: The job is a remote job and is open to candidates in USA. General Motors is a leading automotive company focused on creating a world with Zero Crashes, Zero Emissions, and Zero Congestion. They are seeking a Senior ML Validation Engineer to lead applied machine learning research aimed at enhancing the verification and validation of ML components used in robotics and autonomous driving systems.
Responsibilities
- Prototype research concepts into performant tools integrated into CI/CD and large-scale validation pipelines
- Advance ML research for open and and closed loop simulation validation
- Develop scenario generation, coverage-guided testing, and rare-event discovery tooling
- Create robust metrics, predictors, uncertainty and Out-of-Distribution detection methods for autonomy ML systems
- Evaluate deep learning modules across perception, prediction, and planning in realistic sensor and traffic simulation
- Improve behavioral coverage and hazard-aligned metrics used in release readiness decision making
- Collaborate with Simulation, Safety, Systems Engineering, and cross-functional partners
- Author technical documentation, white papers, and contribute to validation methodology standards
Skills
- MS + 5 years, or PhD + 3 years in ML, Robotics, Computer Science, or work related experience
- Experience with simulation-driven ML evaluation for robotics/autonomy
- Strong proficiency in Python, PyTorch/JAX/TensorFlow
- Demonstrated ability to translate complex ML research ideas into functional prototypes
- Experience integrating ML evaluation into CI/CD pipelines
- Proven research impact through published work, internal tools, or patents
- Strong communication skills and ability to collaborate cross-functionally
- Experience with autonomy stacks (perception/prediction/planning)
- Familiarity with CARLA, SVL, DriveSim, Applied Intuition, or equivalent simulation platforms
- Knowledge of Bayesian ML, causal inference, and sequential testing
- Experience with digital twin systems and sensor simulation
- Understanding of automotive safety standards (ISO 26262, UL 4600, SOTIF)
- Experience building validation dashboards and scorecards connected to release criteria
Benefits
- Benefit options include medical, dental, vision
- Health Savings Account
- Flexible Spending Accounts
- Retirement savings plan
- Sickness and accident benefits
- Life insurance
- Paid vacation & holidays
- Tuition assistance programs
- Employee assistance program
- GM vehicle discounts
- Health and wellbeing benefit programs
- Benefit options include health and wellbeing benefit programs (from day one)
Company Overview
Company H1B Sponsorship