[Remote] Senior ML Validation Engineer

About the Role

General Motors is seeking a Senior ML Validation Research Engineer to lead applied machine learning research focused on improving verification and validation of ML components used in robotics and autonomous driving systems. The role involves simulation-based evaluation, uncertainty modeling, and transforming advanced ML research into working prototypes to enhance the efficiency and accuracy of ML system validation. This is a remote position open to candidates in the USA.

Responsibilities

• Prototype research concepts into performant tools integrated into CI/CD and large-scale validation pipelines
• Advance ML research for open 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 with 5 years, or PhD with 3 years in ML, Robotics, Computer Science, or related work 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

• 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

Company Overview

General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts. Founded in 1908 and headquartered in Detroit, Michigan, USA, GM has a global workforce of over 10,000 employees. Learn more at https://www.gm.com.

Company H1B Sponsorship

General Motors has a history of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role.

Location

Remote (USA)