Senior ML Validation Engineer

Job DescriptionThe Senior ML Validation Research Engineer will lead applied machine learning research focused on improving verification and validation of ML components used in robotics and autonomous driving systems. This role centers on simulation-based evaluation, uncertainty modeling, scenario coverage automation, and transforming advanced ML research into working prototypes that enhance the efficiency, accuracy, and coverage of ML system validation.Key ResponsibilitiesPrototype 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.Research Focus AreasScenario synthesis (diffusion models, generative models, counterfactuals)Coverage-based and fuzzing-based evaluation for autonomy behaviorUncertainty estimation, calibration, conformal prediction, OOD detectionRobustness testing and perturbation frameworksTest suite prioritization, failure mining, and regression analysisRequired QualificationsMS + 5 years, or PhD + 3 years in ML, Robotics, Computer Science, or work related experienceExperience with simulation-driven ML evaluation for robotics/autonomyStrong proficiency in Python, PyTorch/JAX/TensorFlowDemonstrated ability to translate complex ML research ideas into functional prototypesExperience integrating ML evaluation into CI/CD pipelinesProven research impact through published work, internal tools, or patentsStrong communication skills and ability to collaborate cross-functionallyPreferred QualificationsExperience 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.Success CriteriaFaster detection of ML regressions with improved test efficiencyImproved uncertainty and robustness metrics that support release decisionsPrototype tools integrated into production validation workflowsTangible contributions to simulation strategy, hazard coverage, and ML confidence scoringCompensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role is $144,700- $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: Benefits: GM offers a variety of health and wellbeing benefit programs. 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 and more. #GM-AV-1 About GMOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.Why Join UsWe believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.Benefits OverviewFrom day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. 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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.AccommodationsGeneral Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at View phone number on click.appcast.io. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.SummaryLocation: Sunnyvale, California, United States of America; Remote - United StatesType: Full time