Job DescriptionThe 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. This role centers on simulation-based evaluation, performance monitoring and issue observability, 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.Develop AI-tools to improve performance monitoring and observability for autonomous vehicle stackAdvance ML research for open and and closed loop simulation validation.Develop AI-centric automations to make issue triage and root cause analysis more scalableDevelop 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 Qualifications B.Sc or MS in ML, Robotics, Computer Science, or work related experienceStrong 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-functionally 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 Us We 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. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.Non-Discrimination and Equal Employment Opportunities (U.S.)General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 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, email us or call us at 1-800-865-7580. 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.