ML Validation Engineer - Early Career

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. The 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 Responsibilities Prototype 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 stack. Advance ML research for open and closed loop simulation validation. Develop AI‑centric automations to make issue triage and root cause analysis more scalable. 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 Areas Scenario synthesis (diffusion models, generative models, counterfactuals) Coverage‑based and fuzzing‑based evaluation for autonomy behavior Uncertainty estimation, calibration, conformal prediction, OOD detection Robustness testing and perturbation frameworks Test suite prioritization, failure mining, and regression analysis Required Qualifications B.Sc or MS in ML, Robotics, Computer Science, or equivalent work‑related experience. 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. 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. Accommodations General 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 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. #J-18808-Ljbffr