ML Validation Engineer - Early Career

General Motors; Sunnyvale (CA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

General Motors seeks an ML Validation Research Engineer (Early Career) to advance verification and validation of ML components in robotics and autonomous driving. The role focuses on simulation-based evaluation, uncertainty modeling, scenario generation, and translating ML research into production-ready tools within CI/CD pipelines.

Responsibilities include developing AI-centric automation for issue triage, improving observability, and contributing to validation methodology with cross-functional

Qualifications

• B.Sc or MS in ML, robotics, CS or related field.
• Strong Python and ML framework experience.
• Ability to translate ML research ideas into functional prototypes.
• Experience integrating ML evaluation into CI/CD pipelines.

Responsibilities

• Prototype research concepts into performant tools integrated into CI/CD pipelines.
• Develop AI tools to improve performance monitoring and observability for autonomous vehicle stack.
• Advance ML research for simulation validation and coverage.
• Develop AI-centric automations to scale issue triage and root cause analysis.
• Create scenario generation and rare-event discovery tooling.
• Develop metrics, predictors, uncertainty and OOD detection methods for autonomy ML systems.
• Evaluate deep learning modules across perception, prediction, and planning in realistic simulation.
• Collaborate with cross-functional partners and author technical docs.

Skills

Python

PyTorch

JAX

TensorFlow

CI/CD pipelines

Education

B.Sc or MS in ML, Robotics, CS

Tools

CI/CD pipelines

Job description

## ML Validation Engineer - Early CareerApplyremote type: Hybridlocations: Sunnyvale, California, United States of Americatime type: Full timeposted on: Posted 16 Days Agojob requisition id: JR-202605769**Job Description**The **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 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 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 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**About GM**Our 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 Overview**From 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**.**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 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.