Senior ML Validation Engineer

🕒 March 6

🏄 California – Remote

🏄 California – Remote

💵 $144.7k - $261.3k / year

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

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General Motors

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1908

🚗 Transport

⚡ Energy

🏢 Enterprise

💰 $500M Grant on 2024-07

Transport • Energy • Enterprise

General Motors is a leading multinational corporation in the automotive industry, committed to creating a future with zero crashes, zero emissions, and zero congestion. With operations and facilities worldwide, GM focuses on innovation across various areas including engineering, manufacturing, and information technology. The company emphasizes diversity, inclusion, and the development of sustainable technologies to shape the future of mobility.

📋 Description

• Lead applied machine learning research focused on improving verification and validation of ML components used in robotics and autonomous driving systems. • 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.

🎯 Requirements

• MS + 5 years, or PhD + 3 years in ML, Robotics, Computer Science, or work related 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. • Preferred Qualifications: 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

• 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.