Senior ML Validation Engineer

Emploi pas sur LinkedIn

🕒 il y a 5 mois

🏄 California – Distant

🏄 California – Remote

💵 $144 700 - $261 300 / an

⏰ Temps Plein

🟠 Senior

👷🏻‍♀️ Ingénieur

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General Motors

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1908

🚘 Automobile

🏭 Fabrication

🚗 Transport

💰 €500 000 000 Grant en 2024-07

Automotive • Manufacturing • Transport

General Motors est une multinationale de premier plan dans l'industrie automobile, engagée dans la création d'un avenir sans accidents, sans émissions et sans congestion. Avec des opérations et des installations dans le monde entier, GM se concentre sur l'innovation dans divers domaines, notamment l'ingénierie, la fabrication et les technologies de l'information. L'entreprise met l'accent sur la diversité, l'inclusion et le développement de technologies durables pour façonner l'avenir de la mobilité.

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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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.