Senior AI Research Scientist: Autonomous Driving (Remote)

General Motors LLC; Sunnyvale (CA); Remote; USD 171,000 - 261,000; Full time

Benefits offered by this job

Relocation benefits

Health & wellbeing benefits

GM vehicle discounts

Job summary

General Motors is seeking a Senior Research Scientist in the AI Research organization to push the frontier of machine learning for autonomous driving. You will design state-of-the-art algorithms, influence roadmaps, mentor teams, and publish at leading conferences.

The role emphasizes collaboration with engineering groups and external representation through publications and patents, with remote work options and location-based considerations in the US.

Qualifications

• Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field.
• 2+ years of experience in AI/ML research and applied development.
• Expertise in modern ML architectures (transformers, generative AI, multimodal systems).
• Strong programming skills in Python.
• Strong communication, collaboration, and mentoring abilities.

Responsibilities

• Research, design, and prototype advanced ML approaches to advance autonomous driving.
• Influence technical roadmaps and ML priorities aligned with company objectives.
• Provide technical mentorship and vision.
• Collaborate with multidisciplinary engineering groups to foster ML innovation.
• Represent GM externally through publications, patents, and top conferences.

Skills

ML research

Python programming

Transformers

Generative AI

Multimodal systems

Mentoring

Collaboration

Education

Ph.D. in Machine Learning or related field

Job description

General Motors is seeking a Senior Research Scientist in the AI Research organization to push the frontier of machine learning for autonomous driving. You will design state-of-the-art algorithms, influence roadmaps, mentor teams, and publish at leading conferences.

The role emphasizes collaboration with engineering groups and external representation through publications and patents, with remote work options and location-based considerations in the US.