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Senior Research Scientist

  • Localização
    • Sunnyvale, California
  • Tipo de trabalho Full time
  • Postou
  • Job Requisition JR-202602537

Descrição

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.  

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Role : As a Senior Research Scientist in the AI Research organization, you will be advancing the frontier of machine learning to solve challenging problems in autonomous driving. You will design state-of-the-art algorithms that open new possibilities for our vehicles. Additionally, you will help shape technical directions, mentor, and publish at top conferences. 

About the Organization : The AI Research team advances the state-of-the-art in AI for autonomous vehicles. We research, design, and prototype advanced AI/ML techniques (e.g., foundation models, VLAs, diffusion, image/video generation, self-supervised learning, IL, RL) that help our vehicles unlock new autonomous capabilities. Join a collaborative and innovative team redefining autonomy. 

What You’ll Do  

  • Research, design, and prototype advanced ML approaches (e.g., foundation models, VLAs, diffusion, image/video generation, self-supervised learning, IL, RL) to advance the state-of-the-art in autonomous driving. 

  • Influence technical roadmaps, shaping strategic ML priorities aligned with company objectives and product milestones.  

  • Provide technical mentorship and vision.  

  • Collaborate closely with multidisciplinary engineering groups, helping foster ML innovation across teams. 

  • Represent GM externally through publications, patents, and participation in top conferences.  

Your Skills & Abilities (Required 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  

What Will Give You A Competitive Edge (Preferred Qualifications)  

  • Demonstrated research impact in AI/ML technologies either through important publications in top conferences or demonstrated contribution to industry leading systems.  

  • AV/ADAS experience 

Remote:  This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum. 

Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.  

  • The salary range for this role is $170,600.00 to $261,300.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. 

  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. 

Benefits:  

  • 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. 

This job may be eligible for relocation benefits. 

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Informações sobre diversidade

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Adaptações (EUA e Canadá)

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