General Motors
Description
As a Staff AI/ML Engineer 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. 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)
5+ years of experience in AI/ML research and applied development.
Deep expertise in modern ML architectures (transformers, generative AI, multimodal systems).
Strong programming skills in Python.
Excellent communication, collaboration, and mentoring abilities, comfortable influencing technical strategy and guiding ML excellence across the organization.
What Will Give You A Competitive Edge (Preferred Qualifications)
Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field, or the equivalent.
Demonstrated research impact in AI/ML technologies either through important publications in top conferences or demonstrated contribution to industry‑leading systems.
AV/ADAS experience.
Hybrid This role is categorized as hybrid. This means the successful candidate is expected to report to the Mountain View Technical Center three times per 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 the California Bay Area.
Salary range: $198,900.00 to $304,800 USD. 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
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.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
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About the Organization The AI Research team advances the state‑of‑the‑art in AI for autonomous vehicles. 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)
5+ years of experience in AI/ML research and applied development.
Deep expertise in modern ML architectures (transformers, generative AI, multimodal systems).
Strong programming skills in Python.
Excellent communication, collaboration, and mentoring abilities, comfortable influencing technical strategy and guiding ML excellence across the organization.
What Will Give You A Competitive Edge (Preferred Qualifications)
Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field, or the equivalent.
Demonstrated research impact in AI/ML technologies either through important publications in top conferences or demonstrated contribution to industry‑leading systems.
AV/ADAS experience.
Hybrid This role is categorized as hybrid. This means the successful candidate is expected to report to the Mountain View Technical Center three times per 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 the California Bay Area.
Salary range: $198,900.00 to $304,800 USD. 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
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.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#J-18808-Ljbffr