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Senior AI/ML Engineer

  • Emplacement
    • Mountain View, California
  • Type d'emploi Full time
  • Posté
  • Job Requisition JR-202611451

Description

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.

Are you passionate about pushing the boundaries of multimodal artificial intelligence and seeing your models run on physical, real-world systems? As a Senior Research Scientist specializing in Vision-Language Models (VLMs) and Vision-Language-Action models (VLAs), you will be a key contributor in the AI Research organization. You will focus on advancing the frontier of machine learning to solve complex, open-ended problems in autonomous driving.

In this role, you will design, train, and prototype state-of-the-art foundational models that enable our vehicles to understand complex driving environments, reason through difficult edge cases, and map visual-textual inputs directly to safe driving actions. Your primary challenge will be balancing high-capacity AI reasoning with the stringent latency and compute constraints of onboard vehicle hardware. You will actively contribute to our technical direction, collaborate with deployment teams, and publish your findings at top-tier global AI conferences.

What You’ll Do

  • Research, design, and implement advanced Vision-Language Models and Vision-Language-Action models to enhance the autonomous vehicle’s semantic understanding and decision-making capabilities.

  • Develop and execute techniques for onboard model optimization, including quantization, distillation, and architecture search, to ensure large foundational models run efficiently on vehicle edge hardware.

  • Partner closely with downstream engineering teams (perception, planning, and control) to integrate foundational VLM/VLA outputs into the active vehicle software stack.

  • Contribute to the technical roadmap by identifying high-impact research areas and translating strategic machine learning priorities into concrete, actionable prototypes.

  • Provide technical mentorship to junior researchers and engineers, fostering a culture of excellence and collaborative innovation.

  • Secure intellectual property through patents and represent the company externally by publishing peer-reviewed research at top-tier machine learning 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 a GM office, you are expected to report to that location 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. 

  • 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. 

#GM-AV-1

Renseignements sur la diversité

General Motors est résolue à être un lieu de travail qui est non seulement exempt de discrimination illégale, mais aussi un endroit qui favorise véritablement l'inclusion et l'appartenance. Nous sommes convaincus que la diversité de la main-d'œuvre permet de créer un environnement dans lequel nos employés peuvent s'épanouir et développer de meilleurs produits pour nos clients. Nous encourageons les candidats intéressés à consulter les principales responsabilités et compétences requises pour chaque rôle et à postuler à tout poste qui leur correspond. Dans le cadre du processus de recrutement, les candidats peuvent devoir, le cas échéant, réussir une évaluation liée au poste ou une présélection d'emploi avant d'être embauchés.  Pour en savoir plus, consultez notre processus de recrutement.

Déclaration concernant l'égalité d'accès à l'emploi (É.-U.)

General Motors est fière d'être un employeur souscrivant au principe de l'égalité d'accès à l'emploi.  Tous les candidats qualifiés seront pris en compte, sans égard à la race, à la couleur, à la religion, au sexe, à l'orientation sexuelle, à l'identité de genre, à l'origine ethnique, aux situations de handicap ou au statut protégé d'ancien combattant. 

Aménagements (É.-U. et Canada)

General Motors offre des occasions à tous les chercheurs d'emploi, y compris les personnes handicapées. Si vous avez besoin d'un accommodement raisonnable pour vous aider dans votre recherche d'emploi ou la soumission de votre candidature, envoyez-nous un courriel à l'adresse [email protected] ou appelez-nous au 800 865-7580. Veuillez inclure dans votre courriel une description spécifique du type d'accommodement demandé, ainsi que le titre d'emploi et le numéro de demande du poste auquel vous postulez.