描述
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 an 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 implement and experiment with state-of-the-art algorithms that open new possibilities for our vehicles. You will contribute to GM’s autonomous vehicles platform and co-author publications 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, diffusion, image/video generation, self-supervised learning, IL, RL) to advance the state-of-the-art in autonomous driving.
-
Collaborate closely with multidisciplinary engineering groups, helping foster ML innovation across teams.
-
Represent GM externally through publications, patents, and participation in top conferences.
-
Participate in code reviews, documentation, technical discussions, and academic literature review to support engineering quality and knowledge sharing.
Your Skills & Abilities (Required Qualifications):
-
Bachelor’s, Master’s, or Ph.D. in Machine Learning, Robotics, Computer Science or a related technical field.
-
Strong programming skills in Python and PyTorch with an ability to produce high-quality, production-ready code.
-
Experience applying machine learning techniques to real-world systems or large-scale datasets.
-
Experience working with model training pipelines or large-scale data processing workflows.
-
Proficiency with ML building blocks (eg MLPs, transformers, loss functions).
-
Ability to communicate and collaborate effectively within cross-functional engineering teams.
What Will Give You A Competitive Edge (Preferred Qualifications):
-
Experience publishing AI/ML research in top conferences
-
AV/ADAS experience
-
Experience productionizing reinforcement learning training pipelines
Remote: This role is based remotely but if you live within a 50-mile radius of a General Motors 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 $218,800.00 to $335,300.00. 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.
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.
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.