Description
About the role
As a PhD AI/ML Engineering Intern within General Motors’ Autonomous Vehicles organization, you will advance reliable AI/ML capabilities by translating deep research into validated, production-oriented systems. Your work may support perception, prediction, planning, decision-making, embodied AI, simulation, sensor understanding, mapping, or large-scale model development. You will work with real-world driving and sensor data, modern machine learning methods, and autonomous vehicle evaluation environments. You will collaborate with researchers and engineers to design experiments, build and assess models, investigate failure cases, and integrate promising approaches into broader AV systems.
What you’ll do
- Research and prototype advanced machine learning methods for perception, prediction, planning, or decision-making.
- Design, train, evaluate, and improve models using large-scale multimodal driving and sensor data.
- Build data pipelines, experimentation workflows, and evaluation tools for rapid model iteration.
- Validate models through simulation, testing, performance analysis, and failure-case investigation.
- Optimize models and systems for scalability, latency, reliability, and deployment constraints.
- Collaborate with engineering and research partners to integrate prototypes into autonomous vehicle systems.
- Document findings, present technical insights, and contribute to publications or other research outputs.
Required qualifications
- Currently enrolled full-time in a PhD program in computer science, machine learning, artificial intelligence, robotics, engineering, or a related STEM field.
- Must have at least one additional quarter/semester of school remaining following the completion of the internship
- Demonstrated depth of AI/ML research through publications, research projects, advanced coursework, or equivalent technical work.
- Strong understanding of modern machine learning and deep learning methods.
- Proficiency in Python and hands-on experience with an ML framework such as PyTorch, TensorFlow, or JAX.
- Experience designing experiments, analyzing results, and applying quantitative problem-solving methods.
- Strong programming, debugging, and software development fundamentals.
- Strong communication skills and the ability to collaborate across research and engineering disciplines.
- Availability to work full-time, 40 hours per week, during the internship period.
Preferred qualifications
- Candidates are not expected to meet every qualification listed below. Depending on the needs of a specific Autonomous Vehicles team, a combination of these skills and areas of knowledge may be relevant.
- Conduct research in autonomous vehicles, ADAS, robotics, computer vision, or embodied AI.
- Demonstrate knowledge of foundation models, transformers, generative and diffusion models, or vision-language architectures.
- Apply multimodal learning techniques to camera, lidar, radar, or other sensor data.
- Use self-supervised, imitation, reinforcement, or deep reinforcement learning methods.
- Train models on large-scale datasets using distributed, parallel, or high-performance computing environments.
- Develop ML systems, data pipelines, experimentation frameworks, or production-oriented model infrastructure.
- Validate models through simulation, closed-loop environments, or real-world driving scenarios.
- Apply expertise in trajectory prediction, behavior planning, motion planning, perception, mapping, or structured scene understanding.
- Program in C++ or other systems programming languages.
- Optimize models and systems using GPU programming, CUDA, accelerator frameworks, or performance profiling.
- Apply numerical optimization, statistical estimation, probabilistic modeling, and systems-level tradeoff analysis.
- Demonstrate a strong research record through first-authored publications, grants, fellowships, patents, or open-source contributions.
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 $12,300-$14,600 per month. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
- GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program - to help facilitate administration of relocation benefits, please apply using the permanent address you would move from.
What you’ll get from us (Benefits):
- Paid US GM Holidays
- GM Family First Vehicle Discount Program
- Result-based potential for growth within GM
- Intern events to network with company leaders and peers
Work Arrangement:
- Start dates for this internship role are May 24th and June 14th of 2027.
- Assignments will be based on team placement to ensure interns are located with their working team and leader.
- Hybrid : This role is categorized as hybrid. This means the successful candidate is expected to report to their designated work location three times per week, at minimum.
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.