Leverage AI/ML techniques to scale testing, classify autonomy performance, and mine critical scenarios, integrating human-in-the-loop where appropriate.
Collaborate with engineers to integrate ML models into simulation tests and evaluation pipelines.
Ramp up quickly on the codebase and domain; deliver assigned tasks efficiently with few iterations.
Develop, test, and deploy production-ready code across components of our simulation infrastructure.
Define problem statements and implement optimal, tradeoff-aware solutions that cover edge cases.
Collaborate with cross-functional stakeholders, contribute to design and code reviews, and ensure seamless integration through clear communication.
Currently pursuing a Bachelor's Degree in computer science, artificial intelligence, machine learning, robotics, engineering, or a related STEM field.
Must have at least one additional quarter/semester of school remaining following the completion of the internship
Solid understanding of modern machine learning techniques
Demonstrated coursework, research, or projects in AI/ML.
Strong programming skills in Python.
Able to work full-time, 40 hours per week.
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.
Currently pursuing a master's degree in computer science, artificial intelligence, machine learning, robotics, engineering, or a related STEM field.
Exposure to deep learning architectures such as Transformers, CNNs, or diffusion models.
Hands-on experience with one or more machine learning frameworks, such as PyTorch, TensorFlow, JAX, or Keras.
Background in robotics and computer vision gained through projects or research.
Familiarity with multimodal learning or working with sensor data.
Interest in contributing to publications, open-source projects, or patents.
Knowledge of systems programming languages, such as C++ or Java, is a plus.
Intent to return to a degree program after completing the internship.
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 $8,100-$9,600 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.
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
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.
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