About the role#
As a Machine Learning Engineer intern within the AV/AI Platform organization, you will contribute to the software foundation and engineering tools that power autonomous driving and advanced driver-assistance systems. You will work alongside model teams to build a state-of-the-art AI training platform, focusing on maximizing model performance and accelerating iteration speed. This role involves enhancing the data flywheel, which includes data processing, evaluation, and deployment loops to improve autonomous driving capabilities.
What you'll do#
- Develop and optimize AI training platform capabilities and improve data processing pipelines.
- Accelerate model training and inference workflows while enhancing testing infrastructure.
- Support tool development, instrumentation, and system monitoring to boost reliability, reduce latency, and increase iteration speed.
- Build scalable infrastructure to support model training, model deployment to edge devices, egression, rules-based models, operations, and inference.
- Suggest, collect, and synthesize requirements, working with managers or tech leads to create feature roadmaps.
- Code deliverables in collaboration with the engineering team.
- Adapt standard machine learning methods to exploit modern parallel environments, including distributed clusters, multicore SMP, and GPU.
What you'll need#
- Currently enrolled in a full-time, degree-seeking program pursuing a bachelor's or master's degree in computer science, artificial intelligence, machine learning, robotics, engineering, or a related STEM field.
- Graduation date between December 2027 and August 2029, with at least one additional quarter or semester of school remaining after the internship.
- Availability to work full-time (40 hours per week) during the 12-week summer internship period.
- Strong foundation in algorithms and data structures.
- Proficiency in C++, Python, or another object-oriented programming language.
- Demonstrated coursework, project, research, or applied experience in artificial intelligence or machine learning.
- Experience with algorithms, software development, or systems engineering fundamentals.
- Strong written and verbal communication skills and the ability to collaborate across teams.
Location & details#
- Location: Sunnyvale, California.
- Term: Summer 2027.
- Work Modality: Hybrid (expected to report to the office up to three times per week).
- Employment: Full-time, paid internship.
About General Motors
General Motors is a public company based in Detroit, Michigan. It operates in the motor vehicle manufacturing industry. The company employs over 106,000 people. Its work spans the design and production of cars, trucks, and transportation technology, including software, electrification, and AI.
How to get in at General Motors
Securing an internship at General Motors requires a proactive approach to the application timeline. Because early applicants are often reviewed before the volume of candidates becomes unmanageable, Intern Insider sends an instant alert the moment a role matching your target is published. This allows you to submit your materials among the first group of applicants. Reaching out to the right person can also change your outcome. Intern Insider surfaces the recruiters behind the company's roles, which lets you contact them directly to ask about the position or a potential referral. This direct connection often improves response rates compared to submitting an application into a general queue.
