2026 Summer Intern – AI/ML Software Engineer (Master's)
General Motors is a leader in automotive innovation, and they are seeking an AI/ML Software Engineer intern to assist in the development and evaluation of AI/ML tools for autonomous vehicle software validation. The intern will collaborate with senior engineers and work on simulation testing to enhance the performance of autonomous driving systems.
Responsibilities
- Quickly ramp up on assigned codebase, product area, and/or system
- Meet with the cross-functional stakeholders working on code in your assigned area
- Develop data pipelines to curate inputs, manage ground truth, and aggregate results across large experiment runs
- Build validation metrics that produce clear pass/fail signals and confidence intervals for ML model behavior in simulation
- Enhance AI/ML validation frameworks and tools for autonomous vehicle software systems
- Leverage vision-language models (VLMs) and large language models (LLMs) to classify autonomy performance, mine critical scenarios, and prioritize validation efforts, integrating human-in-the-loop where appropriate
- Complete assigned tasks efficiently with few iterations
- Develop, test, and deploy production-ready code across components of our simulation infrastructure
- Identify problem statements, outline optimal solutions, account for tradeoffs and edge cases
- Participate in code reviews, technical discussions, and design reviews
- Collaborate with cross-functional teams to ensure seamless software integration
- Communicate effectively across multiple stakeholders
Skills
- Currently pursuing or in the process of obtaining a Master's in Machine Learning, Artificial Intelligence, Computer Science, or a related technical field
- Solid understanding of modern machine learning techniques
- Demonstrated coursework, research, or projects in AI/ML
- Strong programming skills in Python
- Able to work fulltime, 40 hours per week
- Exposure to deep learning architectures such as Transformers, CNNs, or Diffusion Models
- Hands-on experience with one or more machine learning frameworks (e.g., PyTorch, TensorFlow, JAX, or Keras)
- Experience with robotics, computer vision through projects or research
- Familiarity with multimodal learning or working with sensor data
- Interest in contributing to publications, open-source projects, or patents
- Familiarity with systems programming languages (e.g., C++ or Java) is a plus
- Intent to return to degree-program after the completion of the internship
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
Company Overview
Company H1B Sponsorship