AI/ML Software Engineer intern at GM developing simulation tests and evaluation metrics for autonomous vehicles. Collaborating with cross-functional teams to enhance software systems and validation frameworks.
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.
Requirements
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 (preferred).
Hands-on experience with one or more machine learning frameworks (e.g., PyTorch , TensorFlow, JAX, or Keras ) (preferred).
Experience with robotics, computer vision through projects or research (preferred).
Familiarity with multimodal learning or working with sensor data (preferred).
Interest in contributing to publications, open-source projects, or patents (preferred).
Familiarity with systems programming languages (e.g., C++ or Java) is a plus (preferred).
Intent to return to degree-program after the completion of the internship (preferred).
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
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