2027 Summer Intern - Research and Development - AI/Machine Learning
Core
Conduct original research and develop practical AI/ML methods to accelerate GM's research, engineering, and product development capabilities.
Role type
Summer Research Intern (Ph.D. level)
Builds
Proof-of-concepts (POCs), research prototypes, and experimental pipelines
Domain
Artificial Intelligence, Machine Learning, Large Language Models, Causal AI, Neurosymbolic AI
Deliverable
research
Required skills
Machine learning, deep learning, optimization, probability/statistics, numerical methods, scientific computing, Python, PyTorch, JAX, TensorFlow, experimental design, reproducibility, technical communication
Preferred skills
Causal inference, counterfactual reasoning, neurosymbolic methods, world models, multimodal AI, large language models, agentic systems, automotive/industrial research experience
Technologies
Python, PyTorch, JAX, TensorFlow
Responsibilities
Conduct original research in advanced AI areas; translate engineering challenges into research questions and hypotheses; design, implement, and evaluate ML models; establish baselines and evaluation protocols; build reproducible research code and workflows; collaborate with researchers and engineers; communicate findings via reports and presentations.
Seniority
Intern (Ph.D. candidate)
