2026 Fall Intern - Research & Development: AI/ML
Core
Conduct research and experiments applying AI/ML and computational methods to complex vehicle and mobility challenges, supporting areas like vehicle development acceleration, predictive engineering, and vehicle safety.
Role type
PhD-level R&D intern (AI/ML)
Builds
Research methods, models, and tools for vehicle development and engineering outcomes
Domain
Automotive engineering + AI/ML
Deliverable
research
Required skills
Python programming, statistical modeling, data analysis, computational methods, AI/ML fundamentals
Preferred skills
Machine learning model development, physics-based dynamic system modeling, generative AI, large language models, deep learning, experience with vehicle/sensor datasets
Technologies
Python, machine learning frameworks, simulation tools
Responsibilities
Conduct research and experiments to collect data and validate ideas; Apply AI/ML to engineering problems; Support development of methods and workflows; Analyze large datasets to generate insights; Collaborate with technical teams to evaluate emerging technologies; Document and present results including potential publications
Seniority
PhD student, research-focused
