Fall Intern – Research & Development, AI​/ML

Responsibilities

• Conduct research and/or experiments to collect required data and validate research ideas
• Apply AI/ML, data science, and computational methods to engineering and research problems
• Support development of methods, models, tools, or workflows that accelerate vehicle development and research outcomes
• Assist with analysis of large, complex datasets to generate insights and improve prediction, automation, or decision-making
• Collaborate with technical teams to evaluate emerging technologies and identify opportunities for application in automotive research
• Document and present results; depending on the assignment, work may lead to external publications and/or intellectual property
• Develop and execute specific research plans, including concept generation, development, implementation, and validation
• Collaborate effectively with peers, management, operations groups, and outside organizations

• U.S. citizenship required to comply with federal government contract provision expressly restricting role to U.S. citizens
• Must be currently enrolled in a PhD program
• Pursuing a degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Mechanical Engineering, Robotics, Applied Mathematics, or a closely related science/engineering field
• Strong foundation in AI/ML, statistical modeling, data analysis, or computational methods
• Programming experience in Python and/or other relevant languages for machine learning, analytics, or scientific computing
• Ability to work both independently and in teams
• Consistently demonstrate critical thinking and strong teamwork
• Effective verbal and written communication skills
• Excellent persuasion, active listening, delegation, and leadership skills to work effectively with GM internal and external customers