2026 Summer Internship - AI/ML Research Intern - ...

Job Description To facilitate the administration of relocation benefits, please apply using your permanent address. Work Arrangement: Hybrid: This internship requires reporting to the office up to three times a week, or as determined by the team. About the Team: The AI Research organization is committed to pushing the boundaries of AI for autonomous vehicles. We are a collaborative and innovative group of researchers and engineers tackling complex challenges in autonomy and machine learning. About the Role: As a VLM/VLA Research Intern on the AI Research team, you will be at the forefront of Embodied AI, developing foundational models that connect high-level reasoning with physical execution. Your focus will be on enhancing vision-language-action architectures to address critical challenges in data mining and end-to-end autonomous driving. This position presents a unique opportunity to work on scalable real-world AI/ML systems and to collaborate with and receive mentorship from leading researchers in the field of grounded foundation models for the autonomous vehicle sector. What You'll Do: Lead the development of embodied foundation models and vision-language-action architectures that integrate multimodal perception with robotic control. Prototype and refine ML models that employ VLA architectures to enhance decision-making and reasoning for autonomous vehicles through imitation and reinforcement learning. Utilize vision-language models and generative techniques to enhance the understanding of complex driving scenarios. Collaborate with perception, robotics, and systems engineering teams to integrate VLA research into the broader autonomous stack and validate models in closed-loop environments. Participate in high-level technical brainstorming, share insights across the AI Research organization, and contribute to academic publications in top-tier conferences. Required Qualifications: Currently pursuing or nearing completion of a Ph.D. in Machine Learning, Artificial Intelligence, Computer Science, or a related technical field. Strong grasp of modern machine learning techniques, particularly deep learning architectures. Proficiency in Python and ML frameworks, such as PyTorch or TensorFlow. Research experience in AI/ML, evidenced through coursework, projects, or publications. Exceptional problem-solving abilities and a collaborative mindset. Excellent communication and presentation skills. Experience working in a team-oriented environment. Able to commit to a full-time schedule (40 hours per week). Preferred Qualifications: Knowledge of autonomous vehicles or advanced driver assistance systems (ADAS). Experience with large-scale datasets and training ML models in high-performance computing setups. Experience adapting foundational models for embodied control tasks. Intent to return to degree program following the internship. Track record of significant achievements, such as grants, fellowships, patents, or publications in leading conferences. Self-driven motivation in solving analytical problems using quantitative methods. Experience building systems leveraging machine learning, reinforcement learning, and deep learning techniques. Compensation: The monthly salary for this role is $13,100. GM will offer a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program. What You'll Get from Us (Benefits): Paid US GM Holidays. GM Family First Vehicle Discount Program. Potential for growth within GM based on results. Opportunities to network with company leaders and fellow interns through events. About GM Our vision is a world with Zero Crashes, Zero Emissions, and Zero Congestion, and we are committed to leading the change to make the world better, safer, and more equitable for everyone. Why Join Us We believe in making choices every day—not just as individuals but collectively—to drive meaningful change. Our aim is for every employee to feel like a valued member of the General Motors team. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is dedicated to being a workplace that is free from unlawful discrimination and promotes inclusion and belonging. We believe providing an inclusive environment helps our employees thrive and develop better products for our customers. We encourage interested candidates to examine the responsibilities and qualifications for each role and apply for positions that fit their skills. Accommodations GM is committed to providing opportunities to all job seekers, including individuals with disabilities. If you need reasonable accommodation for your job search or application, please email us and include a description of the specific accommodation you require. We are dedicated to leading change through technology and the creativity of our diverse team. Join us to help make the world better, safer, and more equitable for all.

Created: 2026-03-04