2026 Summer Intern, Machine Learning… at General Motors · Sunnyvale

Summary: General Motors is seeking a 2026 Summer Intern for their Machine Learning Engineer role within the Trajectory Generation team. The intern will work on research or engineering projects that enhance the team's ML-driven planning stack, collaborating closely with senior engineers and gaining hands-on experience with production autonomous driving systems. Responsibilities: - Implement and experiment with neural network architectures for trajectory prediction, behavior planning, or mission planning tasks - Build data pipelines and visualization tools to process, analyze, and evaluate large-scale driving datasets - Train and benchmark ML models using distributed compute infrastructure, running ablation studies to optimize performance - Validate models in simulation environments and analyze failure cases across diverse driving scenarios - Participate in code reviews, team meetings, and technical discussions while documenting experiments and results - Contribute to production codebases by prototyping new approaches for handling challenging driving situations like merges or complex intersections Required Qualifications: - Currently enrolled in a Masters program in Computer Science, Machine Learning, Robotics, or a related STEM field - Hands-on experience with one or more machine learning frameworks (e.g., PyTorch, TensorFlow, JAX, or Keras) - Availability to work full-time (40 hours per week) during the internship period - Demonstrated coursework, research., or projects in AI/ML - Strong programming skills in Python Preferred Qualifications: - Exposure to deep learning architectures such as Transformers, CNNs, or Diffusion Models - Exposure to deep reinforcement learning algorithms such as PPO, DQL, and distributional adaptations - Experience with robotics through projects or research - Familiarity with multimodal learning or working with complex, temporal data - Interest in contributing to publications, open-source projects, or patents - Familiarity with systems programming languages (e.g., C++ or Java) is a plus - Intent to return to degree-program after the completion of the internship - Graduating between December 2026 and June 2027 Required Skills: Machine Learning, Deep Learning, Python Important Skills: PyTorch, Data Pipelines, Neural Networks Nice-to-Have Skills: Technical Discussions, Team Collaboration, Documentation Internship Start Date: Start in 2026 Summer 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