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AI Researcher – Summer Internship
General MotorsAI Research Intern in GM's AI Research team developing algorithms for autonomous driving. Work includes collaboration on advanced machine learning models and prototyping solutions.
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
machine learningdeep learningfoundation modelsvision-language architecturesdiffusion modelsself-supervised learningimitation learningreinforcement learningPythonPyTorch
Soft Skills
collaborationcommunicationtechnical discussioninsight sharing
Tools & Technologies
TensorFlow
Certifications & Qualifications
Ph.D. in Machine LearningPh.D. in Artificial IntelligencePh.D. in Computer Science
Industry Keywords
autonomous drivingperceptionroboticssystems engineeringmultimodal learningAI/ML research
Tech Stack
Tools & technologiesPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Lead research and prototyping of advanced machine learning methods, such as foundation models, vision-language architectures, diffusion models, image/video generation, self-supervised learning, imitation learning, and reinforcement learning.
- Prototype ML models that improve perception, prediction, or decision-making for autonomous driving.
- Collaborate with cross-functional teams, including perception, robotics, and systems engineering.
- Participate in technical discussions, share insights, and work towards publishing results.
Requirements
What you’ll need- Currently pursuing or in the process of obtaining a Ph.D. in Machine Learning, Artificial Intelligence, Computer Science, or a related technical field
- Able to work fulltime during the academic summer break
- Solid understanding of modern machine learning techniques, especially deep learning architectures (e.g., transformers, generative models, multimodal learning)
- Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
- Research experience in AI/ML, demonstrated through coursework, academic projects, or publications
Benefits
Comp & perks- Flexible work arrangements
- Professional development