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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.
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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdeep learningfoundation modelsvision-language architecturesdiffusion modelsself-supervised learningimitation learningreinforcement learningPythonPyTorch
Soft Skills
collaborationcommunicationtechnical discussioninsight sharing
Certifications
Ph.D. in Machine LearningPh.D. in Artificial IntelligencePh.D. in Computer Science