Research Intern, Model Shaping (Summer 2027)
Core
Research and implement novel techniques in post-training methods, efficient neural network training, and robust evaluation of foundation models.
Role type
Research Intern (Model Shaping)
Builds
Services for tailoring open foundation models to downstream applications and new methods for efficient model training/evaluation
Domain
Machine Learning, Natural Language Processing, ML Systems
Deliverable
research
Required skills
Machine Learning fundamentals, Deep Learning fundamentals, PyTorch, JAX, Transformer architecture, foundation models
Preferred skills
Training foundation models, model optimization, hardware acceleration, open-source contributions
Technologies
PyTorch, JAX
Responsibilities
Research and implement novel techniques, Design and conduct rigorous experiments, Document findings in scientific publications and blog posts, Integrate research results into products
Seniority
Intern
