Research Intern, Model Shaping (Fall 2026)

📋 Description

• Research and implement novel techniques in focus areas
• Design and run rigorous experiments to validate hypotheses
• Document findings in publications and blog posts
• Integrate research results into Together products
• Explore post-training methods across supervised learning, RL, and preferences
• Develop scalable training methods (e.g., distributed training)

🎯 Requirements

• Pursuing BS/MS/PhD in CS, EE, or related field
• Strong ML and DL fundamentals
• Experience with DL frameworks (PyTorch, JAX)
• Familiarity with Transformer architecture and foundation models
• Prior research on training foundation models or efficient ML
• Publications at ML/NLP conferences (NeurIPS, ICML, ICLR, ACL, EMNLP)

🎁 Benefits

• Housing stipends
• Other competitive benefits