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