Research Intern, Model Shaping (Winter 2027)

Together AI is an AI-native cloud company providing inference, fine-tuning, reinforcement learning, and pre-training services for open foundation models. The Research Intern will develop and evaluate techniques for post-training, efficient neural network training, and foundation model capabilities, integrating research results into Together AI products.

What you'll do:

• Research and implement novel techniques in one or more of our focus areas
• Design and conduct rigorous experiments to validate hypotheses
• Document findings in scientific publications and blog posts
• Integrate the research results into Together products

What they're looking for:

• Currently pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field
• Strong knowledge of Machine Learning and Deep Learning fundamentals
• Experience with deep learning frameworks (PyTorch, JAX, etc.)
• Familiarity with the Transformer architecture and recent developments in foundation models
• Prior research experience with training foundation models or efficient machine learning
• Publications at leading ML and NLP conferences (such as NeurIPS, ICML, ICLR, ACL, or EMNLP)
• Understanding of model optimization techniques and hardware acceleration approaches
• Contributions to open-source machine learning projects

Benefits:

• Housing stipends
• Other competitive benefits