Research Intern, Together AI

• 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

Desirable

• As a Research Intern in the Model Shaping team, you will work on one or more of the following areas:
• Advanced post-training methods across supervised learning, preference optimization, and reinforcement learning
• New techniques and systems for efficient training of neural networks (e.g., distributed training, algorithmic improvements, optimization methods)
• Robust and reliable evaluation of foundation model capabilities
• The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications
• We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data
• In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems
• Past research led by Model Shaping interns resulted in the following publications:
• Escaping the Verifier: Learning to Reason via Demonstrations (ICML 2026)
• Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking (ICML 2026)
• ​​FFT-based Dynamic Subspace Selection for Low-Rank Adaptive Optimization of Large Language Models (ICLR 2026)
• 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
• Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort's internship dates span January 4th to April 9th either in our San Francisco or Amsterdam Office