Research Intern, Inference (Summer 2027)

Together AI is an AI Native Cloud company providing scalable inference, fine-tuning, reinforcement learning, and pre-training for open foundation models. The Research Intern will investigate and implement efficient, scalable, and reliable inference optimizations across models, systems, and hardware, while designing experiments and communicating findings through presentations, publications, and blog posts.

What you'll do:

• Design and conduct rigorous experiments to validate hypotheses
• Communicate the plans, progress, and results of projects to the broader team
• Document findings in scientific publications and blog posts

What they're looking for:

• Currently pursuing a final year of 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.)
• Strong programming skills in Python
• Familiarity with Transformer architectures and recent developments in foundation models
• Prior research experience in **foundation models**, **efficient machine learning**, or **ML systems**
• Publications at leading conferences in machine learning or systems (i.e., **MLSys, ICLR**)
• Experience with CUDA programming (for kernel development)
• Understanding of model optimization techniques and hardware acceleration approaches
• Contributions to open-source machine learning projects

Benefits:

• Housing stipends
• Other competitive benefits