Research Intern, Model Shaping (Summer 2027)

The role

You will research and implement novel techniques in areas such as post-training methods, efficient training of neural networks, and evaluation of foundation model capabilities. You will design experiments, document findings, and integrate results into products.

What you will 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

Required qualifications

• 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

Nice to have

• 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

• Competitive compensation
• Housing stipends
• Other competitive benefits

Before you apply

• Candidates are limited to 6 applications within a 90-day period

About the company

Together AI is the AI Native Cloud purpose-built for AI engineers. It provides high-performance inference, fine-tuning, reinforcement learning, and pre-training at massive scale.