Research Intern, Model Shaping (Summer 2026)

Together AI • San Francisco, CA

4d • $58 - $63

About The Position

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 papers:
Escaping the Verifier: Learning to Reason via Demonstrations
​​FFT-based Dynamic Subspace Selection for Low-Rank Adaptive Optimization of Large Language Models

Requirements

• 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.)
• Strong programming skills in Python
• Familiarity with Transformer architectures and recent developments in foundation models

Nice To Haves

• Prior research experience with 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

Responsibilities

• 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
• Communicate the plans, progress, and results of projects to the broader team

Benefits

• We offer competitive compensation, housing stipends, and other competitive benefits.
• The estimated US hourly rate for this role is $58-63/hr.
• Our hourly rates are determined by location, level and role.
• Individual compensation will be determined by experience, skills, and job-related knowledge.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Number of Employees: 101-250 employees