Research Intern, Model Shaping (Summer 2027)
Join Together AI as a Research Intern to work on advanced machine learning techniques and contribute to innovative model shaping projects.
Posted by employer 16 hours ago
First seen on Joblaze 2 hours ago
Last verified on the company career page 2 hours ago
Skills & Technologies
What you'll build
- Research and implement novel techniques
- Design and conduct experiments
- Document findings in publications
- Integrate research results into products
Must have
- 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
Nice to have
- Prior research experience with training foundation models
- Publications at leading ML and NLP conferences
- Understanding of model optimization techniques
- Contributions to open-source machine learning projects
Requirements
- Education
- Bachelor's degree
Not disclosed in this posting: years of experience, visa sponsorship.
Benefits
Joblaze summary
In the role of Research Intern on the Model Shaping team, the intern will engage in developing and implementing innovative techniques for enhancing machine learning models, focusing on areas like supervised learning and reinforcement learning. Proficiency in deep learning frameworks such as PyTorch or JAX, along with a solid understanding of the Transformer architecture, is essential. This position is ideal for candidates pursuing advanced degrees in Computer Science or related fields, particularly those with prior research experience in machine learning. Together AI's internship program offers a collaborative environment with access to industry-leading engineers and researchers.
Joblaze insights
- Listed today — first seen on Joblaze September 19, 2026. Last confirmed on Together AI's careers page September 19, 2026.
- Machine Learning appears in 38.5% of 52 comparable intern ai/ml roles in United States; Transformer appears in 3.8% of 52 comparable intern ai/ml roles in United States.
Quick facts
- Is the Research Intern, Model Shaping (Summer 2027) role remote?
- No — this is an on-site role in San Francisco, United States.
- What's the salary range?
- Together AI lists $58–$70 for this role.
- Where is the role based?
- Together AI is hiring for this position in San Francisco, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Deep Learning, JAX, Machine Learning, PyTorch, Transformer.
- What seniority level is this role?
- Together AI targets intern candidates for this position.
- Is this full-time or contract?
- Internship for this Research Intern, Model Shaping (Summer 2027) role at Together AI.
From the original posting
Role Overview
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)
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
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.)
- Familiarity with the Transformer architecture and recent developments in foundation models
Preferred Requirements
- 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
Internship Program Details
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 either May 17th to August 6th or June 14th to September 3rd in our San Francisco or Amsterdam office.
Compensation
We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 to $70. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
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Standard company text repeated across Together AI's postings is omitted here.