Research Intern, Model Shaping (Fall 2026)
San Franciscoonsitejunior$25K – $33K
via Greenhouse
About this role
About The Role
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.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: pytorch, jax
2
Level fit
This role is junior-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in San Francisco. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pytorchjax
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