# Research Intern, Model Shaping

**Company:** [Together AI](https://hotfix.jobs/companies/together-ai)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Salary:** $121k – $131k/yr
**Experience:** 0+ years
**Skills:** PyTorch, JAX, Machine Learning, Deep Learning, Transformer Architecture, Supervised Learning, Preference Optimization, Reinforcement Learning, Distributed Training, Foundation Models
**Posted:** 2026-06-15

> Research intern on the Model Shaping team working on post-training methods, efficient neural network training, and foundation model evaluation. Requires strong ML fundamentals and PyTorch/JAX experience.

## Job Description

## 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
- Fall internship program spans 12 to 16 weeks
- Internship dates: September 14th to December 18th
- Located in San Francisco or Amsterdam office

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