# Research Intern

**Company:** [Modal](https://hotfix.jobs/companies/modal)
**Location:** New York, NY, San Francisco, CA
**Role:** AI Research
**Salary:** $168k – $168k/yr
**Skills:** Reinforcement Learning, Machine Learning, Foundation Models, LLMs, multimodal models, Distributed Training, large-scale inference, multi-gpu, Python, PyTorch
**Posted:** 2026-07-28

> PhD research intern role focused on advancing reinforcement learning, machine learning, and foundation models. Work on large-scale training, optimization, inference, long-context tasks, and improving efficiency, reliability, and robustness for real-world AI deployments.

## Job Description

## Responsibilities
- Improve existing methods and develop new techniques for large-scale model training, optimization, and inference.
- Extend models to long-context and long-horizon tasks.
- Improve inference-time efficiency, reliability, and robustness in high-stakes real-world deployments.

## Requirements
- Currently pursuing a PhD in computer science, machine learning, or a related field.
- Demonstrated record of research in reinforcement learning, machine learning, foundation models, or related areas.
- Experience developing and evaluating large-scale models or machine learning systems.
- Familiarity with distributed training, large-scale inference, or multi-GPU environments.
- Publications at leading venues such as NeurIPS, ICML, ICLR, CVPR, CoRL, UAI, JMLR, or TMLR.
- Strong programming and engineering skills, with the ability to translate research ideas into working implementations.
- Collaborative, mission-driven mindset and the ability to work effectively across research and engineering teams.

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**Canonical:** https://hotfix.jobs/jobs/9afdb381-80e4-4d35-aa55-4c702a78064e