# Research Intern, Inference (Winter 2027) at Together AI

- Company: Together AI
- What the company does: Build what's next on the AI Native Cloud. Full-stack AI platform for inference, fine-tuning, and GPU clusters — powered by cutting-edge research. Backed by General Catalyst, Kleiner Perkins and NEA.
- Company website: https://www.together.ai/
- Type: Startups (AI role)
- Level: Internship
- Location: San Francisco
- Work setup: On-site
- Pay: $58 to $70/hr (USD)
- Posted: 2026-09-18
- Apply by: 2026-11-02
- Apply: https://job-boards.greenhouse.io/togetherai/jobs/5238461007
- Page: https://www.1752.vc/careers/jobs/together-ai-research-intern-inference-winter-2027/

## About the role

The Inference Research team is dedicated to building the next generation of efficient, scalable, and reliable serving systems for large foundation models, directly contributing to the mission of advancing open and transparent AI. Our work operates at the critical intersection of cutting-edge model architectures, high-performance systems engineering, and deep hardware optimization. We focus on co-designing software, algorithms, and models to significantly lower the cost and latency of modern AI systems.

## What they're looking for

- Currently pursuing a final year of 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

Tags: Research
