# Research Engineer, Large-Scale Training 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: Mid level
- Location: San Francisco
- Work setup: On-site
- Pay: $200K to $290K base salary per year (USD)
- Posted: 2026-07-30
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/togetherai/jobs/5199554007
- Page: https://www.1752.vc/careers/jobs/together-ai-research-engineer-large-scale-training/

## About the role

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, 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.

## What they're looking for

- Demonstrated ability to independently take ambiguous performance or infrastructure problems from investigation through deployment
- Strong programming skills in Python and PyTorch, with an emphasis on writing efficient, maintainable code
- Hands-on experience training or fine-tuning large neural networks in multi-GPU or multi-node environments
- Solid understanding of ML systems fundamentals, including GPU architecture, mixed-precision training, and distributed training paradigms such as data, tensor, pipeline, or expert parallelism
- Strong communication skills and the ability to collaborate effectively with both researchers and engineers
- Passion for staying current with advances in AI research and applying them to real-world systems

Tags: Research