> Markdown version of [/jobs/ext/4617114-research-engineer-ml-infrastructure](https://www.wearedevelopers.com/jobs/ext/4617114-research-engineer-ml-infrastructure). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Research Engineer, ML Infrastructure

- **Company:** PRESENT PRESENT
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Computer Clusters, Profiling, Distributed Computing Environment, Python (Programming Language), Pytorch, Machine Learning Operations
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_658d5b4f67f6b0b311fa07fb87ddc254

## About the Role

The role is about making large model training fast, stable and cost efficient. That means working on the training code from whole models down to individual GPU kernels, and keeping long runs on big GPU clusters healthy. A strong candidate has deep hands-on experience with distributed training, performance profiling, and reliability work such as checkpointing and recovery, plus solid Python and PyTorch or JAX skills.