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# Machine Learning Researcher

- **Company:** Lambda Inc.
- **Location:** San Francisco, CA, United States (Remote available)
- **Salary:** $189,000 - $260,000
- **Contract:** Permanent contract
- **Skills:** Distributed Systems, Machine Learning, Deep Learning, Generative AI, Machine Learning Operations
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_75a21a05b97715395d4f90e4346326c8

## About the Role

* Demonstrate a proven track record of enhancing existing machine learning methodologies, evidenced by significant achievements such as first author publications or notable projects.
 * Manage and advance a research agenda, including selecting meaningful research problems and independently conducting long-term projects.
 * Execute model training at scale, either by managing multiple experiments concurrently or overseeing critical high-cost runs to ensure optimal performance., * Experience in MLOps within a collaborative environment.
 * Experience in training large models using distributed systems.
 * Experience in creating high-performance implementations of deep learning algorithms.

## Description

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and Carnegie Mellon. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

If you'd like to build the world's best deep learning cloud, join us.

*Note: This position requires presence in one of our San Francisco Bay Area office locations (Currently San Jose, expanding to Peninsula/SF) 4 days per week; Lambda's designated work from home day is currently Tuesday., * You will work on developing and refining AI models. Publishing research outcomes in the form of dataset, model, demo apps and publications.

 * You will also collaborate with colleagues across the organization to benchmark and optimize ML workloads on our GPU platforms.
 * The ideal candidate will possess a solid research background with experience in generative models.