Machine Learning Researcher – Early-Stage AI Infrastructure
Listed on 2026-05-27
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Artificial Intelligence
Machine Learning Researcher – Early-Stage AI Infrastructure
AI - ML
240,000 USD - 360,000 USD Base + Equity
California, London
We’re working with a London-based AI startup building the world’s most accessible training infrastructure for large-scale AI models. Inspired by the ‘Folding@Home’ project, their mission is to democratise access to AI by allowing everyday users to contribute compute power via their personal devices.
Since launching in March 2024, they’ve raised ~$20M, open-sourced a project that’s gained 15k Git Hub stars in under four months, and built a founding team with strong academic roots, including alumni from Oxford and top international competitions.
They’re now hiring a Machine Learning Researcher to join their team. You’d be joining early enough to influence the future of a high-impact, technical product, but with the backing of top-tier investors and strong early traction.
The Role:- Conduct applied ML research to help make decentralised model training a practical reality.
- Contribute to both infrastructure and core ML problems, including training dynamics, distributed optimisation, and scaling laws.
- Collaborate closely with software engineers to product ionise your ideas and open-source contributions.
- Strong background in ML research, recent postdocs or early-career researchers welcome.
- Experience working on model training (LLMs, diffusion models, or related).
- High levels of curiosity and a bias toward experimentation and building.
- Ideally, competition experience (ICPC, IOI, IMO, IPhO)
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