A well-funded AI startup is building software to let anyone train AI models using the spare compute of their personal devices, an open, distributed alternative to billion-dollar clusters. Think: Folding@Home, but for training LLMs.
Founded by a team of Oxford grads and competitive programming talent, they’ve already raised ~$20M and launched a GitHub repo with 15k stars in four months. Now, they’re looking to scale their engineering team with a new wave of smart, ambitious developers.
This is a rare opportunity to work on distributed systems, low-level performance, and machine learning all in one, with the freedom to build in the open and ship quickly.
The Role:
Ideal Candidates:
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