Research Scientist

remotemid

via Ashby

About this role

Pluralis Research https://pluralis.ai/ works on Protocol Learning https://arxiv.org/abs/2412.07890— training large models in a fully decentralised way on small consumer-grade devices connected via the internet. Despite being dismissed as infeasible, we have made significant advances on this problem https://arxiv.org/pdf/2506.01260, most recently training an 8B llama model from scratch with devices in physically different regions. While many of the core research problems have been solved, Protocol Learning unlocks a series of new challenges. If you want your work to shape the future of truly open innovation in the large model regime, join us. KEY RESPONSIBILITIES - Publish in Tier-1 Venues: At the core of Protocol Learning are hard research problems.…

Read the full description on Pluralis-research's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: pytorch, llama

2

Level fit

This role is mid-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is remote-eligible — we factor in your stated location and time-zone overlap.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pytorchllama

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