Machine Learning Engineer - ML Training Platform

remotemid

via Ashby

About this role

OVERVIEW Pluralis Research https://pluralis.ai/ is pioneering Protocol Learning https://arxiv.org/abs/2412.07890—a fully decentralised way to train and deploy AI models that opens this layer to individuals rather than well resourced corporates. By pooling compute from many participants, incentivising their efforts, and preventing any single party from controlling a model’s full weights, we’re creating a genuinely open, collaborative path to frontier-scale AI. We’re looking for an ML Training Platform Engineer to architect, build, and scale the foundational infrastructure powering our decentralized ML training platform.…

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: python, aws, azure, gcp, s3…

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.

Score yourself on this role.
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Skills in this role

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

pythonawsazuregcps3ekscloudformationkubernetesterraformgrafana

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