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Machine Learning Engineer - ML Training Platform
Pluralis Research
📍
san francisco, United-States
Location
san francisco
Posted
May 20, 2026
Commute
Local Area
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Job Description
Pluralis Research is pioneering Protocol Learning – 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 decentralised ML training platform. You will own core systems spanning infrastructure orchestration, distributed compute, and services integration, enabling continuous experimentation and large‑scale model training.
Multi-Cloud Infrastructure : Design resource management systems provisioning and orchestrating compute across AWS, GCP, and Azure using infrastructure-as-code (Pulumi/Terraform). Handle dynamic scaling, state synchronization, and concurrent operati...
We’re looking for an ML Training Platform Engineer to architect, build, and scale the foundational infrastructure powering our decentralised ML training platform. You will own core systems spanning infrastructure orchestration, distributed compute, and services integration, enabling continuous experimentation and large‑scale model training.
Multi-Cloud Infrastructure : Design resource management systems provisioning and orchestrating compute across AWS, GCP, and Azure using infrastructure-as-code (Pulumi/Terraform). Handle dynamic scaling, state synchronization, and concurrent operati...