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Verification Systems Engineer at Pluralis Research - ApplyBlast

Verification Systems Engineer

Pluralis Research

6 days ago

Remote

Full Time

Senior

0 applicants

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About this role

This role focuses on developing efficient algorithms and systems to verify the integrity of work performed by decentralized, untrusted GPU workers in a permissionless AI training and inference network. The engineer will own the threat model, design statistical verification methods with controlled error rates, and ship the verification service to ensure tokens and training contributions are authentic. The position requires deep expertise in statistics, probability, and untrusted compute verification to protect against attacks like model poisoning, free-riding, and data extraction.

Responsibilities

Own the threat model for malicious or careless workers across pre-training and inference
Design and calibrate statistical verification methods with stated error rates
Build and run the verification service in the inference path

Skills

About Pluralis Research

pluralis.ai

Company Size

1-10 employees

View Profile

Pluralis Research is at the forefront of innovative machine learning techniques, specializing in Protocol Learning, which focuses on decentralized, communication-efficient model-parallel training for foundation models. Their research facilitates the multi-participant training of models, enabling collaborative efforts without any single participant ever possessing the complete model—promoting community ownership and sustainable economies. They strive to create cutting-edge, self-sustaining models that push the boundaries of traditional AI development. With a commitment to open-source collaboration, Pluralis Research is shaping the future of AI technologies.