Research Scientist, Decentralized ML Verification & Security

pluralis-research; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Equity-Heavy Package

Remote-First Culture

Visa Sponsorship

Job summary

Pluralis Research is a remote-first, equity-heavy ML research lab building Protocol Learning systems that verify worker computations across distributed GPUs worldwide. The team pursues secure, trustless training and inference, with visa sponsorship and relocation support to Australia or the US for eligible candidates.

We seek experts in statistical verification, cryptographic proofs, and untrusted compute verification to design, test, and deploy verifiers in the inference path, while addressing

Qualifications

• Experience with calibrated statistical decision systems and clearly stated error rates.
• Strong background in statistics, probability, and experimental design.
• Familiarity with verifying untrusted compute, re-execution, cryptographic proofs, and trusted hardware.

Responsibilities

• Own the threat model across pre-training, post-training, and inference and keep it current as the network grows.
• Design and calibrate tests with stated error rates and benchmarks across heterogeneous hardware.
• Ship the verifier in the inference path and manage its mistakes.

Skills

Verification systems

Statistical depth

Technical background

Tools

Cryptographic proofs

Trusted hardware

Job description

Pluralis Research is a remote-first, equity-heavy ML research lab building Protocol Learning systems that verify worker computations across distributed GPUs worldwide. The team pursues secure, trustless training and inference, with visa sponsorship and relocation support to Australia or the US for eligible candidates.

We seek experts in statistical verification, cryptographic proofs, and untrusted compute verification to design, test, and deploy verifiers in the inference path, while addressing