Research Engineer - Decentralized Training and Inference Verification

Pluralis Research
United States, Australia
Workplace: RemoteFull timeFunction: Education & TrainingSkills: ["Mission alignment","Experimentation","Error-rate calibration"]

Build statistical verification systems for a decentralized training and inference network where GPUs and participants are untrusted. Own the threat model, design and calibrate tests with stated error rates across heterogeneous hardware, and ship a verification service in the inference path. You’ll develop algorithms to confirm tokens and training contributions while balancing false positives/negatives and supporting early publication-level research.

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Pluralis Research
Pluralis Research
5 days ago

Research Engineer - Decentralized Training and Inference Verification

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Build statistical verification systems for a decentralized training and inference network where GPUs and participants are untrusted. Own the threat model, design and calibrate tests with stated error rates across heterogeneous hardware, and ship a verification service in the inference path. You’ll develop algorithms to confirm tokens and training contributions while balancing false positives/negatives and supporting early publication-level research.
Location: United States, Australia
Workplace: Remote
Employment Type: Full time
Job Function: Education & Training

Key Responsibilities

  • •Own and maintain the end-to-end threat model across pre-training, post-training, and inference (including disruption, free-riding, poisoning, and data extraction).
  • •Design and calibrate statistical verification tests with stated error rates, controlling false positives and false negatives on heterogeneous hardware.
  • •Ship and operate a verification service in the inference path, iterating based on real mistakes and outcomes.

Pay and Benefits

Equity and Bonus:Equity
Perks:EquityRemote WorkVisa SponsorshipRelocation

Key Requirements

  • •Experience shipping or publishing verification systems with calibrated statistical decision methods and stated error rates.
  • •Ability to design experiments, tune decision thresholds, and defend claimed error rates for untrusted compute.
  • •Technical understanding of verification approaches including statistical testing, re-execution, cryptographic proofs, and trusted hardware.
  • •Experience working with inference and training verification, including fraud detection/anti-cheat style systems or experimentation platforms.
  • •Demonstrated mission alignment with Protocol Learning for collective, trustless, sovereign AI.
Experience:Decentralized ML security
Skills:Mission alignmentExperimentationError-rate calibration
Languages:English
Tech Stack:GPUCryptographic proofsTrusted hardware

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Pluralis Research
Develops Protocol Learning for decentralized, multi‑participant training of foundation models so models remain unmaterialized and community‑owned, enabling open-source large‑scale AI without single‑party control.
Industry: AI & Machine Learning
Company Size: Micro (1 to 10 employees)
Growth: Early Stage Startup
Funding: Seed
Founded: 2024
Glassdoor
Glassdoor: 4.0
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