Research Scientist - Decentralized Training and Inference Verification

Pluralis Research · Remote · San Francisco · Australia ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote (global)
  • Decentralized AI security
  • Statistical verification
  • Visa sponsorship available
  • Senior research role

Pluralis Research develops Protocol Learning, enabling large model training on distributed consumer hardware without central control. As the network grows, ensuring workers perform honest computation becomes critical. You will build statistical systems to verify that inference tokens and training updates match claimed models and parameters, protecting against fraud and attacks.

What you'll do

  • Define threat models for malicious workers in pre-training, post-training, and inference
  • Design statistical verification methods with controlled error rates and benchmarks
  • Tune detection systems across heterogeneous hardware like GPUs and Macs
  • Build and operate the verification service within the inference path
  • Monitor and mitigate attacks such as free-riding, poisoning, and data extraction

What you'll need

  • Experience shipping or publishing calibrated statistical decision systems
  • Deep expertise in statistics, probability, and experimental design
  • Knowledge of untrusted compute verification solutions like cryptographic proofs
  • Ability to argue technical fit for permissionless network constraints
  • Professional-level written and spoken English proficiency

Nice to have

  • Familiarity with large-scale pre-training and RL post-training
  • Experience with decentralized ML security and adversarial threat models
  • Background in proprietary, open-weight, or open-source AI labs

Stack

  • Python
  • Statistical modeling tools
  • Distributed systems

How you'll work

  • Fully remote with team members distributed globally
  • Main teams located in Australia and North America
  • Must be comfortable working across multiple time zones

What you get

  • Equity-heavy compensation package with significant ownership
  • High base salary for key technical contributors
  • Optional full visa sponsorship and relocation to Australia or US
  • Flexible work environment