Pluralis Research
Research Engineer - Decentralized Training and Inference Verification
- Confirmed live in the last 24 hours
- No salary listed
- Mid level
- Full-time
- Remote · San Francisco
- Added 1 month ago
About this role
Pluralis Research is seeking a Research Engineer to develop verification systems for their decentralized training and inference network. This role focuses on designing and implementing algorithms to ensure the integrity of training and inference processes within a trustless, globally distributed environment. The ideal candidate will have a strong background in statistical decision systems and a passion for advancing the field of Protocol Learning.
What you'll do
- Define and maintain a comprehensive threat model for malicious or careless worker behavior.
- Design and calibrate statistical verification methods with defined error rates.
- Build and deploy a verification service within the inference path.
- Tune verification methods with rigorous benchmarks to control false positives and negatives.
- Stay current on potential attacks and vulnerabilities in decentralized ML systems.
- Argue for which verification approaches are suitable for a permissionless network.
What they're looking for
- Statistical Decision Systems
- Probability & Statistics
- Experiment Design
- Verification Systems
- Statistical Testing
Benefits
- Equity-Heavy Package
- Remote-First Culture
- Visa Sponsorship (Australia or US)
- Flexible Work Environment
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Pluralis Research
Likely interview questions
- Describe a time you built a calibrated statistical decision system and how you handled errors.
- What are the biggest challenges in verifying untrusted compute in a decentralized setting?