
Research Scientist – Decentralized Training and Inference Verification
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States, +2 more locations.
• Identify and maintain the threat model addressing risks posed by malicious or negligent employees during pre-training, post-training, and inference phases.
• Evaluate potential threats such as training disruptions, denial-of-service attacks, free-riding, model poisoning, backdoors, data extraction, reputation manipulation, and reward manipulation.
• Develop statistical verification methodologies with defined error rates.
• Optimize verification tests using stringent benchmarks.
• Manage false positives and false negatives across diverse hardware configurations, including various GPUs and Macs.
• Create and operate the verification service within the inference pathway.
• Confirm the authenticity of tokens originating from the specified model and sampling parameters.
• Validate that training contributions are accurate as claimed.
• Developed a calibrated statistical decision-making system with established error rates and effectively managed its limitations.
• Extensive knowledge in statistics and probability.
• Proficient in designing experiments, calibrating decision thresholds, and justifying claimed error rates.
• Understanding of verifying untrusted computing environments, including statistical testing, re-execution methods, cryptographic proofs, and trusted hardware.
• Capability to evaluate which verification strategies are suitable for a permissionless network.
• Commitment to Protocol Learning as a feasible third path for creating collective, trustless, and sovereign AI.
• Acquainted with large-scale pre-training and reinforcement learning post-training methodologies.
• Knowledgeable about decentralized machine learning security and adversarial threat models, such as poisoning, Sybil attacks, collusion, and replay attacks.
• Experience in proprietary, open-weight, and open-source AI laboratories.
• Proficient in professional-level English, both written and spoken.
• Attractive equity options for key technical contributors, alongside a competitive base salary.
• Flexible work environment with a globally distributed team.
• Optional full visa sponsorship and relocation assistance to Australia or the US.
Pluralis Research
Pluralis Research
Inworld AI
Inworld AI
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