Senior Bayesian Trust Propagation Engineer

corpora-jobs-1778796293285-db9d41c6 - Frontier Development

Research EngineerStaff1 position

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Why This Role is Different

Frontier Development Role

You will build the trust backbone of our multi‑agent system, turning abstract Bayesian updates into a robust, low‑latency trust‑propagation service that survives benign noise and active adversaries alike. Your work will be the invisible guard that keeps the entire JIT framework from collapsing.

The Frontier Element

This role fuses Bayesian trust modeling, blockchain‑based identity validation, and real‑time inference on heterogeneous devices—an unprecedented combination that has never been deployed at scale in multi‑agent AI.

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Project Context

Research Area

Dynamic Trust‑Score Propagation (DTSP)

From: Cascading Misinterpretation and Suboptimal Joint Actions

Why This Role is Critical

DTSP is the safety net that prevents the sink effect and limits the spread of misinterpretation, making it essential to the overall JIT framework.

What You Will Build

A lightweight, real‑time trust‑score engine that attaches Bayesian trust scores to every message, updates them via a Bayesian filter, and interfaces with CGCE and JPRO‑SOB while supporting cross‑chain DID validation and adversarial threat models.

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Key Responsibilities

Design the Bayesian trust filter, incorporating historical consistency and explanation confidence from CGCE.
Implement a lightweight, Rust/C++ API that attaches trust scores to every inter‑agent message.
Calibrate trust thresholds for benign noise, adversarial attacks, and cross‑chain scenarios.
Integrate trust propagation with DTSP’s sink‑effect mitigation and trigger JPRO‑SOB re‑optimization.
Develop monitoring dashboards and automated alerts to detect trust decay or anomalous propagation.

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Required Skills & Experience

Technical Must-Haves

Bayesian Inference & Probabilistic Programming

Expert

Core to the trust‑score update mechanism.

Trust Modeling & Reputation Systems

Expert

For designing robust trust propagation.

Distributed Systems & Message Passing

Advanced

To ensure low‑latency trust updates across agents.

Rust / C++ for low‑latency APIs

Advanced

For production‑grade trust service.

Security Protocols & Blockchain DID

Proficient

To anchor trust scores across heterogeneous networks.

Adversarial ML & Robustness

Advanced

To design defenses against targeted deception.

Experience Requirements

6+ years in AI safety, trust modeling, or distributed AI.
Publications on trust propagation, adversarial robustness, or Bayesian filtering.
Experience building real‑time trust‑scoring systems for large‑scale deployments.

Education

PhD in Computer Science or AI Safety with a focus on trust or probabilistic modeling.

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Preferred Skills

Experience with blockchain trust frameworks and cross‑chain identity validation.
Real‑time trust scoring on edge devices.
Knowledge of decentralized consensus protocols.

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You Will Thrive Here If...

Self‑starter who builds secure, production‑grade systems from scratch.
Enjoys tackling undefined security problems and iterating fast.
Values transparency and rigorous validation.

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Impact & Growth

12-Month Impact

Deploy a trust‑propagation engine that cuts cascading misinterpretation by 25% and raises resilience to adversarial attacks, as measured by simulation and real‑world edge deployments within 12 months.

Growth Opportunity

Advance to head of trust & safety for our multi‑agent platform, shaping industry standards for trustworthy autonomous systems.

Ready to Push the Boundaries?

If this sounds like the challenge you have been looking for, we want to hear from you. We value what you can build over where you have been.