Research Engineer, AI Safety & Risk

artificial intelligence underwriting company (aiuc) • United States

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AI Summary

Founding member of AIUC Labs responsible for defining strategic research directions on AI capability and risk over the next 3-5 years. Design and build research code and experiment pipelines to evaluate frontier AI models and agent security. Publish high-impact research and shape the company's public research program to guide industry standards.

Key Highlights

Founding role in a new research lab (AIUC Labs) working directly with founders.

Focus on frontier AI safety, agent security, and risk underwriting for superintelligence.

Requires strong engineering skills to build and maintain research code and experiment pipelines.

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Key Responsibilities

Own the questions that decide the strategic direction of AIUC regarding AI capability and risk over the next 3-5 years.

Take confidence infrastructure upstream to the model layer, ensuring independent standards and rigorous evaluation meet release decisions.

Turn AIUC's work into evidence by publishing research and shaping the public research programme, including podcasts and writing.

Technical Skills Required

Machine Learning Software Engineering Research Methodology

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Benefits & Perks

Competitive annual salary

Equity (significant part of total compensation)

Health, dental and vision insurance

Visa sponsorship and relocation stipend

Daily lunch, dinner & snacks

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Nice to Have

Experience from a frontier lab, third-party evaluation organisation, or ML team in science of evals, security research, forecasting, or interpretability.

Familiarity with the model training pipeline, including training, fine-tuning, probing models, or building scalable experimentation infrastructure.

Published work that has been engaged with by the field, such as first-author papers, adopted benchmarks, or work built into products.

Job Description

AIUC builds standards and insurance for frontier AI. Our mission is to Underwrite superintelligence. We exist because risk, not capability, is becoming the binding constraint on AI being useful. History offers lessons for how to build confidence in new technology; electricity burned down houses until insurers funded Underwriters Laboratories (UL) to certify products against their standards. Today, the UL mark is a trustmark on every light bulb in America. We’re building that for AI.

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