Research Engineer, Frontier AI Lab - Shape Risk Standards

Artificial Intelligence Underwriting Company (AIUC); San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Equity

Health, dental and vision insurance

Visa sponsorship

Relocation stipend

Daily lunch, dinner & snacks

Job summary

Artificial Intelligence Underwriting Company (AIUC) in San Francisco is seeking a strong engineer to design, build, and maintain research code and experiment pipelines for frontier AI. You will read papers, implement methods, and iterate on ambitious projects with real impact.

You will help publish research, shape our public program, and contribute to a secure, auditable risk framework as we explore agent safety and policy at scale.

Qualifications

• You’re a strong engineer who can design, build, debug, and maintain research code and experiment pipelines.
• You can read an ML paper and implement it quickly.
• You can iterate quickly and turn open-ended questions into tractable experiments.
• Strong background in ML, CS, or an adjacent quantitative field, from engineering and research.

Responsibilities

• Own the questions that decide the strategic direction of AIUC: where AI capability & risk goes over the next 3–5 years, what replaces evals as agents get more capable, and how models behave when tested.
• Take confidence infrastructure upstream to the model layer, where independent standards, evaluation and third-party assurance meet release decisions.
• Turn what AIUC has done into evidence, publish research and shape our public programme, including podcast and writing.

Skills

Engineering & Research

Paper Implementation

Experimentation

ML/CS Background

Tools

Python

ML Frameworks

Job description

Artificial Intelligence Underwriting Company (AIUC) in San Francisco is seeking a strong engineer to design, build, and maintain research code and experiment pipelines for frontier AI. You will read papers, implement methods, and iterate on ambitious projects with real impact.

You will help publish research, shape our public program, and contribute to a secure, auditable risk framework as we explore agent safety and policy at scale.