Lead Cyber AI Engineer — Defender-Facing Security Tools

OpenAI; San Francisco (CA); On-site; USD 347,000 - 490,000; Full time

Job summary

OpenAI's Codex Cyber team is seeking research and software engineers to define and ship security products, collaborate with trusted defenders and customers, shape model training and access patterns, and build research and evaluation systems for assessing cyber capabilities, validating safeguards, and improving training data.

This role is hands-on and cross-functional, connecting product launches, model development, safety work, and real-world security use cases.

Qualifications

• 10+ years of experience in Python, TypeScript/JavaScript, or similar languages.
• Experience in ML systems, security products, cyber evaluations, model training, safety engineering, or trusted customer deployments.
• Ability to design and ship security-focused products in high-stakes environments.

Responsibilities

• Help define and execute the technical roadmap for Codex Cyber's security products, including evaluations, safeguards, trusted‑defender workflows, and deployment decisions.
• Work with trusted defenders, customers, and partner teams to understand cyber use cases, evaluate risk, and turn feedback into product and research priorities.
• Shape cyber‑specific model training and access patterns, including data, evaluations, validation, and deployment criteria.
• Build and validate systems for measuring cyber capabilities, monitoring misuse risk, and proving safeguards work in practice.
• Collaborate with Safety/Preparedness, Research, Security, Legal, Communications, Go-to-Market, and external partners on company‑wide cyber priorities.
• Translate frontier cyber research into launch‑ready tools, operational playbooks, and durable infrastructure for Codex and security products.

Skills

Python

TypeScript/JavaScript

Job description

OpenAI's Codex Cyber team is seeking research and software engineers to define and ship security products, collaborate with trusted defenders and customers, shape model training and access patterns, and build research and evaluation systems for assessing cyber capabilities, validating safeguards, and improving training data.

This role is hands-on and cross-functional, connecting product launches, model development, safety work, and real-world security use cases.