Job Summary

We’re looking for research and software engineers to join Codex Cyber. You’ll help define and ship security products, work 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.

Key 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.

Skill Requirements

The following skills are mandatory for this role:

• Enjoy 0 -> 1 environments, can navigate ambiguity, are excited to build security products that bring frontier AI capabilities to trusted defenders responsibly.
• Can move fluidly between product launches, customer and defender partnerships, model training, evaluation science, and security research.
• Have 10+ years of experience in Python, TypeScript/JavaScript, or similar languages, with the judgment to build reliable systems in ambiguous, high-stakes domains.
• Think clearly about cyber capability, misuse risk, access patterns, safeguards, and deployment tradeoffs in high-stakes environments.
• Have experience in ML systems, security products, cyber evaluations, model training, safety engineering, or trusted customer deployments.

Other Requirements

• Familiarity with OpenAI’s models, APIs, Codex, Codex Security, Daybreak, or related cyber capabilities.
• Experience working with security-product companies, global systems integrators, or cybersecurity partners.
• Depth across application security, cloud security, identity, secure SDLC, vulnerability management, detection and response, or attacker tradecraft.
• Experience developing repeatable field assets, technical enablement, or product feedback mechanisms across multiple regions.

Preferred Qualifications

• Master’s degree in computer science, Artificial Intelligence, Data Science, Engineering, or a related field, or relevant cloud, AI, security, architecture, or data certifications.
• Experience with Azure, AWS, or Google Cloud; enterprise data platforms; vector databases and search; API management; containers and Kubernetes; DevSecOps; and MLOps/LLMOps toolchains.
• Experience in consultative or presales solutioning, regulated-industry environments, architecture governance, and creation of reusable reference architectures, accelerators, evaluation suites, and bid-response artifacts.