Research Engineer, Cybersecurity RL

Anthropic•San Francisco, NY

11h•Hybrid

About The Position

Anthropic is hiring a Research Engineer for the Cybersecurity RL team within Horizons, which leads the company’s reinforcement learning research and development. The role focuses on safely advancing model capabilities in secure coding, vulnerability remediation, and other areas of defensive cybersecurity. It blends research and engineering: developing novel approaches and implementing them in code. The work includes designing and implementing reinforcement learning environments, conducting experiments and evaluations, delivering work into production training runs, and collaborating with researchers, engineers, and cybersecurity specialists inside and outside Anthropic. The role requires cybersecurity expertise alongside interest or experience in training safe AI models. Anthropic’s mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial. The company describes its research as collaborative, empirical, and focused on high-impact efforts toward steerable, trustworthy AI.

Requirements

Experience in cybersecurity research.
Experience with machine learning.
Strong software engineering skills.
Ability to balance research exploration with engineering implementation.
Passion for AI’s potential and commitment to developing safe and beneficial systems.
At least a bachelor’s degree or an equivalent combination of education, training, and/or experience.
A field of study relevant to the role, demonstrated through coursework, training, or professional experience.

Nice To Haves

Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work.
Experience participating in or building CTF competitions and cyber ranges.
Academic research experience in cybersecurity.
Familiarity with reinforcement learning techniques and environments.
Familiarity with LLM training methodologies.

Responsibilities

Develop novel approaches for safely advancing AI capabilities in secure coding, vulnerability remediation, and other defensive cybersecurity areas.
Design and implement reinforcement learning environments.
Conduct experiments and evaluations.
Deliver work into production training runs.
Collaborate with researchers, engineers, and cybersecurity specialists across and outside Anthropic.