Research Engineer, Cybersecurity RL

at Anthropic

📍 New York City, United States
📍 San Francisco, United States

USD 500,000-850,000 per year

MIDDLE

✅ Hybrid

✅ Visa Sponsorship

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 3 LLM Machine Learning @ 3 Reinforcement Learning @ 2 Security @ 3

Details

Anthropic is hiring a Research Engineer for the Cybersecurity RL team within Horizons. The team advances AI capabilities in secure coding, vulnerability remediation, and other areas of defensive cybersecurity.

The role combines research and engineering. You will develop novel approaches, implement them in code, design and implement reinforcement learning environments, conduct experiments and evaluations, deliver work into production training runs, and collaborate with researchers, engineers, and cybersecurity specialists within and outside Anthropic.

Responsibilities

Design and implement reinforcement learning environments.
Conduct experiments and evaluations.
Deliver research and engineering work into production training runs.
Develop approaches for secure coding, vulnerability remediation, and defensive cybersecurity.
Collaborate with researchers, engineers, and cybersecurity specialists.
Balance research exploration with engineering implementation.

Requirements

Experience in cybersecurity research.
Experience with machine learning.
Strong software engineering skills.
Cybersecurity domain expertise.
Interest or experience in training safe AI models.
Ability to balance research exploration with engineering implementation.
Passion for AI's potential and commitment to developing safe and beneficial systems.
Bachelor's degree or an equivalent combination of education, training, and/or experience.
Education or experience in a field relevant to the role.

Preferred Qualifications

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 large language model training methodologies.

Benefits

Competitive compensation and benefits.
Optional equity donation matching.
Generous vacation and parental leave.
Flexible working hours.
Office space for collaboration.

Work Policy

Staff are currently expected to work from one of Anthropic's offices at least 25% of the time, although some roles may require more time in the office. Anthropic sponsors visas for eligible roles and candidates and provides immigration lawyer support.