Research Engineer, Cybersecurity RL (Reinforcement Learning)

Anthropic; San Francisco (CA); Hybrid; USD 300,000 - 405,000; Full time

Benefits offered by this job

Equity donation matching

Generous vacation

Flexible working hours

Collaborative office space

Job summary

Anthropic is seeking a Research Engineer for its Cybersecurity RL team within Horizons. In this role, you will advance capabilities in secure coding and vulnerability remediation, blending research and engineering.

The ideal candidate will possess expertise in cybersecurity, strong engineering skills, and a passion for safe AI development. This position offers a competitive salary ranging from $300,000 to $405,000 USD, with benefits including flexible working hours and generous leave.

Qualifications

• Experience in cybersecurity research.
• Experience with machine learning.
• Strong software engineering skills.
• Passionate about AI's potential.

Responsibilities

• Develop novel approaches in cybersecurity.
• Design and implement RL environments.
• Conduct experiments and evaluations.
• Collaborate with researchers and engineers.

Skills

Cybersecurity research

Machine learning

Software engineering

Research exploration

AI safety and benefits

Education

Bachelor's degree in a related field

Job description

About the role

We're hiring for the Cybersecurity RL team within Horizons. As a Research Engineer, you'll help to safely advance the capabilities of our models in secure coding, vulnerability remediation, and other areas of defensive cybersecurity.

This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic.

The role requires domain expertise in cybersecurity paired with interest or experience in training safe AI models. For example, you might be a white hat hacker who is curious about how LLMs could augment or transform your work, a security engineer interested in how AI could help harden systems at scale, or a detection and response professional wondering how models could enhance defensive workflows.

You may be a good fit if you:

• Have experience in cybersecurity research.
• Have experience with machine learning.
• Have strong software engineering skills.
• Can balance research exploration with engineering implementation.
• Are passionate about AI's potential and committed to developing safe and beneficial systems.

Strong candidates may also have:

• 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 RL techniques and environments.
• Familiarity with LLM training methodologies.

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

Compensation: The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.

Annual Salary: $300,000 — $405,000 USD

Benefits: We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.