Research Engineer, Cybersecurity Reinforcement Learning

San Francisco, CA | New York City, NY

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About Horizons

The Horizons team leads Anthropic's reinforcement learning (RL) research and development, playing a critical role in advancing our AI systems. We've contributed to every Claude release, with significant impact on the autonomy, coding, and reasoning capabilities of Anthropic's models.

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's 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.

Annual Salary:

$300,000 - $405,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. We encourage you to apply even if you do not believe you meet every single qualification.Not all strong candidates will meet every single qualification as listed.Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndromeand doubting the strength of their candidacy so we urge you not to exclude yourself prematurelyand to submit an application if you're interested in this work.We think AI systems like the ones we're building have enormous socialand ethical implications.We think this makes representation even more important,and we strive to include a range of diverse perspectives on our team. Your safety matters to us.To protect yourself from potential scams:Anthropic recruiters only contact you from @anthropic.com email addresses.In some cases we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic.Be cautious of emails from other domains.Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day.If you're ever unsure about a communication don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science.At Anthropic we work as a single cohesive team on just a few large-scale research efforts.And we value impact — advancing our long-term goals of steerable trustworthy AI — rather than work on smallerand more specific puzzles.We view AI research as an empirical science which has as much in common with physicsand biology as with traditional efforts in computer science.We're an extremely collaborative groupand we host frequent research discussions to ensure that we are pursuingthe highest-impact work at any given time.As such we greatly value communication skills. The easiest way to understand our research directions is to read our recent research.This research continues many of the directions our team worked on prior to Anthropic including: GPT-3,Circuit-Based Interpretability ,Multimodal Neurons ,Scaling Laws ,AI & Compute ,Concrete Problems in AI Safety,and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco.We offer competitive compensationand benefits optional equity donation matching,generous vacationand parental leave,fexible working hours,and a lovely office spacein which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process