# Research Engineer, Cybersecurity **Company**: Anthropic **Location**: Zürich, CH **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Category**: Engineering **Industry**: Technology **Wikidata**: https://www.wikidata.org/wiki/Q116758847 **Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5412334008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_5a6095c0-a4a ## Description ## About the Role As a Research Engineer on Anthropic's Security team, you will help safely advance the capabilities of our models in secure coding, vulnerability remediation, and other areas of defensive cybersecurity. This role blends research and engineering. You will develop new approaches and build them in code. Your work will include designing and implementing RL environments, running experiments and evaluations, delivering your work into production training runs, and working with researchers, engineers, and cybersecurity specialists both inside and outside Anthropic. The role requires domain expertise in cybersecurity paired with interest or experience in training safe AI models. You might be a security researcher curious about how LLMs could change 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 improve defensive workflows. ## Key Responsibilities - Design, build, and maintain RL environments and evaluations that measure and improve model capabilities in secure coding, vulnerability discovery and remediation, and other defensive security tasks - Run experiments to develop and test new training approaches, and deliver successful results into production training runs - Partner with researchers, engineers, and security specialists across Anthropic to understand where AI can strengthen defensive workflows, and build toward those needs - Work with external cybersecurity experts and organizations to ground environments and evaluations in realistic defensive work - Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest - Participate in an on-call rotation as needed ## Minimum Qualifications - Experience in cybersecurity research or applied security work - Experience with machine learning - Ability to balance research exploration with engineering implementation - Care about AI's potential and are committed to developing safe and beneficial systems ## 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 RL techniques and environments - Familiarity with LLM training methodologies ## 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. ## Skills ### Required - cybersecurity - machine learning - RL techniques - LLM training ### Nice to have - security engineering - fuzzing - detection and response - CTF competitions - cyber ranges - academic research --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5412334008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)