Join Anthropic as a Research Engineer to advance AI capabilities in cybersecurity through innovative research and engineering.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 8 hours ago
Skills & Technologies
Requirements
- Education
- Bachelor's degree
- Visa
- Sponsorship available
Not disclosed in this posting: compensation, years of experience.
Benefits
Joblaze summary
In the role of Research Engineer focused on cybersecurity reinforcement learning at Anthropic, the individual will engage in developing and implementing innovative solutions for incident response and security analysis. This position requires a blend of machine learning expertise and cybersecurity knowledge, with a strong emphasis on software engineering skills. It is well-suited for candidates with a background in either machine learning research or cybersecurity, particularly those who are passionate about advancing safe AI systems. Anthropic's collaborative environment fosters a unique approach to AI research, emphasizing impactful, large-scale projects.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 7, 2026. Last confirmed on Anthropic's careers page November 2, 2026.
- This exact title is also open at 1 other location at Anthropic: San Francisco, CA | New York City, NY.
Quick facts
- Is the Research Engineer, Cybersecurity RL (Reinforcement Learning) role remote?
- It's hybrid — Anthropic expects some on-site time in Zürich, CH.
- Where is the role based?
- Anthropic is hiring for this position in Zürich, CH.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Cybersecurity, Machine Learning, Software Engineering, reinforcement learning.
- Does Anthropic sponsor work visas for this role?
- Yes — the posting indicates visa sponsorship is available for the right candidate.
- What seniority level is this role?
- Anthropic targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Research Engineer, Cybersecurity RL (Reinforcement Learning) role at Anthropic.
From the original posting
About Anthropic
About the Team
The Security team protects Anthropic's AI systems and maintains the trust of our users and society.
About the Role
At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. As a Research Engineer, you'll help to safely advance the capabilities of our models in incident response, security analysis, 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.
This role requires ML experience combined with domain expertise in cybersecurity. You might be an ML researcher with a history of cybersecurity work, or a security professional with a background in ML.
Responsibilities
- Partner with researchers and safety teams across Anthropic to understand their analytical needs and build solutions
- Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings
- Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest
- This role may require participation in an on-call rotation.
You may be a good fit if you
- Have experience with machine learning.
- Have experience in cybersecurity research.
- 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 or other experimental & research background.
- Familiarity with RL techniques and environments.
- Familiarity with LLM training methodologies.
Logistics
Standard company text repeated across Anthropic's postings is omitted here.