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Research Engineer, Cybersecurity RL (Reinforcement Learning)

anthropic·Zürich, CH·10.09.2026

 job-boards.greenhouse.io

 
 
Festanstellung80–100%
Job written in
English
Location
Zürich, CH
Work type
Hybrid

 

The role of Research Engineer, Cybersecurity RL (Reinforcement Learning) at Anthropic involves advancing the capabilities of AI systems in defensive cybersecurity. Anthropic is dedicated to creating reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The company focuses on building AI systems that can be trusted and that have a positive impact on society as a whole. The main day-to-day responsibilities include partnering with researchers and safety teams to understand their analytical needs and build solutions. This involves developing agentic integrations that allow AI systems to autonomously investigate and act on analytical findings. The role also includes contributing to the strategic direction of the team, making decisions about what to build, what to partner on, and where to invest. Additionally, the role may require participation in an on-call rotation. To qualify for this position, candidates must have a Bachelor's degree or an equivalent combination of education, training, and/or experience in a field relevant to the role. Experience with machine learning and cybersecurity research is essential. Strong software engineering skills and the ability to balance research exploration with engineering implementation are also required. Candidates must be passionate about AI's potential and committed to developing safe and beneficial systems. Nice-to-have skills include professional experience in security engineering, fuzzing, detection and response, or other applied defensive work. Experience participating in or building CTF competitions and cyber ranges is also beneficial. Academic research experience in cybersecurity or other experimental research backgrounds, as well as familiarity with RL techniques and environments and LLM training methodologies, are additional assets. The role is based in a hybrid work environment, with a requirement to be in the office at least 25% of the time, though some roles may require more office presence. Anthropic sponsors visas for eligible candidates and encourages applications from diverse backgrounds, emphasizing the importance of representation in AI research. What the role asks for: - Bachelor's degree or an equivalent combination of education, training, and/or experience. - Experience with machine learning. - Experience in cybersecurity research. - Strong software engineering skills. - Ability to balance research exploration with engineering implementation. - Commitment to developing safe and beneficial AI systems. - Passion for AI's potential.

 

 

 

 

 

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