Research Engineer, Cybersecurity RL (Reinforcement Learning)

EngineersOfAI; Zürich; Hybrid; CHF 140.000 - 190.000; Vollzeit

Benefits dieser Stelle

Visa sponsorship

Zusammenfassung

Anthropic is seeking a Research Engineer to advance safe and reliable AI systems. The role blends research and engineering to design RL environments, run experiments, and ship production training runs.

You will partner with researchers and safety teams to turn analytical findings into robust tooling, contribute to the team's strategic direction, and potentially participate in on-call rotations. A strong ML and cybersecurity background is required.

Qualifikationen

• Bachelor's degree in a relevant field or equivalent experience.
• Demonstrated ML experience and cybersecurity research background.
• Strong software engineering skills and production-ready code.
• Ability to balance research exploration with engineering delivery.

Aufgaben

• Partner with researchers and safety teams to understand analytical needs and build solutions.
• Develop agentic integrations enabling autonomous investigation and action on findings.
• Contribute to strategic direction including what to build and where to invest.
• This role may include on-call rotation.

Kenntnisse

Machine learning

Cybersecurity research

Software engineering

Research to engineering

AI safety

Ausbildung

Bachelor's degree or equivalent in a relevant field

Tools

RL frameworks

Jobbeschreibung

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 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

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.

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 syndrome and dou