# 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_146779dc-1a3

## Description

## About the Role

The Security team at Anthropic protects the company's AI systems and maintains user trust. As a Research Engineer on the team, you will help advance the capabilities of models in secure coding, vulnerability remediation, and other defensive cybersecurity areas.

This role combines 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 work into production training runs, and collaborating with researchers, engineers, and cybersecurity specialists.

The role requires domain expertise in cybersecurity and an interest or experience in training safe AI models. You might be a security researcher curious about LLMs, a security engineer interested in AI-enhanced system hardening, or a detection and response professional exploring AI-improved defensive workflows.

## Key Responsibilities

- Design, build, and maintain RL environments and evaluations to 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 to understand where AI can strengthen defensive workflows and build toward those needs.

- Collaborate 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 on 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.

- Commitment to developing safe and beneficial AI 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.

- Minimum years of experience: Correlates with internal job level requirements.

- Location-based hybrid policy: Staff expected to be in one of our offices at least 25% of the time.

- Visa sponsorship: Available, with efforts to assist with visa applications.

## Skills

### Required
- cybersecurity
- machine learning
- RL techniques
- LLM training

### Nice to have
- security engineering
- fuzzing
- detection and response
- CTF competitions
- cyber ranges
- academic research

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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)