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Описание вакансии
Текст:
TL;DR
Research Engineer, Cybersecurity (AI and defensive security): Building reinforcement-learning environments and evaluations to improve AI models in secure coding, vulnerability discovery, and remediation with an accent on cybersecurity research, machine learning, and production training. Focus on designing experiments, integrating successful methods into training runs, and grounding evaluations in realistic defensive workflows.
Location: Zürich, Switzerland; hybrid with at least 25% office attendance
Company
Anthropic develops reliable, interpretable, and steerable AI systems designed to be safe and beneficial.
What you will do
- Design, build, and maintain reinforcement-learning environments and evaluations for secure coding, vulnerability discovery, remediation, and defensive security.
- Run experiments on new AI training approaches and deliver successful results into production training runs.
- Partner with researchers, engineers, and cybersecurity specialists to identify defensive workflows that AI can strengthen.
- Collaborate with external cybersecurity experts and organizations to create realistic environments and evaluations.
- Contribute to team strategy, including research priorities, partnerships, and investment areas.
- Participate in an on-call rotation as needed.
Requirements
- Experience in cybersecurity research or applied security work.
- Experience with machine learning and the ability to combine research exploration with engineering implementation.
- Commitment to developing safe and beneficial AI systems.
- Bachelor’s degree or equivalent education, training, or professional experience in a relevant field.
- Ability to work from the Zürich office at least 25% of the time.
Nice to have
- Professional experience in security engineering, fuzzing, detection and response, or other applied defensive security work.
- Experience participating in or building CTF competitions and cyber ranges.
- Academic research experience in cybersecurity.
- Familiarity with reinforcement-learning techniques and environments.
- Familiarity with LLM training methodologies.
Culture & Benefits
- Collaborative research environment focused on large-scale AI research.
- Frequent research discussions and emphasis on communication.
- Competitive compensation and benefits.
- Optional equity donation matching, generous vacation, and parental leave.
- Flexible working hours and an office designed for collaboration.
- Visa sponsorship is available, with immigration-lawyer support, subject to role and candidate eligibility.
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