Роль четко определена с акцентом на кибербезопасность и ИИ, поддерживается уважаемой продуктовой компанией. Однако отсутствие информации о зарплате затрудняет полную оценку привлекательности предложения.
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Сильная компанияЧеткие обязанностиГибридный формат работыЗарплата не указана
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Research Engineer, Cybersecurity RL (Reinforcement Learning) (AI/cybersecurity): Building reinforcement learning environments, agentic integrations, and production training workflows for defensive cybersecurity, with an accent on incident response, security analysis, vulnerability remediation, and experimental evaluation. Focus on designing autonomous investigation systems, conducting research experiments, and delivering machine learning capabilities into production while collaborating with cybersecurity specialists.
Location: Zürich, Switzerland. Hybrid policy: staff are expected to work from an Anthropic office at least 25% of the time; some roles may require more office time.
Company
Anthropic develops reliable, interpretable, and steerable AI systems with a focus on safety and beneficial use.
What you will do
Design and implement reinforcement learning environments, experiments, evaluations, and production training runs.
Develop agentic integrations that enable AI systems to autonomously investigate and act on analytical findings.
Build defensive cybersecurity solutions for incident response, security analysis, and vulnerability remediation.
Partner with researchers, safety teams, engineers, and cybersecurity specialists to understand analytical needs and deliver solutions.
Contribute to strategic decisions about technical investments, partnerships, and team direction.
Participate in an on-call rotation when required.
Requirements
Experience with machine learning and cybersecurity research.
Strong software engineering skills and the ability to balance research exploration with implementation.
Bachelor’s degree or an equivalent combination of education, training, and experience in a relevant field.
Ability to work from the Zürich office at least 25% of the time under the hybrid policy.
Nice to have
Professional experience in security engineering, fuzzing, detection and response, or applied defensive cybersecurity.
Experience participating in or building CTF competitions and cyber ranges.
Academic or experimental research experience in cybersecurity.
Familiarity with reinforcement learning techniques, RL environments, and LLM training methodologies.
Culture & Benefits
Collaborative research environment focused on large-scale AI research and empirical experimentation.
Frequent research discussions and cross-functional collaboration.
Competitive compensation and benefits, including generous vacation and parental leave.
Flexible working hours, optional equity donation matching, and an office designed for collaboration.
Visa sponsorship is available, with immigration lawyer support, although sponsorship cannot be guaranteed for every role or candidate.
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