Чёткая исследовательско-инженерная роль в ведущей AI-лаборатории с работой над масштабным reinforcement learning и защитной кибербезопасностью; главное практическое ограничение - обязательное присутствие в офисе.
Выше рынка
Передовой AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Research Engineer, Cybersecurity RL (Cybersecurity/AI): Developing reinforcement learning environments, experiments, evaluations, and production training runs to advance models in secure coding, vulnerability remediation, and defensive cybersecurity with an accent on cybersecurity research, machine learning, and safe AI development. Focus on designing novel RL approaches, implementing them in code, and collaborating across research, engineering, and cybersecurity.
Location: San Francisco, CA or New York City, NY; hybrid policy requires staff to be in an Anthropic office at least 25% of the time, with some roles requiring more office time.
Salary: $500,000–$850,000 USD annual salary
Company
Anthropic develops reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.
What you will do
Develop novel approaches for safely advancing AI capabilities in secure coding, vulnerability remediation, and defensive cybersecurity.
Design and implement reinforcement learning environments.
Conduct experiments and evaluations and deliver results into production training runs.
Collaborate with researchers, engineers, and cybersecurity specialists across and outside Anthropic.
Requirements
Experience in cybersecurity research.
Experience with machine learning.
Strong software engineering skills.
Ability to balance research exploration with engineering implementation.
Passion for AI’s potential and commitment to developing safe and beneficial systems.
Bachelor’s degree or an equivalent combination of education, training, and experience.
Relevant field of study demonstrated through coursework, training, or professional experience.
Required years of experience correlate with the internal job level requirements.
Nice to 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.
Familiarity with reinforcement learning techniques and environments.
Familiarity with LLM training methodologies.
Culture & Benefits
Collaborative research environment focused on a small number of large-scale AI research efforts.
Frequent research discussions and emphasis on communication skills.
Flexible working hours and office-based collaboration.
Visa sponsorship may be available; sponsorship success depends on the role and candidate, with immigration lawyer support.
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