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5 дней назад

Principal AI Research Scientist (Cybersecurity)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Principal AI Research Scientist (Cybersecurity) (AI/LLMs): Conducting hands-on research on frontier AI models, reasoning, agents, and multimodal systems with an accent on benchmarking, evaluation frameworks, and rapid experimental pipelines. Focus on identifying model limitations, building prototypes, evaluating security-related capabilities, and translating customer challenges into actionable research outcomes.

Location: Ramat Gan, Israel; Israel or the UK

Company

hirify.global is a trust, safety, and security company focused on protecting AI systems, online platforms, and communicative technologies across the AI lifecycle.

What you will do

  • Conduct hands-on research in frontier AI models, reasoning, agents, and multimodal systems.
  • Design and iterate on AI benchmarks, evaluation frameworks, and experimental pipelines.
  • Execute rapid research cycles from hypotheses and experiments to prototypes and validated findings.
  • Identify model limitations, evaluation gaps, and emerging research opportunities.
  • Work with customers and technical stakeholders to translate complex challenges into actionable research.
  • Collaborate with engineering and product teams to turn research findings into practical solutions.

Requirements

  • PhD or MSc in Computer Science, AI, Machine Learning, or a related field, with strong relevant research experience.
  • Strong publication record at leading AI/ML conferences such as NeurIPS, ICML, ICLR, or ACL.
  • Advanced Python and PyTorch skills, with experience building and evaluating complex AI systems.
  • Ability to independently design, implement, and execute research experiments within short development cycles.
  • Deep understanding of LLMs, foundation models, benchmarking, and evaluation methodologies.
  • Strong analytical and communication skills for a fast-paced, customer-driven research environment.

Nice to have

  • Experience at frontier AI labs such as OpenAI, Anthropic, or Google DeepMind.
  • Experience applying AI to cybersecurity, including autonomous security agents, vulnerability research, penetration-testing automation, or security operations.
  • Experience with AI security, LLM red teaming, adversarial machine learning, prompt injection, or agentic AI security.
  • Familiarity with CTFs, sandboxed exploitation environments, code analysis, and security testing frameworks.
  • Experience developing cybersecurity benchmarks or evaluating frontier models on complex security tasks.

Culture & Benefits

  • Fast-paced research environment focused on practical, high-impact outcomes.
  • Work directly with customers, engineering teams, and product stakeholders.
  • Contribute to AI safety and security solutions used across frontier model labs, enterprises, and online platforms.

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