Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата не указанаПонятные задачиСовременный стекНа стыке ИИ и защиты
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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