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Brave
Brave

AI Security Researcher/Research Engineer

УдалённоНе указано. Оценка: Великобритания · уверенность 89 %
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Синьор
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В объявлении не сказано, откуда нанимают. Возможно, нанимают из Великобритания (уверенность 89 %). Это оценка, а не правило допуска — проверьте перед откликом.Сигналы: указанная локация вакансии и офисы компании.

Коротко по делу

We are looking for a researcher/research engineer to help mitigate the security risks that come with building AI systems-especially LLM-powered web agents and chatbots. In this role, you'll design and implement secure-by-design architectures, audit our LLM-powered web agent and chatbot, and help set Brave's direction on how we identify, measure, and reduce security risk across AI products.

Обязательные навыки

PythonPyTorchJAX

Обязательные языки

English unknown

Чем предстоит заниматься

  • Design and execute adversarial evaluations to uncover failure modes in LLM-powered web agents and chatbots (e.g., prompt injection, tool abuse, data exfiltration)
  • Analyze model behavior (including internal thoughts) to understand and forecast security risks in frontier models
  • Develop and prototype security-focused training and fine-tuning techniques
  • Augment web agents with security principles including information flow control, privilege control and contextual security
  • Partner with engineers and (privacy, ML, and Cryptographic) researchers to translate findings into product changes, tests, and measurable security improvements
  • Help define a forward-looking security strategy and policy for building and responsibly releasing web agents—advocating for user protection

Что требуется

  • Demonstrated experience working on Secure AI (prompt injection attacks and security guardrails)
  • Strong publication record in AI security, ML security, or closely related areas
  • A track record of shipping products and features inside a fast-moving environment
  • Strong coding skills in Python and familiarity with ML frameworks like PyTorch or JAX
  • Experience training, fine-tuning, and evaluating large language models
  • Deep familiarity with large language models and web agents, how they work, and how they are trained
  • Experience applying security principles (e.g., information flow control, access control/least privilege)
  • Demonstrated success in bringing clarity and ownership to ambiguous technical problems
  • A Ph.D. in computer science strongly preferred, but industry experience with exceptions may be considered

Преимущества

  • Ability to work at an exciting and well-funded international startup headquartered in San Francisco
  • Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions
  • Competitive compensation and plenty of room for personal growth
  • Great international exposure and team atmosphere

Brave is building a safer, faster, more private browsing experience and privacy-respecting independent search technology, serving over 120 million monthly active users.

TechnologyСредняяbrave.com
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