Мы используем технические cookie и статистику посещений: Яндекс Метрику и собственный обезличенный журнал Zorky (cookie zk_aid). Не собираем содержимое форм, текст поиска и полный IP; данные не продаём. Отказаться можно кнопкой ниже, а также через Global Privacy Control или Do Not Track в браузере. Подробнее о cookie и статистике.
Zorky CRMZorky CRM
EN|RU
@termdocs
← Все вакансии

Research Scientist / Research Engineer, Automated Safety

office180,000 USD · период не указанLondon, GBСкор 62/1002д назад
Аналитика рынка
📊 AI / ML / DS: зарплаты и спрос на рынке
Стек
ai
Показать компанию и ссылку
Бесплатно. Вход по почте.
Откликнуться
Загрузите резюме — мы свяжем вас с работодателем напрямую через нашу базу.
Отправить резюме →
Описание
Your Impact at LILA We're building a talent-dense, high-agency AI safety team at Lila that will engage all core teams within the organization (science, model training, lab integration, etc.), to identify and mitigate risks from scientific superintelligence while retaining the core scientific discovery capabilities of the stack. The initial focus of this team will be to build and implement a bespoke safety strategy for Lila, tailored to its specific goals and deployment strategies. This will involve technical safety strategy development, broader ecosystem engagement, safety-focused evaluations, safety systems to mitigate risks, and a research agenda that explores longer-term needs such as oversight of superintelligent scientific systems. As scientific AI systems become more capable and autonomous, their safety assessment and safeguards must develop alongside them. At Lila Sciences, you will help build the research methods and tools that make this possible, so that more and more decision-enablers can be automated safely. This will move us closer to the vision of a safety and security apparatus that is robust to a fully autonomous scientific engine. Your initial focus will be misuse: developing flexible and automated red-teaming approaches that test safety-relevant scientific capabilities and the robustness of safeguards. You will also contribute to safety automation beyond red teaming, helping the team evaluate, monitor and respond to risks across increasingly autonomous sci
Полное описание, компания и ссылка на вакансию — после входа. Войти
Контакты работодателя (email/phone/telegram) скрыты из публичного превью — отправьте резюме, чтобы мы связали вас напрямую.
Срочный вопрос? Напишите @termdocs