Лид экспертной аналитики в Alice AI

Расширенная медицинская страховка начинает работать с первого месяца в Яндексе. В неё входят: В Яндексе есть всё, чтобы постоянно развиваться и учиться новому: Мы любим спорт и считаем его важной частью хорошего самочувствия каждого яндексоида. Поэтому у нас есть: Enhanced medical insurance begins from your first month at Yandex. It covers health care services at clinics and hospitals, whether for emergency care, surgeries, routine visits in your home country or abroad, medical tests and diagnostics, dental care, accident insurance, etc. At Yandex, we have everything you need for continuous growth and learning: an internal educational platform, mentoring, and programs for both beginners and experienced leaders. At Yandex's big offices, we have our own fully equipped gyms. There, you can work out independently or with a trainer. We love sports and consider it an important part of every Yandex employee's well-being. That's why we have: Наша команда развивает качество ключевой LLM-технологии компании — Alice AI LLM. Мы работаем над тем, чтобы наши модели становились умнее, полезнее и надёжнее, и ищем лида экспертной аналитики, который поможет нам двигаться ещё быстрее. Мы создаём новые метрики, проектируем процессы сбора и валидации данных, глубоко анализируем поведение моделей и выводим их на новые уровни качества. Особое внимание уделяем росту качества в экспертных срезах — областях, где корректность ответа может оценить лишь небольшое количество специалистов с профильным образованием и опытом. В таких задачах важно не только оценить вывод модели, но и определить авторитетные источники, проверить корректность аргументации и предложить визуализацию идеального, эталонного ответа. * Управляли командой аналитиков не менее трёх лет * Любите работать с данными и умеете извлекать из них практический результат * Знаете математическую статистику и теорию вероятностей * Умеете писать код на Python и знаете алгоритмы * Самостоятельны и готовы браться за новые задачи, для которых нет готового решения * Интересуетесь развитием LLM и хотите глубоко погрузиться в тему 1:"$Sreact.fragment" 3:I[91373,[],""] 4:I[28825,[],""] 13:I[59536,["5144","static/chunks/5144-ab34660025cf6f7f.js?dpl=5_22_2","3467","static/chunks/3467-[contact omitted]b1673.js?dpl=5_22_2","4219","static/chunks/app/global-error-23401ec313d1fac8.js?dpl=5_22_2"],"default"] 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