ML-разработчик в команду Alice AI VLM Agents

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: Привет, я Данил, руковожу командой Alice AI VLM Agents. Мы превращаем мультимодальную модель в агента: она не просто отвечает по изображению, а действует — планирует шаги, вызывает инструменты, работает с внешними системами и решает визуальные задачи как в продовых, так и в непродовых средах. Там, где раньше нужен был человек, теперь должна справляться модель, предсказуемо и безошибочно пользуясь инструментами. Это одна из самых интересных зон в современном ML: здесь нужно одновременно понимать, как устроены сильные VLM, как заставить модель планировать действия и безошибочно пользоваться инструментами, как выстроить агентские среды для обучения и оценки — и как превратить всё это в функции, которыми в продуктах Яндекса будут пользоваться миллионы людей. У нас много настоящего ресёрча и быстрый цикл внедрения: хорошие идеи не остаются в презентациях, а доходят до реальной модели и пользовательских сценариев. * Хорошо знаете ML и уверенно ориентируетесь в современных LLM или VLM * Имеете практический опыт в CV, NLP или мультимодальном обучении * Знакомы с Reinforcement Learning и понимаете, где RL-подходы применимы * Понимаете, как строятся агенты и tool calling поверх LLM или VLM, или хотите этим заниматься * Умеете формулировать гипотезы, ставить аккуратные эксперименты и делать выводы по результатам * Работали с агентами, автономными пайплайнами или RL в интерактивных средах * Обучали большие модели или large-scale ML-системы * Знакомы с tool calling, агентными пайплайнами или обучением моделей работе с внешними инструментами — в том числе в продовых и непродовых средах * Понимаете ограничения современных VLM и следите за трендами в области агентов и tool-augmented-моделей 1:"$Sreact.fragment" 3:I[91373,[],""] 4:I[28825,[],""] 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