Разработчик инфраструктуры RL-обучения Alice AI LLM

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: $3f * Знаете Python и имеете опыт системного программирования, разработки библиотек или фреймворков * Хорошо знакомы и работали на практике с фреймворком PyTorch и распределённым обучением через torch.distributed * Владеете подходами параллелизации: понимаете data parallelism, tensor parallelism, pipeline parallelism, expert parallelism для распределённого инференса или обучения * Интересуетесь LLM и MLOps: понимаете задачи и вызовы, которые связаны с эксплуатацией больших моделей в продакшне * Умеете эффективно работать в команде и делиться знаниями * Участвовали в создании инфраструктуры обучения ML-моделей * Внедряли и оптимизировали RL-решения * Работали с библиотеками RL-обучения для LLM: veRL, slime, NeMo-RL, SkyRL и другими, а также с библиотеками инференса: vLLM, SGLang и TRTLLM * Владеете C++ и имеете опыт низкоуровневого программирования и оптимизации * Имеете опыт с GPU NVIDIA: понимаете архитектуру GPU, разрабатывали или оптимизировали алгоритмы с 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