Разработчик качества поисковой платформы Nova (Core & Agentic Search)

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 Лёша Забелин, руководитель службы блендинга. Мы строим платформу Nova, которая позволит десяткам поисков Яндекса запускаться и развиваться в разы быстрее. Идея в том, чтобы команды могли декларативно описывать требования к релевантности и интеграциям, а система сама собирала ранжирование, evaluation и подключение к продуктам вроде Алисы. Ищу в команду человека, который не боится экспериментов, готов генерировать идеи и реализовывать их. Для ваших инициатив у нас найдутся и масштаб, и свобода. В Яндексе существует множество вертикальных поисков: товары, путешествия, недвижимость, афиша, музыка. У каждого из них своя логика ранжирования, метрики качества и интеграции с продуктами вроде Алисы. Мы хотим собрать из этого единую платформу поиска, где команды смогут описывать требования к релевантности и интеграциям декларативно, а инфраструктура будет автоматически строить ранжирование, evaluation и подключение к агентам. В основе платформы — современные LLM и ML-подходы: от компиляции политик релевантности до дистилляции моделей ранжирования и стандартных интерфейсов для агентов. * Обучали LLM или BERT-модели * Уверенно владеете Python и работаете с SQL * Увлечены ML, аналитикой и интеграцией моделей в реальные сервисы * Хорошо разбираетесь в алгоритмах и структурах данных * Работали с поиском или рекомендациями 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"] :HL["https://jobs.s3.yandex.net/static/career_id_www/_next/static/css/bd0e9129e084e758.css?dpl=5_22_2","style",{"crossOrigin":"","nonce":"YzU3YzJmNTEtYTAwZi00ZjlkLThhY2MtZDhmYjRhNWE3MDRk"}] 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