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

Software Engineer, ML Infrastructure, Core Inference, Level 4

office~$15.3K /moSeattle, USСкор 76.5/1001д назад
Аналитика рынка
📊 Data Engineer: зарплаты и спрос на рынке
Стек
fine-tuningflinkjavallmpythonpytorchscikit-learnsparktensorflow
Откликнуться
Загрузите резюме — мы свяжем вас с работодателем напрямую через нашу базу.
Отправить резюме →
Описание
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company operates Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc. , a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji , Saturn, and other digital services. Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront. We’re looking for a Software Engineer to join the Core Inference team , part of the core ML Platform organization. Our team builds and owns the machine learning infrastructure that powers personalized experiences across Snap. As a centralized ML platform team, we enable teams across the company to deploy, optimize, and serve sophisticated machine learning models reliably and efficiently at scale. We own the end-to-end inference stack for recommendation models, embedding-generation models, and self-hosted large language models. Our platform supports nearly every major orga
Контакты работодателя (email/phone/telegram) скрыты из публичного превью — отправьте резюме, чтобы мы связали вас напрямую.
Срочный вопрос? Напишите @termdocs