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Machine Learning Engineer (Kandinsky)

Sber • Russian: C1 • English: B2 • LLM & Generative AI • Cloud Platforms (IaaS & PaaS) • Python • 9 hours ago
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Location
In office (Moscow)

Confirmed on the employer's own hiring board on Oct 5, 2026. First seen by Alion on Oct 5, 2026. Sber scores A on the Alion truth index.

Overview
Company
Impact
Profile match

Sber

Sber is Russia's largest bank and the centre of one of the country's biggest technology ecosystems, tracing its origins to savings institutions established in 1841. It serves over a hundred million retail customers and several million businesses through branch, mobile and web channels, and holds a dominant share of the national deposit, lending and payment markets. Over the past decade the group has built out an ecosystem well beyond banking, spanning e-commerce, food delivery, streaming media, cloud infrastructure, devices and the GigaChat family of large language models developed by its own AI research teams.
sber.ru • HQ: Moscow, Russia • Cloud Platforms (IaaS & PaaS) • LLM & Generative AI • Investment Banking & M&A Advisory • Wealth Management & Financial Advisors • Commercial & Retail Banks • 5000+ employees • Est. 1841
Tech stack of Sber
Backed by Sber500

Оптимизируем наши модели под форматы популярных инференсных фреймворков. Задача создание инфраструктуры для эффективного инференса наших моделях во всех популярных фреймворках: Diffusers, FastVideo, SGLang, vLLM, Comfy-UI. А также создание воркеров для доступа к инференсу наших моделей на fal.ai, Arena.ai и др.

Обязанности

  • Разработка и оптимизация high-load пайплайнов распределенного инференса (PyTorch) с использованием FSDP, Tensor/Sequence Parallelism.
  • Имплементация моделей в популярных фреймворках: Diffusers, SGLang, vLLM, FastVideo, Comfy-UI, Transformers
  • Развертывание воркеров для инференса моделей

Требования

  • Экспертный уровень Python, PyTorch, torch.distributed.
  • Опыт масштабного инференса моделей с FSDP/TP/PP.
  • Понимание работы разных типов данных (bf16, fp8).
  • Опыт работы с SGLang, vLLM, Transformers
  • Понимание принципов работы диффузионных моделей
  • Английский язык B2+

Условия

  • комфортный современный офис рядом с м. Кутузовская
  • ежегодный пересмотр зарплаты, годовая премия
  • корпоративный спортзал и зоны отдыха
  • система обучения для профессионального и карьерного развития
  • расширенный полис ДМС с первого дня работы и страхование для семьи
  • льготная программа ипотеки для сотрудников
  • бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров
  • вознаграждение за рекомендацию друзей в команду Сбера.
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