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ML Engineer — Omnimodal Full-Duplex

Sber · Russian: C1 · LLM & Generative AI · Cloud Platforms (IaaS & PaaS) · Python · 14 days ago
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Salary
≈ $20k – $51k per year (Estimated)
Location
In office (Moscow)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 8, 2026. First seen by Alion on Oct 26, 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

Ищем Middle / Senior ML Engineer / Researcher в исследовательскую команду для разработки омнимодального Full-Duplex - архитектуры, которая слышит, говорит, нативно понимает перебивания и одновременно работает с аудио, текстом и визуальной информацией в реальном времени.

Обязанности

  • разработка экспериментов и постановка научных гипотез, исследование и критический разбор state-of-the-art подходов (speech2speech, omnimodal full-duplex, multimodal LLMs)
  • разработка full-duplex мультимодальных архитектур
  • интеграция речи, текста и визуальных модальностей в единую архитектуру
  • написание и публикация научных статей на профильных площадках
  • подготовка воспроизводимых артефактов (код, конфиги, чекпоинты, model/data cards)
  • релиз открытых бенчмарков и leaderboard'ов
  • организация workshop'ов и специальных сессий, внешние коллаборации с университетскими лабораториями

Требования

  • отличный Python 3, опыт с PyTorch, bash, git, Docker, dvc, HF Transformers
  • хорошее понимание ASR, TTS, DSP ML, speech & audio processing
  • понимание трансформеров, attention-механизмов, KV-cache, diffusion
  • навыки работы с большими датасетами аудио
  • опыт работы с streaming / real-time системами
  • понимание MLOps-практик: мониторинг моделей, дрейф данных, CI/CD
  • умение быстро разбирать и воспроизводить идеи из научных статей

Будет плюсом:

  • опыт работы в доменах речи, музыки или с голосовыми ассистентами
  • знание мультимодальных LLM / VLM / Audio-LM
  • публикации или исследовательский бэкграунд

Условия

  • комфортный современный офис - м. Кутузовская
  • ежегодный пересмотр зарплаты, годовой бонус
  • корпоративный спортзал и зоны отдыха
  • более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
  • расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
  • гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
  • подписка Прайм с возможностью совместного использования на трёх близких
  • вознаграждение за рекомендацию друзей в команду Сбера
  • корпоративная пенсионная программа.
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