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Leads a team developing safety algorithms for autonomous trucks, ensuring compliance with traffic rules, risk assessment, and trajectory planning using C++ and ML.
Build Yandex's next-generation distributed search indexing system (Search-as-a-Service) in C++ — processing billions of documents and petabytes of data with low-level performance tuning, streaming and full-rebuild indexing modes, and a from-scratch approximate kNN/vector search engine for AI and RAG scenarios. Heavy focus on architecture, R&D, and squeezing maximum performance from hardware.
Develops the core of Yandex's search engine — a high-load distributed C++ runtime behind Search-as-a-Service. Day to day: designing query-execution graphs, evolving index tech (inverted index, HNSW, KD-trees), building an SDK and diagnostics tooling, and designing a new search query language.
ML developer on Yandex Delivery builds and ships ML models end to end: forecasting courier arrival, waiting, and travel times, improving order assignment and batching, detecting route deviations, and building LLM/RAG agent products for order comments. Core stack is Python, SQL, and big data, with A/B experiments and monitoring in high-load production services.
System developer optimizing Yandex’s internal container cloud (Runtime Cloud), focusing on kernel-level Linux improvements, network stack performance, and distributed service scaling for high-throughput workloads.
C++ developer on the YDB Query Processor team at Yandex, working on distributed query execution in YDB — an open-source fault-tolerant relational DB. Day-to-day: building query features, distributed planning and workload management, PostgreSQL compatibility, and improving the optimizer and indexing. Requires strong C++, SQL, and multithreading skills.
Develop the C++ microservices backend for Yandex Zabota's fast-growing insurance platform built on the userver framework: launch partner integrations and product features, build reusable platform components (pricing, scoring, billing), and solve high-load infrastructure challenges at thousands of RPS and 10k+ contracts per day.
Senior C++ backend developer on Yandex Zabota, a fast-growing insurance service: build and scale the userver-based microservices platform (pricing, scoring, billing, partner integrations) from thousands toward tens of thousands of RPS. Core stack: C++, Python, PostgreSQL, Linux; options for IC, tech-lead, or people-management tracks.
Backend developer on Yandex Lavka's courier logistics team in Moscow, building Go/C++ microservices that power the 15–20 minute grocery delivery service. The work spans re-architecting legacy services, distributed systems, PostgreSQL and message queues, plus adopting AI-assisted development workflows.
Backend developer on Yandex Delivery's cargo (B2B freight) vertical: writes C++ (uServices) and Python/Pytest tests for high-load and new services, builds new delivery scenarios, automates B2B client acquisition/servicing, and integrates antifraud. Based in a central Moscow office.
Backend developer on Yandex Lavka's promo team in Moscow, building and improving discount, promo-code and gamified loyalty mechanics for the quick-delivery service. Daily work centers on C++ microservices with PostgreSQL, message queues and the userver framework, designing fault-tolerant, scalable distributed architecture.
Яндекс Еда — сервис, который связывает тысячи клиентов и ресторанов, делая процесс заказа и доставки еды максимально удобным и доступным. Наша команда поддерживает и улучшает страницы ресторанов. Ищем в команду…
Вы поможете нам развивать ML-инфраструктуру поиска и рекомендаций Яндекс Еды. Для нас одинаково важны скорость разработки, надёжность системы и эффективное использование вычислительных ресурсов. Основная часть сервисов…
QA engineer testing Alice’s voice and LLM-powered features across platforms, writing test docs, and collaborating with devs and PMs to ensure high quality.
Вы возглавите ML-команду и будете отвечать за разработку базовых технологий для AI-сервисов Yandex Cloud. Наш фокус — создание мультитенантных поисковых и классификационных моделей. Ждём, что вы разрабатывали и…
ML developer on Yandex Eda's logistics efficiency team building production models for cooking/delivery time prediction, courier churn and retention, and order volume estimation, owning the full ML cycle from data collection to production monitoring. Core stack: Python, C++, SQL, ML and statistics.
Develops C++ algorithms for autonomous vehicle motion planning, optimizing performance and building high-load multithreaded systems.
Мы — команда ML-аналитиков, которая отвечает за безопасность и качество рекламы в Яндекс Директе. Ищем ML-специалиста с опытом разработки агентских пайплайнов. Приходите, если вам интересно разбираться в схемах…
Наша команда развивает приложение Яндекс Про, с которым работают водители Яндекс Такси. Мы уделяем большое внимание как самому продукту, так и гибкости, масштабируемости и устойчивости технических решений. Ищем…
Мы — команда разработки сервисов контроля качества Яндекс Такси. Доверие пользователей это одна из основ стабильного и быстро растущего бизнеса. Наши разработки помогают бизнесу делать сложные процессы простыми. Запуск…
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