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Наша команда развивает продвинутые способности Alice AI LLM, обучая модели решать самые нетривиальные задачи. Ищем ML-разработчика. Откликайтесь, если уверенно программируете на Python и внедряли в продакшен…
Наша команда разрабатывает агентские сценарии для AI-приложений и отвечает за всестороннюю оценку и приёмку их качества. Ищем ML-разработчика. Приходите, если владеете Python, SQL и применяли методы анализа данных и…
Builds C++ perception and inference components for Yandex's humanoid robots: processing camera/sensor data, turning ML research prototypes into reliable on-board code, and optimizing it for limited compute. Core stack: modern C++, Linux, CUDA, TensorRT/ONNX Runtime/OpenVINO, OpenCV/PCL, ROS 2.
Senior backend engineer building cloud services that control Yandex's delivery robots: order intake, route planning, dispatch, and end-to-end tracking. Day to day means designing APIs and reliable, scalable microservices in Python and Go on PostgreSQL, plus hardening services with SRE practices like load/stress/failover testing, canary deploys and feature flags.
Yandex is hiring an ML developer for its reinforcement learning group working on autonomous vehicle motion planning. Day to day: train transformer-based RL models, experiment with rewards, architectures and training methods, and deploy the results into the car's driving pipeline. Stack: Python and PyTorch.
System administrator on Yandex's autonomous transport team, building and running the server and network infrastructure at self-driving test locations. Day to day: administer Linux servers and MikroTik network gear, keep services connected, secure and up to date, and build monitoring with dashboards and alerts.
Analyzes the quality of Yandex's Alice AI assistant: digs into LLM errors and user scenarios, helps migrate key scenarios (music, weather, places, device commands) to a new agentic LLM architecture with tool calling, and builds the quality-evaluation system (LLM-as-a-judge, evals, A/B tests, dashboards). Core stack: SQL, Python, statistics, large event logs.
Наша команда создаёт приложения, позволяющие автоматизировать поиск проблем безопасности и реагирования на угрозы. Приходите реализовывать инфраструктуру для системы анализа больших данных и интегрировать агентские…
Направление работы с роботами переходит от R&D‑стартапа к масштабному бизнесу. Нам нужен специалист, который поможет расти не просто количественно, а эффективно. Вы будете закладывать логику P&L и…
Builds and optimizes the infrastructure for serving large language models in production on GPU clusters: improving LLM inference speed and latency, creating diagnostics tooling, and applying quantization, pruning, and parallelization. Core stack: C++, Python, CUDA/NVIDIA GPUs, Transformer internals, and engines like vLLM and TensorRT-LLM.
Infrastructure developer optimizing the RL training pipeline behind Yandex's LLM/VLMs used in Alice, Search, and Ads: improving data delivery and checkpointing, inter-block communication, diagnostics tooling, and fault tolerance. Core stack: Python, PyTorch/torch.distributed, distributed parallelism, and CUDA/Triton on NVIDIA GPUs.
Yandex is hiring a team lead for embedded software in its autonomous transport unit: leading a 3+ developer team building C/C++ application software with RTOS for microcontrollers in autonomous car control units, including CAN-network integration, failure handling, code review, and debugging on real vehicles.
Lead a Yandex team building system software for multi-core microcontrollers in autonomous vehicle control units — drivers, RTOS services, bootloaders, board bring-up, plus build/CI infrastructure and HIL test stands. Core stack: C/C++, RTOS, UART/SPI/I2C/CAN/Ethernet, CI/CD, Docker, Bash/Python.
Application-security engineer on the security team for Yandex's Verticals (Auto.ru, Yandex Travel, Real Estate/Rentals). Day to day: finding vulnerabilities in source code, APIs, and mobile/web apps, running security design reviews and audits, rolling out DevSecOps tooling (SAST, DAST, SCA), and consulting development teams on secure practices.
Backend developer on Yandex's team building a platform and sandbox infrastructure for training and evaluating AI agents. Day to day: safely running arbitrary code in sandboxes, managing container lifecycles and resources at scale, and improving the platform's API, Python SDK, CLI and web UI. Core stack: Go or Python, containers/Kubernetes, distributed systems.
Мы ищем талантливых бэкенд‑разработчиков в команду Яндекс Go для бизнеса. Присоединяйтесь к нам, чтобы создавать продукты, которыми пользуются сотни тысяч компаний по всему миру! Разработка серверной логики и API Вы…
DIKIDI — SaaS‑сервис для управления бизнесом в сфере услуг. Мы помогаем компаниям работать с онлайн‑записью, клиентской базой, финансами и маркетингом. Вам предстоит возглавить команду из трёх продуктовых аналитиков,…
Develop C++ services for Yandex Search's index-building team: design the migration of the main search base (hundreds of billions of documents) from batch MapReduce to event-driven stream processing, evolve search indexes with ranking teams, and improve related services like favicons and duplicate detection. Core stack is C++, with big data and streaming experience plus Python as bonuses.
Builds and maintains systems to track, explain, and improve ecommerce product metrics using Python, SQL, and data engineering.
ML engineer on Yandex's self-driving pretraining team trains large generative/transformer models for vehicle motion planning: experimenting with architectures and methods from research papers, curating datasets of challenging driving scenarios, and deploying models into the car's pipeline. Core stack is Python with PyTorch or TensorFlow.
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