Search, ML-powered services, autonomous vehicles, and on-demand transportation at scale
Yandex operates a diversified technology company spanning search, transportation, navigation, and streaming across 34 offices worldwide. The tech stack reveals heavy investment in ML infrastructure (Python, JAX, TensorFlow, PyTorch, transformers) paired with embedded systems tooling (FreeRTOS, Zephyr, I2C, UART) — a combination that signals serious autonomous vehicle and hardware engineering capability. Active projects confirm this direction: behavior planning for autonomous trucks, LLM alignment, MLOps scaling, and production transition in China, alongside optomechanical device manufacturing. Hiring skews heavily toward senior engineering roles, matching the infrastructure and autonomy roadmap complexity.
Yandex is a public technology company (NASDAQ-listed since 2011) headquartered in Moscow and operating across Russia, China, and Serbia. The company builds consumer and business services anchored in machine learning: web search and information services, on-demand transportation (ride-hailing and robo-delivery), navigation products, media streaming, e-commerce, and classifieds. A growing segment focuses on autonomous vehicle systems — both software (behavior planning, decision-making) and hardware (optomechanical devices, sensors). The organization operates at 10,000+ employees across four continents, managing challenges around manufacturing scale, international team coordination, and moving new products from prototyping into production.
Core ML stack: Python, JAX, TensorFlow, PyTorch, transformers. Hardware/embedded: FreeRTOS, Zephyr, Embedded Linux, I2C, UART, Bluetooth, Wi-Fi. Infrastructure: Linux, Bash, Oracle. Office tools: Excel, Microsoft Office, PowerPoint.
Autonomous vehicle systems (behavior planning, ML techniques, component integration), LLM development (multilingual, fast inference, alignment), MLOps scaling, production expansion in China, hardware projects (optomechanical devices, robo-delivery), and end-to-end project management infrastructure.
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