Short-form video and live e-commerce platform with recommendation AI
Kuaishou operates the second-largest short-video platform globally and a major live-streaming e-commerce business, powered by recommendation algorithms built on large-scale content and user-behavior data. The tech stack emphasizes ML infrastructure (PyTorch, TensorFlow, DeepSpeed) and data processing (Hadoop, Spark, Kafka), reflecting the heavy compute and inference demands of real-time content ranking. Active projects cluster around three areas: merchant onboarding and seller engagement (commercial scaling), model training and data bottleneck analysis (AI infrastructure), and advertising risk control—signaling operational pressure to grow merchant revenue while managing compliance and quality.
Kuaishou Technology, founded in 2011 and headquartered in Beijing, is a public company operating two major consumer platforms: a short-video community with real-time livestreaming, and an integrated e-commerce layer serving merchants and consumers. The company reports over 20,000 employees and operates globally, with a dedicated international short-video app (Kwai) for markets outside China. Revenue is driven by advertising, live-streaming tips, and merchant commissions on goods sold. The recommendation engine—the technical core—processes user engagement signals and content metadata at scale to surface relevant videos and sellers to each user.
Kuaishou operates a short-video content platform (the second-largest by global DAU) and a live e-commerce platform (the second-largest by GMV), plus Kwai, an international version. Revenue comes from advertising, livestream monetization, and e-commerce commissions.
Kuaishou is currently hiring in Brazil, the United States, and China. Recent hiring velocity is accelerating across 19 active roles.
Core stack includes Hadoop, Apache Spark, Kafka, and Hive for data processing; PyTorch, TensorFlow, and DeepSpeed for ML training; and Python, Java, C/C++ for development. FFmpeg and OpenCV handle video processing.
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