BIGO operates two AI-powered social platforms—Bigo Live for live-streaming and Likee for short video—with a global footprint of 30+ offices and 6 R&D centers. The tech stack spans real-time data infrastructure (Kafka, Flink, Storm, Spark) alongside ML frameworks (TensorFlow, PyTorch) and traditional BI tools, reflecting a dual focus on streaming performance and analytics. Active projects cluster around recommendation ranking, ad quality, and creator monetization, while hiring skews heavily toward marketing and operations roles—a pattern typical of platforms at scale managing creator ecosystems and advertiser relationships.
BIGO is a Singapore-based social media and live-streaming company founded in 2014, now operating across 1,001–5,000 employees globally. The company runs two primary products: Bigo Live, a live-streaming platform, and Likee, a short-form video app, collectively reaching around 400 million monthly active users in more than 150 countries. The infrastructure supports real-time communications (RTC), content moderation at scale, and algorithmic ranking across two distinct creator ecosystems. Revenue streams include creator monetization, advertising, and agency partnerships. The organization is structured around platform scaling: creator acquisition and retention, advertiser onboarding and campaign management, and real-time violation detection.
BIGO uses Java, Go, Python, and C++ for services; Apache Flink, Storm, Kafka, and Spark for streaming data; TensorFlow and PyTorch for ML; Hadoop and Hive for batch processing; and Adobe Creative Suite for content production.
BIGO is headquartered in Singapore and operates 30+ offices and 6 R&D centers globally across more than 150 countries.
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