Build and scale high-throughput real-time data pipelines for a leading rewarded advertising platform's AI systems. Key responsibilities include optimizing distributed data systems and enabling intelligent decision-making at scale. Requires 5+ years of data engineering experience with Flink, Kafka, and Java, plus AWS and ML/DS collaboration.
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Job Description
Our client is building the intelligence layer behind one of the world's largest rewarded advertising platforms, helping 770+ million users discover and engage with new mobile apps every year. Their machine learning systems make 200+ million decisions daily, processing 100,000+ predictions per second from a 1PB+ behavioural data platform. Backed by a $100 million strategic investment, they're expanding the engineering team responsible for the real-time data infrastructure powering next-generation AI systems.
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