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Über
Design and operate services that deliver personalized recommendations in real time Build and maintain large-scale batch pipelines that process user signals for recommendations Collaborate with data scientists to operationalize research ideas and improve user music discovery
Required qualifications
Several years of experience as a Backend Engineer with strong Java skills and familiarity with gRPC and Protocol Buffers Hands-on experience with large-scale data pipelines, ideally using Apache Beam/Scio or similar frameworks Comfortable working across the full backend stack, including online serving and offline data Curiosity about recommendation systems and a focus on improving user experiences Experience with GCP and Elasticsearch is a plus
Sprachkenntnisse
- English
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