Backend Engineer - Personalization

Job Summary

To enhance user experiences through personalized music recommendations, the full-time Backend Engineer - Personalization will design and operate services for real-time recommendations, build large-scale batch pipelines, and collaborate with data scientists, all while working remotely within the North Americas region.

Key responsibilities

• 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