Shape the future of personalized audio by designing backend systems that power intelligent music and podcast recommendations. You'll play a key role in developing features that anticipate listener preferences, from conversational playlist creation to adaptive playback experiences that evolve with user behavior.
What You’ll Do
- Design and implement scalable backend services that drive personalized content delivery
- Build systems that enable natural-language interactions for playlist generation
- Develop adaptive logic that gives users intuitive control over their listening journey
- Work closely with data science and machine learning teams to integrate intelligent models into real-time systems
- Partner with product, design, and research to align technical solutions with user needs
What We’re Looking For
You have a strong foundation in backend engineering and a track record of delivering systems that scale to massive audiences. You thrive at the intersection of technical complexity and user-centric design, with an understanding of how music and audio experiences can be enhanced through intelligent backend logic.
- Proven experience building and maintaining high-throughput backend services
- Ability to navigate challenges at the crossroads of engineering, user experience, and content discovery
- Familiarity with personalization pipelines or recommendation systems is a plus
- Experience in music, audio, or podcast domains is beneficial
- Collaborative mindset with experience working alongside machine learning and data science teams
