Spotify, the world's leading audio streaming platform, is seeking a Data/Backend Engineer II for their Content Understanding team. This role focuses on defining and building ML systems deployed at scale, supporting a wide range of use cases in media and catalog understanding. The ideal candidate will have strong experience in ML Ops and supporting Machine Learning systems at scale in production, with a specific focus on NLP/LLMs.
As part of this role, you'll build large-scale data pipelines, work closely with Machine Learning engineers to design and deploy high-availability services, and drive optimization and quality improvements. You'll be working in an agile, multi-functional team environment that encourages experimentation and continuous delivery.
The position requires 3+ years of professional experience in a product-facing environment, with expertise in distributed systems, high-volume data processing, and cloud environments like GCP or AWS. You should be proficient in Java or Scala and have a strong understanding of system design, data structures, and algorithms.
Spotify offers a dynamic work environment that supports individual growth, providing ambitious tasks and the time needed to acquire new skills. The company values diversity and inclusion, welcoming employees from all backgrounds to contribute to their mission of unlocking human creativity through music and podcasts.
Join Spotify in revolutionizing the way the world listens and be part of a team that's passionate about pushing the boundaries of technology in the audio streaming industry.