Senior Machine Learning Infrastructure Engineer, Music

2 weeks ago


Stockholm, Stockholm, Sweden Spotify Full time
About the Role

We're seeking a highly skilled Machine Learning Infrastructure Engineer to join our team and help us build the next generation of AI-based audio understanding technologies. Our team is expanding the state of the art in AI-based machine listening technology, enabling new ways to search, re-use, explore, understand, and recommend music.

Key Responsibilities
  • Design and develop massive data processing pipelines to run ML models on audio at petabyte-scale
  • Collaborate with cross-functional teams to integrate audio ML research into Spotify's products, serving hundreds of millions of users
  • Build best-in-class infrastructure and tooling to support and accelerate model training
  • Work closely with research scientists to debug, optimize, and convert ML models for deployment
  • Debug problems across the entire stack, from low-level debugging to high-level system design
  • Partner with customer teams to deploy research in products across Spotify, including backend, data, mobile, core, and other code bases
  • Scope project feasibility through quick prototyping to assess performance, quality, time, and cost
  • Contribute to maintaining crucial pieces of Spotify-owned open-source audio software infrastructure
Requirements
  • Professional experience working with machine learning systems
  • Strong grasp of Python, with ability to work in languages like Java, Scala, C++, and others as necessary
  • Excellent communication skills and ability to collaborate with ML researchers, product stakeholders, and executives across geographies
  • Strong systems fundamentals and ability to debug problems down to the operating system level
  • Good understanding of performance and ability to design and engineer systems that scale without breaking the bank
  • Experience debugging, profiling, optimizing, or deploying ML models
  • Experience working with cloud platforms like GCP, AWS, or Azure
  • Proven experience implementing and maintaining large-scale production software systems
  • Interest in learning more about audio processing and music information retrieval
  • Willingness to go on call to support systems and build systems for reliability
  • Experience with deep learning techniques for content-based processing is a plus
Location

This role will be located in our London or Stockholm office.



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