Machine Learning Infrastructure Specialist

1 month ago

London, Greater London, United Kingdom Spotify Full time

About the Role

We are seeking a highly skilled Machine Learning Infrastructure Engineer to join our team at Spotify. As a key member of our infrastructure team, you will play a critical role in building and maintaining the infrastructure that supports our machine learning models.

Key Responsibilities

  • Design and implement scalable data processing pipelines to support machine learning model training and deployment
  • Collaborate with cross-functional teams, including research scientists, engineers, and product managers, to integrate machine learning research into our products
  • Develop and maintain best-in-class infrastructure and tooling to support model training and deployment
  • Work closely with research scientists to debug, optimize, and convert machine learning models for deployment
  • Debug complex problems across the entire stack, from low-level debugging to high-level system design
  • Collaborate with customer teams to deploy machine learning research in products across Spotify
  • Scope the feasibility of projects through quick prototyping to assess performance, quality, time, and cost
  • Contribute to the maintenance of critical pieces of Spotify-owned open-source audio software infrastructure

About You

  • You have professional experience working with machine learning systems and a strong grasp of Python
  • You have experience working with cloud platforms like GCP, AWS, or Azure
  • You have proven experience implementing and maintaining large-scale production software systems
  • You have strong systems fundamentals and can debug problems down to the operating system level
  • You have a good understanding of performance and can design and engineer systems that scale without breaking the bank
  • You have experience debugging, profiling, optimizing, or deploying machine learning models
  • You are interested in learning more about audio processing and music information retrieval and are excited about building products that use such technologies
  • You are willing to go on call to support the systems we build and are willing to build systems for reliability to avoid on-call fatigue
  • Experience with deep learning techniques for content-based processing (audio, image, video data) is a plus

Where You'll Be

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

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