Sr. Machine Learning Engineer – Content Knowledge

The Creator Marketplace team at Spotify is looking for a Machine Learning Engineer to join our team out our content knowledge graph. This will form the basis of our understanding of music and will power a wide range of features & experiences on our platform. We do this through a deep understanding of the Spotify catalog; building up knowledge of the relationships between recording artists, songwriters, and the music on which they collaborate. This data helps power the music industry by supporting a vital group of creators and their teams.

What you’ll do

  • Take on complex data-related problems using some of the most diverse datasets available and work with expert human curators to develop datasets useful for training your models.
  • Perform data analysis to establish baselines and inform product decisions.
  • Prototype new approaches and productionize solutions at scale.
  • Build systems that take in multiple signals and suggest matches between known musical compositions and recordings in the Spotify catalog.
  • Collaborate with a cross functional agile team spanning design, data science, product management, and engineering to build new product features that advance our mission of giving a million creative artists the opportunity to live off their art.
  • Help drive optimization, testing, and tooling to improve quality

Who you are

  • You have a strong background in machine learning, preferably with experience and expertise in text-based ML problems, record linkage, and/or inference on knowledge graphs. Experience with NLP methods is a plus.
  • You have experience building data pipelines and are self-sufficient in getting the data you need to build and evaluate your models, using tools like Apache Beam / Scio.
  • You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages.
  • Experience with pyTorch, TensorFlow, or Google Cloud Platform is a plus.
  • You care about agile software processes, data-driven development, reliability, and disciplined experimentation
  • You have experience and passion for mentoring and encouraging collaborative teams.
  • You love your customers even more than your code.

We are proud to foster a workplace free from discrimination. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users and our creators. This is something we value deeply and we encourage everyone to come be a part of changing the way the world listens to music.

Psst! If this job is your perfect match and you want some inside tips before you apply, read this blog post!

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