Senior Machine Learning Engineer – Search

The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music and podcasts better than anyone else so that we can make great recommendations to every individual person and keep the world listening. Everyday, hundreds of millions of people all over the world use the products we build which include destinations like “Home” and “Search” as well as original playlists such as “Discover Weekly” and “Daily Mix.” We’re a team of technologists, product insight experts, designers, and product managers in Boston, New York, Stockholm, and London.”

What you’ll do

  • Work on business critical problems by applying machine learning to massive data sets

  • Prototype new algorithms, evaluate with small scale experiments, and later productionize solutions at scale to our >200 million active users

  • Work with agile teams of software/data engineers, machine learning engineers, designers, product managers and others to build new product features

  • Help drive optimization, testing and tooling to improve data quality

  • Iterate on quality of machine learning powered features through continuous A/B testing

  • Work from our office in London

Who you are

  • Ph.D. or M.Sc. in Machine Learning, or related field (e.g. applied mathematics/statistics) and work experience from industry in this field

  • You have a strong mathematical background in statistics and machine learning

  • You have experience of feature engineering and prototyping machine learning applications, that have been deployed to production

  • You are well-versed in programming and scripting (not only R and Matlab)

  • You preferably have machine learning publications or open source contributions to share with us

  • Bonus: experience with data processing and storage frameworks like Hadoop, Scalding, Spark, Storm, Google Dataflow, etc.

  • Bonus: experience implementing machine learning systems at scale in Java, Scala, TensorFlow or similar

We are proud to foster a workplace free from discrimination. We truly 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.

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