We in the Machine Learning product area in the Activation, Retention, Conversion studio are focused on building robust and scalable machine learning solutions that can personalize activation, retention and conversion funnels to improve important business metrics like SUBS and MAU. Through our messaging platform as well as other discovery & conversion surfaces, we communicate with users to connect them with valuable audio content and to help the business grow.

Please make sure you read the following details carefully before making any applications.

Our vision is to build the machine learning models and infrastructure that offers a fully personalized and ML-optimized experience for listeners throughout their user journey that powers every messaging and conversion campaign at Spotify.

This role sits in a squad called White Mouse that owns the optimization of plan upsell targeting across Spotify. Our key problem areas are: What plan should the user be upsold on discovery surfaces? How should we communicate the user on consideration surfaces? How should we balance upselling plans vs other paid products?

What You'll Do

Contribute to designing, building, evaluating, shipping, and refining Spotify's product by hands-on ML developmentCollaborate with a multi-functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant waysPrototype new approaches and productionize solutions at scale for our hundreds of millions of active usersHelp drive optimisation, testing, and tooling to improve qualityBe part of an active group of machine learning practitioners in your mission and across Spotify

Who You AreYou have a strong background in machine learning, theory, and practiceYou are comfortable explaining the intuition and assumptions behind ML conceptsYou have hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar languagesExperience with TensorFlow is also a plusYou are experienced with building data pipelines, and you are self-sufficient in getting the data you need to build and evaluate your modelsYou preferably have experience with cloud platforms like GCP or AWSYou care about agile software processes, data development, reliability, and focused experimentationYou have a desire to drive business impact

Where You'll BeThis role will be located in our London or Stockholm office

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