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. Through an ensemble of machine learning models, we aim to provide the best suitable offer or non-credit card trial to demonstrate the value of Spotify Premium, with the ultimate goal of having direct impact on key business metrics like SUBs and MAU. Our vision is to build the machine learning models and infrastructure that offers a fully personalized and ML-optimized Offer as well as trial targeting with the intention of showing the right value to the right user at the right time. Our key problem areas are: When is the best time to give Offers to users for optimal profitability? What is the right offer to give a user to maximize the probability of them converting? What is the right amount of friction to introduce using feature capping? For new users signing up on the platform which non-credit card trial to give? Our squad is a combination of Machine Learning Engineers, Backend Engineers and Data Scientists. If this sounds like something you would be interested in working on, please apply.