Machine Learning Engineer
October 17
Description
• 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. • 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?
Requirements
• You have a strong background in machine learning, theory, and practice • You are comfortable explaining the intuition and assumptions behind ML concepts • You have hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar languages • Experience with TensorFlow is also a plus • You are experienced with building data pipelines, and you are self-sufficient in getting the data you need to build and evaluate your models • You preferably have experience with cloud platforms like GCP or AWS • You care about agile software processes, data development, reliability, and focused experimentation • You have a desire to drive business impact
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