The Personalization team makes decisions about what toplay next easier and more enjoyable for every listener. From Blendto Discover Weekly, we’re behind some of Spotify’s most-lovedfeatures. We built them by understanding the world of music andpodcasts better than anyone else. Join us and you’ll keep millionsof users listening by making great recommendations to each andevery one of them. We are looking for a Machine Learning EngineerII to join our product area of hardworking engineers that arepassionate about connecting new and emerging creators with usersvia recommendation algorithms. As an integral part of the squad,you will collaborate with engineers, research scientists, and datascientists in prototyping and productizing state-of-the-art ML.What You'll Do - Contribute to designing, building, evaluating,shipping, and refining Spotify’s personalization products byhands-on ML development. - Collaborate with a cross-functionalagile team spanning user research, design, data science, productmanagement, and engineering to build new product features thatadvance our mission to connect artists and fans in personalized andrelevant ways. - Prototype new approaches and productionizesolutions at scale for our hundreds of millions of active users. -Promote and role-model best practices of ML systems development,testing, evaluation, etc., both inside the team as well asthroughout the organization. - Be part of an active group ofmachine learning practitioners in Europe (and across Spotify)collaborating with one another. - Together with a wide range ofcollaborators, help develop a creator-first vision and strategythat keeps Spotify at the forefront of innovation in the field. WhoYou Are - You have a strong background in machine learning, enjoyapplying theory to develop real-world applications, with experienceand expertise in bandit algorithms, LLMs, general neural networks,and/or other methods relevant to recommendation systems. - You havehands-on experience implementing production machine learningsystems at scale in Java, Scala, Python, or similar languages.Experience with TensorFlow, PyTorch, Scikit-learn, etc. is a strongplus. - You have some experience with large scale, distributed dataprocessing frameworks/tools like Apache Beam, Apache Spark, or evenour open source API for it - Scio, and cloud platforms like GCP orAWS. - You care about agile software processes, data-drivendevelopment, reliability, and disciplined experimentation. - Youlove your customers even more than your code. Where You'll Be - Weoffer you the flexibility to work where you work best! For thisrole, you can be within the European region as long as we have awork location. - This team operates within the GMT/CET time zonefor collaboration. #J-18808-Ljbffr
