Machine Learning Engineer (W/M/D)

We built them by understanding the world of music and podcasts better than anyone else. We are looking for a Machine Learning Engineer II to join our product area of hardworking engineers that are passionate about connecting new and emerging creators with users via recommendation algorithms. As an integral part of the squad, you will collaborate with engineers, research scientists and data scientists in prototyping and productizing state-of-the-art ML. Contribute to designing, building, evaluating, shipping, and refining Spotify’s personalization products by hands-on ML development Collaborate with a cross 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 ways Promote and role-model best practices of ML systems development, testing, evaluation, etc., Be part of an active group of machine learning practitioners in Europe (and across Spotify) collaborating with one another Together with a wide range of collaborators, help develop a creator-first vision and strategy that keeps Spotify at the forefront of innovation in the field. You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with experience and expertise in bandit algorithms, LLMs, general neural networks, and/or other methods relevant to recommendation systems You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like GCP or AWS You care about agile software processes, data-driven development, reliability, and disciplined experimentation