Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators. We are seeking a Machine Learning Engineer II with expertise in machine learning model development, AI engineering, online experimentation techniques, and large-scale engineering systems. This role will lead strategic initiatives and projects within CareML. The CareML squad focuses on enabling review for podcast content and ads with respect to brand safety and suitability. By leveraging data and experimentation, we aim to categorize topics existing on both content and ads in various taxonomies that are used to drive large-scale ad serving systems for all of Spotify. We operate on the cutting edge of both machine learning and AI engineering, employing both in-house first party models developed through traditional machine learning and third-party foundation models leveraged from different providers. We are looking for someone who is motivated by user and business problems as much as they are by technical problems, and who enjoys ambiguity, brainstorming, experimentation, and iteration. You will work in close collaboration with key stakeholders across engineering, product, business, and leadership teams to build the most impactful solutions for our Spotify listeners and business.