Senior Machine Learning Engineer, Personalization

Join Spotify's Safe-and-Sound team as a Senior Machine Learning Engineer in their Personalization division. This role combines cutting-edge ML technology with real-world impact, focusing on making Spotify safe and enjoyable for millions of listeners worldwide. As part of the team, you'll work on crucial features like podcast recommendations and AI Playlists, building Responsible AI solutions that understand music, podcasts, and users at a deep level.

The position offers an exciting opportunity to work with cross-functional teams in a fast-paced environment, where you'll design and implement ML solutions that directly impact hundreds of millions of active users. You'll be at the forefront of developing safety features in Spotify's personalization products, using advanced technologies like natural language processing and generative AI.

The role requires expertise in implementing end-to-end production ML systems at scale, with experience in languages like Java, Scala, and Python. You'll work with modern ML frameworks such as PyTorch and TensorFlow, and handle large-scale data processing using tools like Apache Beam and Spark. The position is based in New York with flexible remote work options, offering a competitive salary range of $176,166-$251,666 plus equity.

This is an ideal opportunity for an experienced ML practitioner who wants to make a significant impact on how millions of people discover and enjoy music and podcasts. You'll be part of a collaborative community of ML practitioners across Spotify, working on complex real-world problems while helping to shape the future of personalized content delivery. The role comes with comprehensive benefits including health insurance, generous parental leave, and retirement plans, making it an attractive position for those seeking both technical challenges and work-life balance.