Spotify's Personalization (PZN) team is at the forefront of making music, podcast, and audiobook discovery more enjoyable for hundreds of millions of listeners worldwide. As a Senior Machine Learning Engineer on the GenRecs team, you'll be working on cutting-edge recommendation systems that power features like Home, Search, Made For You, Discover Weekly, and Daily Mix. This role combines technical leadership with hands-on ML engineering, requiring expertise in large-scale machine learning systems, model optimization, and distributed computing.
The position offers the flexibility to work remotely within North America, with collaboration centered in the Eastern time zone. You'll be joining a company that has revolutionized how the world listens to audio content since 2008, with a mission to enable both creators and listeners to thrive in the digital audio space.
The role demands a blend of technical expertise in ML systems, leadership capabilities, and practical experience with modern ML frameworks and infrastructure. You'll be working with state-of-the-art technologies including TensorFlow/PyTorch, Kubernetes, and specialized hardware for ML model training and inference. The position offers competitive compensation, comprehensive benefits, and the opportunity to impact how millions of people discover and enjoy audio content.
Spotify emphasizes inclusivity and diversity, welcoming talent from all backgrounds. The company offers extensive benefits, including flexible work arrangements, generous parental leave, and comprehensive healthcare, making it an attractive destination for top ML engineering talent looking to make a significant impact in the audio streaming industry.