The Personalization team at Spotify is seeking a Staff Machine Learning Engineer to join their GenRecs team, focusing on revolutionizing how users discover and enjoy music and podcasts. This role sits at the cutting edge of Generative AI and recommendation systems, working on products that serve hundreds of millions of users daily. The position offers an opportunity to shape the future of personalized content delivery through advanced ML techniques and generative AI technologies.
The role combines deep technical expertise in machine learning with strategic product development, requiring collaboration across multiple disciplines including user research, design, and data science. You'll be working on innovative products like Discover Weekly, Daylist, and AI DJ, while helping to define the next generation of Spotify's recommendation capabilities.
As a Staff ML Engineer, you'll lead technical strategy development, implement large-scale ML systems, and drive best practices in model development. The position requires expertise in production-grade ML systems, preferably with experience in frameworks like PyTorch, Tensorflow, or JAX. You'll be working with transformer models and helping scale solutions for Spotify's massive user base.
The compensation package is competitive, ranging from $215,136 to $307,337 plus equity, with comprehensive benefits including health insurance, parental leave, and retirement plans. The role offers remote work flexibility within North America, with collaboration centered in the Eastern Standard time zone. This is an excellent opportunity for an experienced ML engineer passionate about combining cutting-edge technology with practical user impact at global scale.