Senior Machine Learning Engineer - Finance (Remote Eligible - Americas)

Our team helps Spotify make strategic decisions using machine learning and using our petabytes of data. From understanding and forecasting how podcasts are evolving on our platform, to modeling user behavior and how people like to consume music and podcasts. We work with teams across the company to model and quantify what happens on our platform and build ML products that help them make better and data driven decisions. Our team is seeking a motivated and self driven ML practitioner to help us build, productionize and manage our internal ML product and set best practices for continued evolution and support of them. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 345 million users.
New York, United States
  • Spotify