Staff Machine Learning Engineer - Music

Spotify, the world's leading audio streaming platform, is seeking a Staff Machine Learning Engineer to join their Music Mission team. This role is part of the DISCO team, which focuses on building promotional tools that help over 1,000,000 active artists reach more than 380,000,000 listeners. The position offers a competitive base salary range of $215,000 - $307,000 plus equity and comprehensive benefits.

The role involves leading the machine learning strategy for Discovery Mode, a crucial marketing tool that has become essential for the music industry since its launch in 2020. You'll work with cross-functional teams to design, build, and deploy ML solutions that help artists grow their audiences while contributing to Spotify's core business growth.

As a Staff ML Engineer, you'll be responsible for hands-on development of machine learning systems at scale, collaborating with various teams including user research, design, data science, and product management. The position requires expertise in ML algorithms and experience with languages like Python, Java, or Scala. You'll be working in a hybrid setting based in New York, with flexibility to work from anywhere within the North America region.

Spotify offers an inclusive workplace culture and comprehensive benefits including health insurance, six-month parental leave, 401(k), monthly meal allowance, and generous paid time off. The company is committed to diversity and equal opportunity, welcoming candidates from all backgrounds to contribute to their mission of unlocking human creativity through music.

This is an excellent opportunity for an experienced ML engineer who wants to make a significant impact on how artists connect with fans and grow their careers through technology. You'll be working on high-profile projects that directly affect millions of users while helping shape the future of music promotion and discovery on the world's largest music streaming platform.