Spotify's Personalization team is seeking a Senior Machine Learning Engineer to join their innovative group that powers beloved features like Blend and Discover Weekly. This role sits at the intersection of recommendations and long-term user satisfaction, working to make music and podcast discovery more enjoyable for millions of listeners. The position offers the opportunity to work with cutting-edge ML technologies, collaborating with research scientists and data scientists to prototype and productize state-of-the-art recommendation systems.
The role involves hands-on development of ML systems at scale, focusing on reward signals for recommendations and their integration across various systems. You'll be working with modern technologies including transformer architectures, sequential models, and distributed computing frameworks. The position requires expertise in languages like Python, Java, or Scala, and familiarity with major ML frameworks and cloud platforms.
Spotify offers a competitive base salary range of $176,166 - $251,666 plus equity, along with comprehensive benefits including health insurance, six months of paid parental leave, and generous PTO. The company embraces remote work, allowing flexibility within the North American region, though team collaboration occurs in the Eastern Standard time zone.
As part of Spotify's commitment to innovation and inclusivity, you'll join a diverse team that's revolutionizing how the world listens to music and podcasts. The company serves millions of users and supports countless artists, making it an exciting opportunity for those passionate about combining machine learning with music and content recommendation at scale.
The ideal candidate will bring both technical expertise and leadership qualities, helping to shape best practices in ML systems development while working on projects that directly impact user experience. This role offers the perfect blend of technical challenge, creative problem-solving, and the opportunity to influence how millions of people discover and enjoy content on Spotify.