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Engineering Manager – Machine Learning 1019 views

The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. They seek to understand the world of music and podcasts better than anyone else so that they can make great recommendations to every individual person and keep the world listening. Everyday, hundreds of millions of people all over the world use the products they build which include destinations like “Home” and “Search” as well as original playlists such as “Discover Weekly” and “Daily Mix.” They’re a team of technologists, product insight experts, designers, and product managers in Boston, New York, Stockholm, and London.

Spotify has unique data, with rich information on the behavior of its 75+ million users across time. Unlocking this data, in combination with context signals and stated user intent (“play music”), to power voice-driven music and audio experiences is a huge (and fun!) challenge. You will have the opportunity to have a large impact on how this data is used to power voice interactions. The results of this effort will be used to improve the experience for users, and since you’re working on their core voice stack, to create products for artists, advertising partners, and more.

What you’ll do

    • You will help build a shared team of voice engineers, and lead through hiring, coaching, mentoring, and hands-on career development
    • You will provide guidance and collaborate with engineers and product managers on natural language processing, machine learning, and engineering
    • In partnership with a product manager and team of engineers, build a stack which supports voice-driven experiences and delights users across Spotify
    • You will support the engineering team in formulating the technical vision and strategy for our voice technology stack
    • Grow a highly effective engineering team

Who you are

    • You thrive when developing great people and phenomenal products
    • You have experience in cultivating a strong engineering culture in an agile environment
    • You have previous experience developing production-scale ML systems
    • You are either an experienced manager or a senior individual contributor with strong people skills and leadership experience
    • Previous industry experience with the application of natural language technology
    • You care about agile software processes, data-driven development, reliability, and responsible experimentation
    • You’re familiar with the industry trends and keep up with the latest product offerings, and can understand trade-offs of existing solutions

They are proud to foster a workplace free from discrimination. They strongly believe that diversity of experience, perspectives, and background will lead to a better environment for their employees and a better product for their users and their creators. This is something they value deeply and they encourage everyone to come be a part of changing the way the world listens to music

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