Engineering Manager - Machine Learning Platform

Everyday, hundreds of millions of people all over the world use Spotify to discover and listen to music and podcasts. We seek to understand the world of audio better than anyone else so that we can make great recommendations to every individual and keep the world listening. The product includes highly personalised surfaces as well as original playlists such as “Discover Weekly” and “Daily Mix”, all powered by some of the most advanced machine learning algorithms in the audio space. 
To enable this and all other teams in the ML space including ads, content and more, the ML platform team owns and maintains the infrastructure and the strategy for the platform on top of which machine learning is done at Spotify. We are now looking for an Engineering Manager to help us define and build the next generation of ML infrastructure at Spotify.  The role is to manage a growing team of engineers with the mission to enable every team at Spotify to apply ML to their business problems and iterate quickly on hypotheses.

What you'll do:

• You will hire, coach, mentor and develop the careers of a team of engineers
• You’ll be responsible for building upon Spotify’s suite of tools for developing and delivering production-scale end-to-end Machine Learning workflows
• You will provide guidance and collaborate with Spotify teams in a number of aspects of data science, machine learning and engineering
• You will partner with the team’s product managers and EMs to engage with various Spotify product teams to: understand their changing needs in the ML space, evangelize our ML infrastructure and products, jointly plan and prioritize high-level cross-team collaborations.
• You will support the engineering team in formulating the technical strategy for evaluation and adoption of open source and third party ML infrastructure solutions
• In the end, your primary goal is to grow a highly effective engineering team

Who you are

• You thrive when developing great people, not just great products
• You have experience in cultivating a strong engineering culture in an agile environment
• You have previous experience developing large scale production ML systems
• You are either an experienced manager or a senior individual contributor with strong people skills and leadership experience
• You have previous industry experience with large scale ML systems using frameworks such as Tensorflow, Scikit-learn and XGBoost
• 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
• Ideally you're actively engaged in the ML community (open source, meetups)

Where you'll be

• We are a distributed workforce enabling our band members to find a work mode that is best for them!
• Where in the world? For this role, it can be within the Americas region in which we have a work location and is within working hours.
• Working hours? We operate within the Eastern Standard time zone for collaboration and ask that all be located in that time zone.
• Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.

Spotify is an equal opportunity employer. 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 381 million users.
Global COVID and Vaccination DisclosureSpotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
This role is not eligible for hire in Colorado, USA.