Senior Audio Infrastructure Engineer - Machine Learning Platform

Every day, 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 excellent recommendations to every individual and keep the world listening. The product includes highly personalized surfaces as well as original playlists such as “Discover Weekly” and “Daily Mix”, all powered by some of the most sophisticated machine learning algorithms in the audio space.
The Machine Learning platform team owns and maintains the infrastructure and the strategy for the platform, on top of which machine learning is done at Spotify. As a member of our ML platform team, you will be working with a multi-functional team of engineers, product managers, researchers, designers, and data scientists to craft the ML practitioner experience across Spotify. You will help build products that enable teams to apply Machine Learning to initiatives that connect creators on Spotify’s platform (music, podcasts, and more) to the rapidly growing global Spotify user base.

What you'll do:

• Contribute to Klio (our open-source Python audio processing framework) and an ecosystem of tools that enables audio practitioners (e.g., researchers, ML engineers, Data engineers) to transform and extract insights from audio & binary files using machine learning and signal processing.
• Collaborate with audio practitioners to deliver general-purpose tools, resources, and industry best practices that empower them to create innovative solutions to problems unique to their use case.
• Deliver scalable, maintainable, fault-tolerant software.
• Work in an environment that supports your individual growth by providing exciting work, the freedom to acquire new skills via hack weeks, reading groups, and various internal training courses.

Who you are:

• You have extensive experience writing Python. Familiarity with Java or Scala is a plus.
• You have industry experience building audio and/or machine learning systems and are familiar with many popular Python libraries and frameworks in the domain.
• Knowledgeable about data management concepts and have worked with one or more data processing frameworks like Apache Beam, Spark, Flink, and in a cloud environment, like GCP, AWS.
• You are passionate about code quality, continuous delivery, testing, reliability, and observability.
• You have written libraries or tools used by other engineers or researchers.
• Have a preference for participating in end-to-end product development lifecycle: user research, product discovery, coding, testing, deployment, monitoring, and user feedback.
• Value team success over personal success.

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 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 345 million users.
This position is not eligible to be performed in Colorado.