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.
To enable this and all other teams in the ML space, including ads, content, and more, 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 the creators on Spotify’s platform (music, podcasts, and more) to the rapidly growing global Spotify user base.What you'll do:
- Contribute to ML Home - a web application built on Backstage that helps Machine Learning practitioners and their teams collaborate on the end-to-end delivery and management of ML products. On the backend of ML Home is a central metadata and metrics infrastructure that enables collecting and retrieving data from various ML platform components.
- Deliver a cohesive user experience by understanding our users as well as components of Spotify’s ML platform.
- Deliver scalable, testable, maintainable, and high-quality code.
- Share knowledge, promote standard methodologies, and collaborate with some of the worlds best engineers.
- Work in an environment that supports your individual growth by providing you with exciting work, the freedom to acquire new skills via hack weeks, reading groups, and a variety of internal training courses.
Who you are:
- You have experience building APIs and client libraries used by multiple engineering teams and have worked with protocols like gRPC, REST GraphQL.
- You are knowledgeable about data modeling, storage, access techniques and have production experience with the following (or an equivalent): Postgres, Mysql, Bigquery.
- Have extensive experience writing modern Java. Python experience is a plus.
- You have some experience with modern web development, particularly JavaScript, TypeScript and React.
- Demonstrate an interest in Machine Learning.
- You are passionate about code quality, continuous delivery, automated testing.
- You have a preference for participating in end-to-end product development lifecycle: user research, product discovery, coding, testing, deployment, monitoring, and user feedback.
- You demonstrate a growth mindset you welcome challenges, seek feedback from others, show perseverance on long-term goals, and generally go above and beyond in your work.
- 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 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.
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.