Senior Backend Engineer - Machine Learning Platform

New York City

Applications have closed

Spotify

We grow and develop and make wonderful things happen together every day. It doesn't matter who you are, where you come from, what you look like, or what music you love. Join the band!

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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, user researchers, designers, and data scientists to craft the ML practitioner experience across Spotify. You will help build products that enable 60+ teams and 600+ Engineers to apply Machine Learning to initiatives that connect creators on Spotify’s platform (music, podcasts, and more) to the rapidly growing global 400M+ users base.

What you'll do:

  • at enables ML teams to collect, transform, and aggregate events across components used throughout the ML Product lifecycle.
  • Ensure metadata and metrics from the platform are accessible via API for use in different contexts e.g. Model Evaluation, A/B Testing, Monitoring & Troubleshooting.
  • Deliver a cohesive user experience by building emotional intelligence for our users and understanding the tools they interact with across the Machine Learning product development lifecycle.
  • Deliver scalable, testable, maintainable, and high-quality code.
  • Share knowledge, evangelize standard processes, and collaborate with teams working on ground breaking ML problems.
  • 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:

  • Have at least 4+ years of professional experience in software development.
  • You have extensive experience writing Java.
  • You are knowledgeable about data modeling, storage, access techniques and have production experience with the following (or an equivalent): Postgres, Mysql, Bigquery.
  • You have experience building APIs and client libraries used by multiple engineering teams and have worked with protocols like gRPC, REST, and GraphQL.
  • Have some experience writing Python and are familiar with Machine Learning and MLOps concepts.
  • You are passionate about code quality, continuous delivery, and automated testing.
  • Have a preference for participating in end-to-end product development lifecycle: user research, product discovery, coding, testing, deployment, monitoring, and user feedback.
  • You 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.
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.

Tags: A/B testing APIs BigQuery Engineering GraphQL Machine Learning MLOps MySQL PostgreSQL Python Research Streaming Testing

Perks/benefits: Career development Equity Team events

Region: North America
Country: United States
Job stats:  12  2  0

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