Spotify is looking for exceptional machine learning engineers to help us build the world’s best music recommendations. The ideal candidate has experience in large scale machine learning, collaborative filtering, recommender systems, and/or other related fields.
We employ large scale machine learning techniques to mine terabytes of data to come up with great music recommendations, personalize the Spotify experience, classify music, clean our data, and other things. As a ML developer at Spotify you will work on new recommendation algorithms, try out new ways to apply our data, build new product features, and run continuous A/B tests. You will come up with new and interesting hypotheses, test them, and scale them up to huge data sets with hundreds of billions of data points. You will help us build new backend services to serve thousands of requests per second. You will be working with dedicated and passionate people. Availability, scalability and recommendation quality are our prime concerns. The features you are building will help millions of users find new music they will love.
The role is based in New York City and a relocation package will be offered to candidates outside of a commutable distance.
Apply machine learning techniques on vast data sets
Run small scale experiments with new algorithms and scale it up to MapReduce scale
Hack on Spotify backend software components
Assume ownership over certain components and continuously work to improve them
Run A/B tests to determine what makes our users the happiest
Be proactive and constantly pay attention to the scalability, performance and availability of our systems
Take an active interest in our features and our user happiness
Occasionally help out with recruitment
PhD or M.Sc., in Machine Learning or related fields strongly preferred
Minimum 5 years work experience
You have publications and/or open source projects to share with us
Strong algorithm background
Fluent in Python/Java and Linux
Experience with analyzing large data sets using Hadoop is a great plus
Experience with other distributed systems and scalability problems is also a great plus
With Spotify, it’s easy to find the right music for every moment – on your phone, your computer, your tablet and more.
There are millions of tracks on Spotify. So whether you’re working out, partying or relaxing, the right music is always at your fingertips. Choose what you want to listen to, or let Spotify surprise you.
You can also browse through the music collections of friends, artists and celebrities, or create a radio station and just sit back.
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