The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Daily Mix to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.
We are looking for a Senior Machine Learning Engineer with a future focus on reinforcement learning to join our team that is working on applying and experimenting with state of the art machine learning techniques for guiding every user to a satisfying listening experience every time. By leveraging both human and machine learning intelligence we empower content professionals to efficiently combine their expertise in technology and culture to help connect listeners to content and artists they’ll love.
You will be working with a cross-functional team in Stockholm who’s driving the application of machine learning to make Spotify’s beloved playlists and strategic content promotion even better. As a senior engineer in the team, you will not only coordinate and influence the direction within the team but also work with multiple stakeholders to power different personalization projects across Spotify. This is a unique opportunity to revolutionize audio recommendation with reinforcement learning based approaches by collaborating with multiple teams to reshape Spotify’s existing products and develop new products.
Join us and you’ll keep millions of users listening to great recommendations every day. We’re a team of technologists, product insight specialists, designers, and product managers in Stockholm, Boston, New York, and London.
What You'll Do:
- Contribute to designing, building, evaluating, shipping, and refining Spotify’s personalization products by hands-on ML development.
Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways.
Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users
Drive optimization, testing, and tooling to improve quality.
Be part of an active group of machine learning practitioners across Spotify.
Who You Are:
- You have an MSc or PhD in Computer Science, Machine Learning, Engineering, Mathematics, Physics, or equivalent.
You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with experience and expertise in machine learning algorithms for recommender systems and/or computational advertising.
Familiarity or a hands-on experience with reinforcement learning approaches is a big plus.
You have hands-on experience implementing production machine learning systems at scale in Python, Scala, Java or similar languages. Previous industry experience with frameworks such as Tensorflow and the Tensorflow ecosystem (TFX) is also a plus.
You have experience with data pipeline tools like Apache Beam, Spark, etc., and cloud platforms like GCP or AWS.
You care and are able to execute on agile software processes, data-driven development, reliability, and disciplined experimentation.
You enjoy to survey research publications in the machine learning and software engineering communities.
You love your customers even more than your code.
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 EMEA region in which we have a work location and is within working hours.
Working hours? We operate within the Central European and GMT time zones for collaboration and ask that all be located 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.
Perks of being in the band
Extensive learning opportunities, through our dedicated team, GreenHouse.
Flexible share incentives letting you choose how you share in our success.
Global parental leave, six months off - fully paid - for all new parents.
All The Feels, our employee assistance program and self-care hub.
Flexible public holidays, swap days off according to your values and beliefs.
Spotify On Tour, join your colleagues on trips to industry festivals and events.
Learn about life at Spotify
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.