Staff Machine Learning Engineer - Personalized Listening Experiences

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

Job Description

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.

In this role you will help improve our flagship products while laying the groundwork for the next generation of how people listen to music and podcasts. You will identify quick wins that utilize machine learning, and partner with platform teams to help us move even faster.

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 Boston, New York, and Europe.

What You Will Do

• Improve the quality of Spotify’s personalized listening recommendations in playlists for our huge number of listeners, around the globe
• Rapidly prototype new ideas and productionize solutions at scale for our hundreds of millions of active users
• Work closely with Product, User Research, Data Scientists, and other engineers to develop machine learning approaches that advance our mission to connect fans and artists
• Be an active contributor and technical leader to machine learning practitioners within Spotify
• As part of the leadership team of a 50-person org, develop and help execute our long-term strategy and roadmap
• Be accountable for algorithmic fairness and responsibility of playlist content recommendations systems
• Identify opportunities for platformization and communicate requirements to platform teams

Who You Are

• You have a passion for delivering amazing user experiences
• You have built machine-learning based recommendation products that deliver measurable impact to 1M+ people
• You understand how requirements evolve over time and have made impactful improvements to ML products already in production
• You have hands-on experience implementing scalable systems in Java, Scala, Python, or similar languages Experience with TensorFlow is a plus
• You are comfortable exploring data to deeply understand the problems and products you are working on
• You care about agile software processes, data-driven development, reliability, and disciplined experimentation
• You keep up with state of the art research by reading papers, attending conferences, and participating in research communities

Nice to have

• You have experience with data pipeline tools like Apache Beam, Scio, etc., ML tools like Kubeflow, and cloud platforms like GCP or AWS.
• Multimedia (audio, image, and/or video) recommendation experience
• Strong passion for music

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.