Senior Machine Learning Engineer - Content Platform

New York, NY

Full Time Senior level / Expert
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Posted 1 month ago

Spotify is looking for a Senior Backend/Machine Learning Engineer to join the Content Platform organization. Content Platform is a central enabler for Spotify. Together, our teams ensure that Spotify has a complete, available, and enriched catalog of music, podcasts, videos, and more. The team you will be joining is the largest team in Content Platform and is a key part of this puzzle! Sitting at the intersection of our consumer and creator offerings, we use a combination of cutting-edge machine learning, crowd-sourced wisdom, and deep industry expertise to discover and organize structured information about the world of audio. In doing so, we help Spotify make well-informed decisions and build impactful products!
Our team is working on applying and experimenting with state-of-the-art machine learning techniques to improve the quality of Spotify’s catalog content. 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 drive and deliver ML-centric products.

What you'll do

  • Contribute to designing, building, evaluating, shipping, and improving Spotify’s products by the means of hands-on ML development.
  • Collaborate with a cross-functional agile team spanning data science, product management, and engineering to build new product features that improve the quality of our catalog.
  • You will own the model design and keep the team aligned with ML-infrastructure while maintaining a focus on impact and delivery.
  • Prototype new ML approaches and production-ize solutions at scale.
  • Perform data analysis to establish baselines and inform product decisions.
  • Be part of an active group of machine learning practitioners across Spotify.

Who you are:

  • Have a strong background in Data Science and Machine Learning, with experience and expertise in designing, building, and testing models.
  • Have hands-on experience implementing production machine learning systems at scale in Java and Scala or similar languages.
  • Experienced with frameworks such as Tensorflow and the Tensorflow ecosystem (TFX) is also a plus.
  • Experienced with data pipeline tools like Apache Beam, Scio, etc. and cloud platforms like GCP or AWS.
  • Experienced with Java microservices that will contribute to backend development and help guide the team towards standard methodologies with our machine learning solutions.
  • Experience with building data pipelines and getting the data you need to build and evaluate your models, using tools like Apache Beam / Spark is a plus.
  • Have familiarity with reinforcement learning approaches is a huge plus.
  • Experienced in a production environment and has proven the ability to deliver results making tradeoffs between idealistic approaches and product impact.
  • You care about agile software processes, data-driven development, reliability, and responsible experimentation.


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 320 million users.
Job tags: AWS Engineering Java Machine Learning ML Scala Spark TensorFlow
Job region(s): North America
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