Machine Learning Engineer

4 weeks ago


London, Greater London, United Kingdom Spotify Full time

We're seeking a talented Machine Learning Engineer to contribute to the development of our messaging optimization platform at Spotify. Our team is dedicated to building personalized and ML-optimized experiences for listeners throughout their user journey.

The ideal candidate will have a strong background in machine learning, theory, and practice, with hands-on experience implementing and maintaining production ML systems in Python, Scala, and using libraries like TensorFlow or PyTorch. Experience with cloud platforms like GCP or AWS is a plus.

As a Machine Learning Engineer at Spotify, you will collaborate with a multi-functional agile team to build new product features that advance our mission to connect artists and fans in personalized and relevant ways. You will contribute to designing, building, evaluating, shipping, and refining Spotify's product by hands-on ML development.

Key responsibilities include:

  • Designing and implementing machine learning models and infrastructure to offer a fully personalized and ML-optimized experience for listeners.
  • Collaborating with data scientists, product managers, and engineers to build new product features that advance our mission.
  • Helping drive optimization, testing, and tooling to improve quality.
  • Participating in an active group of machine learning practitioners to share knowledge and best practices.

What we're looking for:

  • A strong background in machine learning, theory, and practice.
  • Hands-on experience implementing and maintaining production ML systems.
  • Experience with cloud platforms like GCP or AWS.
  • Excellent communication and collaboration skills.


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