Machine Learning Engineer, Personalization - Remote

Overview

The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix.

In Short

• Design, build, evaluate, and ship ML solutions in Spotify’s personalization products.
• Collaborate with cross functional teams spanning user research, design, data science, product management, and engineering.
• Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users.
• Promote and role-model best practices of ML systems development, testing, evaluation, etc.
• Be part of an active group of machine learning practitioners.

Requirements

• An experienced ML practitioner motivated to work on complex real-world problems.
• Strong background in machine learning, natural language processing, and generative AI.
• Hands-on expertise with implementing end-to-end production ML systems at scale in Python, Java or Scala.
• Experience with Pytorch and/or TensorFlow is a strong plus.
• Experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS.

Benefits

• Flexibility to work where you work best.
• Collaboration within the GMT/CET time zone.
• Excluding France due to on-call restrictions.