Senior Machine Learning Engineer – Lifetime Value

Spotify

Job Overview

What You’ll Do

  • Prototype new ML approaches for content value understanding and productionize solutions at scale for our hundreds of millions of active users
  • Collaborate with a multi-functional agile team spanning user research, data science, product management, and engineering to build new product features that inform and enrich Spotify’s content catalogue
  • Promote and role-model best practices of ML model development, testing, evaluation, etc., both inside the team as well as throughout the organization
  • Be part of an active group of machine learning practitioners in New York (and across Spotify) collaborating with one another
  • Who You Are

  • You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with expertise in personalized machine learning algorithms. Experience with causal inference methodologies is a strong plus
  • You have hands-on experience implementing production machine learning systems at scale in Scala, Python, Java, or similar languages. Experience with tools like TensorFlow, Scikit-learn, CausalML, EconML etc. is a strong plus
  • You have experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it, Scio and cloud platforms like GCP or AWS
  • You care about agile software processes, modular code design following best practices, and disciplined experimentation with focus on repeatability
  • You love your customers even more than your code
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