Machine Learning Engineering Manager, Personalization
SpotifyAudio Streaming company
New York, United StatesManager
TPG
Goldman Sachs
Northzone
Accel
DST Global
Founders Fund
Data & AI
About the role
TL;DR
Manage a team of ML engineers to build and improve personalization features at Spotify.
- •The Personalization team at Spotify is responsible for features like Blend and Discover Weekly, making music and podcast recommendations for millions of users.
- •This role focuses on training and improving ML models for ranking and personalization of listening experiences like Radio and Daily Mix.
- •Key Responsibilities Lead, coach, and develop a team of machine learning, backend, and data engineers.
- •Set technical direction and guide the design, development, and deployment of production ML systems.
- •Support engineers through mentorship, career development, and performance management.
- •Champion thoughtful adoption of emerging ML technologies, including large language models.
- •Requirements Experience leading and developing high-performing engineering teams.
- •Deep expertise building and operating production ML systems at scale.
- •Understanding of the end-to-end ML lifecycle.
- •Experience with modern ML techniques, including LLMs and generative AI.
- •Effective communication across engineering, product, and data science partners.
Required skills
LLMsPythonEngineering ManagementTensorFlowPyTorchscikit-learnNLP
Domain expertise
entertainment-music
Tech stack
PythonJavaScriptTensorFlowPyTorchscikit-learnLLMsAWSGoogle CloudAzureDockerKubernetesGit