Spotify
Machine Learning Engineering Manager
New York, NY (Remote within EST time zone)remoteUSD 176,166–251,666
Skills
Leading delivery of consumer-facing ML products at scaleExperienced with generative AI and agent technologiesmachine learningstatistics and optimizationsequential modelstransformer architecture modelsfine-tuning processes for sequential modelsJava, Scala, Python or similar languagesTensorFlow, PyTorch, Scikit-learnApache Beam, Apache Spark, ScioGCP or AWSagile software processesrecommender systemsLarge Language ModelsFine-tuning and RAG techniquesPython, Scala, Java, SQLCloud platforms (GCP or AWS)Data pipelines with Dataflow, Apache Beam, SparkPyTorch, TensorFlow, Ray, TFX
About the role
Machine Learning Engineering Manager, Personalization New York, NY Engineering – Personalization / Permanent / Remote The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Discover Weekly to AI DJ, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music, podcasts, and listeners better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. The Next Generation Sessions (NextGen) product area within Personalization is evolving listening beyond playlists, inventing new personalized listening (and watching!) sessions such as AI DJ, AI Playlist, Blend, Podcast Discovery Feed, and Music Discovery Feed. NextGen is a team of about 100 engineers, scientists, product managers, and music and voice domain experts working remotely and in offices in New York, Boston, London, and Stockholm. This ML Engineering Manager role wi
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