Senior Machine Learning Engineer - Personalization

December 3

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Description

• The Safe-and-Sound team makes Spotify safe and enjoyable for every listener. • From podcast recommendations to AI Playlists, we’re a part of some of Spotify’s most-loved features. • We build Responsible AI solutions by understanding our music, podcasts and users better than anyone else. • Join us and you’ll keep millions of users listening by making recommendations safe for each and every one of them.

Requirements

• An experienced ML practitioner motivated to work on complex real-world problems in a fast-paced and collaborative environment - • Strong background in machine learning, natural language processing, and generative AI, with experience in applying theory to develop real-world applications • Hands-on expertise with implementing end-to-end production ML systems at scale in Java, Scala, Python, or similar languages. Experience with Pytorch, TensorFlow, Scikit-learn etc is a strong plus • Experience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams • Experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS

Benefits

• health insurance • six month paid parental leave • 401(k) retirement plan • monthly meal allowance • 23 paid days off • 13 paid flexible holidays • paid sick leave

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