Machine Learning Engineer II, Personalization
Description For Machine Learning Engineer II, Personalization
Spotify's Personalization team is seeking a Machine Learning Engineer II to join their innovative group that powers some of Spotify's most popular features like Daily Mix and Discover Weekly. The role focuses on developing and implementing ML solutions that enhance user experience for hundreds of millions of active users. The Fritz team specifically works on next-content recommendation systems using real-time prediction models and NRT interactions. The position offers an opportunity to work with cutting-edge ML technologies, including Ray training infrastructure, and collaborate with cross-functional teams. The role combines technical expertise in ML, distributed systems, and software engineering with the chance to impact how millions of users discover and enjoy music and podcasts. The position offers competitive compensation, comprehensive benefits, and the flexibility to work remotely within North America. This is an excellent opportunity for ML practitioners who want to solve complex problems at scale while contributing to one of the world's leading music streaming platforms.
Responsibilities For Machine Learning Engineer II, Personalization
- Design, build, evaluate, and ship ML solutions for safety in Spotify's personalization products
- Collaborate with cross functional teams to build new product features
- Prototype new approaches and productionize solutions at scale
- Promote and role-model best practices of ML systems development
- Be part of an active group of machine learning practitioners
Requirements For Machine Learning Engineer II, Personalization
- Experience as ML practitioner working 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 Java, Scala, Python
- Experience with Pytorch, TensorFlow, Scikit-learn
- Experience with designing end-to-end tech specs and modular architectures
- Experience with large scale, distributed data processing frameworks like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS
Benefits For Machine Learning Engineer II, Personalization
- 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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