Machine Learning Engineer II, Personalization
Description For Machine Learning Engineer II, Personalization
Spotify's Personalization teams are at the forefront of creating beloved features like Daily Mix and Discover Weekly. The Fritz team specifically focuses on next-content recommendation using machine learning models that operate in real-time. As a Machine Learning Engineer II, you'll be part of a team that's migrating training infrastructure to Ray and continuously innovating to increase user engagement.
The role involves working with cutting-edge ML technologies to solve complex personalization challenges for hundreds of millions of active users. You'll be collaborating with cross-functional teams including user research, design, data science, and product management to create features that meaningfully connect artists and fans.
The position offers competitive compensation and comprehensive benefits, including healthcare, parental leave, and retirement plans. You'll work in a flexible environment within the Eastern Standard time zone, with the opportunity to be based anywhere in North America where Spotify has a work location.
This is an excellent opportunity for an experienced ML practitioner who wants to impact how millions of people discover and enjoy music and podcasts. You'll be working with state-of-the-art technologies and frameworks while contributing to a collaborative culture of ML excellence at Spotify.
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 in fast-paced and collaborative environment
- 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 for ML frameworks
- 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
Jobs Related To Spotify Machine Learning Engineer II, Personalization
