Machine Learning Engineer, GenRecs, Personalization

The Personalization team seeks to understand the world of music, podcasts, and audiobooks to make great recommendations to every individual. The Machine Learning Engineer will design, build, evaluate, and ship ML solutions in Spotify's personalization products.

Requirements

• Design, build, evaluate, and ship ML solutions in Spotify’s personalization products
• Collaborate with cross functional teams to build new product features
• Prototype new approaches and productionize solutions at scale
• Promote best practices of ML systems development, testing, evaluation, etc.
• An experienced ML practitioner motivated to work 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
• Experience with designing end-to-end tech specs and modular architectures for ML frameworks
• 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