Senior Machine Learning Engineer - Personalization

📋 Description

• Design, develop, evaluate, and iterate recommender models powering music surfaces.
• Improve reward signals and recommendation quality across Home and Now Playing.
• Adopt generative recommendation models with ML/AI infra teams.
• Promote ML systems best practices: development, testing, experimentation.
• Collaborate with DS, Product, and Design to define metrics and run A/B tests.
• Partner with Personalization teams to test new signals in recommender systems.

🎯 Requirements

• Strong ML background with statistics and optimization; expertise in sequential models, transformers, generative AI, and LLMs.
• Hands-on experience shipping production ML systems at scale, esp. in personalization.
• Experience implementing ML systems in Java/Scala/Python; familiarity with PyTorch, Ray, or Hugging Face.
• Experience with large-scale distributed data processing (Beam, Spark, Scio); cloud platforms like GCP or AWS.
• Experience collaborating across teams on complex ML projects and stakeholders.
• Care about agile processes, data-driven development, reliability, and disciplined experimentation.

🎁 Benefits

• Health insurance
• Six-month parental leave
• 401(k) retirement plan
• Monthly meal allowance
• 23 paid days off
• 13 paid flexible holidays