Machine Learning Engineer - Music - Remote

Overview

The Music Promotion team is building products that allow creators to promote their work to reach new audiences and create lasting connections with their fans. We’re looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their promotion strategies, whether it’s a DIY artist or an industry-facing partner.

In Short

• Contribute to the design, build, evaluation, shipping, and refinement of systems that improve Spotify’s promotional performance with hands-on ML development
• Collaborate with a multidisciplinary team to optimize machine learning models for production use cases
• Influence the technical design, architecture, and infrastructure decisions to support new machine learning architectures
• Work with Data and ML Engineers to transition machine learning models into production
• Implement and monitor model success metrics and contribute to an on-call schedule

Requirements

• Experience implementing ML systems at scale in Java, Scala, Python, or similar languages
• Understanding of bringing machine learning models from research to production
• Collaborative approach with research scientists and engineers
• Experience in optimizing machine learning models for production
• Preferably experience with data pipeline tools and cloud platforms like GCP
• Exposure to causal ML models
• Familiarity with crafting model success metric dashboards

Benefits

• Flexibility to work where you work best within the North America region
• Collaboration within the EST time zone