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 for machine learning architectures.
• Support transitioning machine learning models from research and development into production.
• Implement and monitor model success metrics and diagnose issues.

Requirements

• 3+ years' experience implementing ML systems at scale in Java, Scala, Python or similar languages.
• Experience with ML frameworks such as TensorFlow, PyTorch, etc.
• Understanding of how to bring machine learning models from research to production.
• Experience in optimizing machine learning models for production use cases.
• Experience with data pipeline tools like Apache Beam, Scio, and cloud platforms like GCP.
• Exposure to causal ML models, including counterfactuals.
• Familiarity with crafting model success metric dashboards.

Benefits

• Flexibility to work where you work best within the North Americas region.
• Collaboration within the Eastern Standard time zone.