Senior Machine Learning Engineer - Podcast

Tech lead ML initiatives for podcast and video features while helping define and maintain a clear roadmap for the Spotify for Creators and Megaphone apps. Advise leadership on ML initiatives, guiding prioritization and shaping decisions on the development and rollout of ML features. Serve as the liaison ML efforts within the Podcast mission and ML engineers/PMs across Spotify, ensuring deep understanding of existing systems and facilitating their seamless integration into the Spotify for Creators product.

Mentor engineers in ML practices to level up Podcast Mission’s capabilities in the space. Work closely with backend, data, and client engineers as well as PMs and designers to ship features that directly impact podcast engagement metrics. Prototype novel agentic workflows (e.g., multi-component pipelines or tool-using agents) and contribute to experimentation around Creator-Consumer interactivity. Own and evolve ML model lifecycle: data annotation, data pipeline construction, feature engineering, model training, deployment, and monitoring.

Design, develop, fine-tune, and deploy machine learning systems that power podcast growth. Optimize models for scale and reliability using modern ML infra tools like Ray, Apache Beam, and Google Cloud Platform (GCP). Lead with an experimentation attitude. Implement A/B tests and contribute to continuous model evaluation and improvement loops to productionize solutions at scale for our millions of active podcast users. Participate in Spotify’s ML community: share findings, explore new tools and paradigms, and contribute to scaling ML standards across the company.