Spotify's Podcast Mission is looking to enhance creator tools and listener engagement through interactive podcast experiences, powered by machine learning. The Senior Machine Learning Engineer will shape how creators and consumers connect in more dynamic and intelligent ways by integrating foundational models and crafting feedback loops for real-time interactivity.
Requirements
- You’re fluent in Python; experience with PyTorch or TensorFlow is a strong plus.
- You’ve worked with large-scale data systems and owning end-to-end ML workflows (data ingestion to serving).
- You have hands-on experience with cloud platforms like GCP or AWS, and with ML infra tools such as Ray, Apache Beam, or Airflow.
- You have experience, or strong interest, in agent-based systems and LLM integrations.
- Bonus: Experience with content recommendation, interactive media formats, or real-time systems.
- 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.
Responsibilities
- 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).
- 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.
- 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.
- Work closely with backend, data, and client engineers as well as PMs and designers to ship features that directly impact podcast engagement metrics.
Other
- Lead the ML strategy for a 200+ person organization by defining and maintaining a clear roadmap for the Spotify for Creators and Megaphone apps, collaborating closely with engineers and PMs to align on product requirements and enhance impact.
- Advise leadership on ML initiatives, guiding prioritization and shaping decisions on the development and rollout of ML features.
- Mentor engineers in ML practices to level up Podcast Mission’s capabilities in the space.
- You thrive in agile environments, care deeply about product impact, and bring a user-centered outlook to ML development.
- Bonus: You’ve led initiatives within an organization, expertly balancing trade-offs in large-scale systems, engaging with collaborators, and crafting clear, actionable roadmaps.
