Role overview
We’re part of Spotify’s Podcast Mission, focused on giving podcast creators tools to grow their audiences and connect more deeply with listeners. The team is building the systems that power interactive podcast experiences, enabling everything from polls, comments, and Q&A to emerging agent-driven features.
As a Senior Machine Learning Engineer, from integrating foundational models to crafting feedback loops for real-time interactivity, you'll shape how creators and consumers connect in more dynamic and intelligent ways. This is a product-oriented role where you’ll spend time understanding roadmaps and advising leadership on the trade-offs of implementing ML solutions. You’ll also play a key role in build-vs-buy decisions, assessing the engineering effort required, and connecting with ML teams across Spotify to find opportunities for collaboration with the Podcast mission.
What you'll work on
Who You Are
- You have 5+ years of professional experience in machine learning, with expertise in building and productionize ML systems at scale.
- 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.
- You thrive in agile environments, care deeply about product impact, and bring a user-centered outlook to ML development.
- Bonus: Experience with content recommendation, interactive media formats, or real-time systems.
- Bonus: You’ve led initiatives within an organization, expertly balancing trade-offs in large-scale systems, engaging with collaborators, and crafting clear, actionable roadmaps.
Where You'll Be
- We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location.
- This team operates within the Eastern Standard time zone for collaboration.
The United States base range for this position is $ 176,166 - $ 251,666, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, a monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.
Tags & focus areas
Used for matching and alerts on DevFound Engineer Machine Learning Ai Senior Aws Tensorflow Pytorch Python Gcp Airflow