About the company
At Spotify, the Subscriptions Mission focuses on creating experiences that help listeners discover the value of Spotify, become subscribers, and stay long term. The Subs Foundational Models Product Area builds scalable machine learning solutions that personalize the subscriber journey, from conversion through to long-term retention.
Responsibilities
- Lead multi-week ML initiatives end to end, from translating business requirements into technical specifications to shipping models and measuring impact
- Own components of ML systems, making independent technical trade-offs and keeping them observable, reliable, and well documented
- Collaborate with a multi-functional agile team spanning user research, design, data science, product management, and engineering
- Prototype new approaches and productionise solutions at scale for hundreds of millions of active users
- Help drive optimisation, testing, and tooling to improve quality
- Use AI-assisted engineering to move faster
Requirements
- Experience building and shipping production ML systems
- Strong background in machine learning theory and practice
- Hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar, including model development with PyTorch
- Experience building data pipelines and self-sufficiency in getting data
- Preferably experience with cloud platforms like GCP or AWS
- Care about agile software processes, data development, reliability, and focused experimentation
Conditions
- Flexible work within the EMEA region
- Team operates within Central European and GMT time zone for collaboration