The opportunity
At Spotify, our Subscriptions Mission focuses on creating experiences that help listeners discover the value of Spotify, become subscribers, and stay with us for the long term. By combining technology, experimentation, and a deep understanding of our users, we help connect…
What you'll do
Lead multi-week ML initiatives end to end, from translating business: requirements into technical specifications to shipping models and measuring their impact on subscriber metrics
Own components of our 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 to build new product features that advance our mission to connect artists and fans in personalised and relevant ways
Prototype new approaches and productionise solutions at scale for our hundreds of millions of active users
Help drive optimisation, testing, and tooling to improve quality
Unblock and share context with your teammates to raise the whole squad's velocity
What they're looking for
- You have experience building and shipping production ML systems
- You have a strong background in machine learning, theory, and practice
- You are comfortable explaining the intuition and assumptions behind ML concepts
- You can own well-scoped ML projects end to end and make sound technical decisions independently
- You communicate clearly with stakeholders and can explain the reasoning behind your technical choices
- You are curious, open to feedback, and keen to grow your scope over time
- You have hands-on experience implementing and maintaining production ML: systems in Python, Scala, or similar languages, including model development with PyTorch
- You are experienced with building data pipelines, and you are self-sufficient: in getting the data you need to build and evaluate your models
