We in the Machine Learning product area in the Activation, Retention, Conversion studio are focused on building robust and scalable machine learning solutions that can personalize activation, retention and conversion funnels to improve important business metrics like SUBS and MAU. Through our messaging platform as well as other discovery & conversion surfaces, we communicate with users to connect them with valuable audio content and to help the business grow.
We are looking for a passionate Machine Learning Engineer to help us accomplish our mission: Optimize the user journey to drive retention by educating, re-activating, and fostering long-term engagement among free and premium users.
You’ll be working on a set of ML and Data initiatives focused on improving free and premium retention, including:
- Premium churn prediction and mitigation
- Personalisation of premium education surfaces promoting premium value
- Payment failure grace period optimisation
What You'll Do
Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development
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 personalized and relevant ways
Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users
Help drive optimisation, testing, and tooling to improve quality
Be part of an active group of machine learning practitioners in your mission and across Spotify Who You Are
You have a strong background in machine learning, theory, and practice
You are comfortable explaining the intuition and assumptions behind ML concepts
You have hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar languages
Experience with TensorFlow is also a plus
You are experienced with building data pipelines, and you are self-sufficient in getting the data you need to build and evaluate your models
You preferably have experience with cloud platforms like GCP or AWS
You care about agile software processes, data development, reliability, and focused experimentation
You have a desire to drive business impact Where You'll Be
This role is based in London (UK) or Stockholm (Sweden).
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
