Spotify
Machine Learning Engineer - Subscriptions
Salary not posted. The employer did not include pay in this listing. Ask for the range in your first conversation; it is a fair question.
Posted Yesterday · listed on Lever
Should you apply?
- Open
- 2 days
- Fresh. First-week applicants get read first.
- Open roles at this company
- 98
- Hiring in volume. Recruiters are busy, so a tailored resume that matches the posting's words gets through the screen.
- Salary
- Not posted
- No range in the posting. Ask early. It is a fair question and it saves everyone time.
Days open comes from the posting date. Fill time and reposting rate come from this company's recent public postings.
About the role
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 artists and fans while building a sustainable subscription business.
Within the Subscriptions Mission, the Subs Foundational Models Product Area is part of the Subs User Understanding Studio. We build scalable machine learning solutions that personalize the subscriber journey, from conversion through to long-term retention. Working closely with teams across the mission, we develop ML solutions that improve key business metrics, including subscriber growth, monthly active users, and Premium retention.
We're looking for a Machine Learning Engineer to join our Radius squad. You'll take ownership of impactful ML initiatives, develop and improve production models, and contribute to the foundational ML capabilities that power personalization and optimization across Subscriptions.
Your work could include reducing friction for Free users while balancing retention and conversion, improving payment experiences to reduce Premium churn, or developing reusable models such as subscriber embeddings that support multiple products and use cases.