Machine Learning Engineer - Subscriptions

Spotify • Boston, MA

4d • $148,901 - $212,716 • Hybrid

About The Position

The Subscriptions Mission team builds and evolves Spotify’s subscription products to drive growth, retention, and user value. We focus on creating seamless, personalized experiences that help listeners discover the right plan and get the most out of Spotify, while enabling sustainable business growth. You’ll join the User Understanding space within the Subscriptions Mission, where we build machine learning systems that personalize the subscription journey for millions of listeners. Sitting in the Lorax squad, this team focuses on optimizing the full subscription funnel—from discovery to conversion—by delivering relevant, timely, and meaningful experiences. Our work directly impacts how users engage with Spotify and how we grow our subscriber base.

Requirements

• 3+ years of experience applying machine learning in production environments
• Comfortable explaining machine learning concepts, assumptions, and trade-offs to both technical and non-technical partners
• Hands-on experience building and maintaining production ML systems using Python, Scala, or similar languages
• Experience working with modern ML frameworks such as PyTorch or distributed systems like Ray
• Experienced in building data pipelines and independently sourcing and preparing data for modeling
• Worked with cloud platforms such as GCP or AWS
• Care about experimentation, iteration, and using data to guide decisions
• Enjoy working in collaborative, cross-functional teams and contributing to shared outcomes
• Motivated by driving measurable business impact through your work

Responsibilities

• Contribute to designing, building, evaluating, and improving machine learning models that power personalization across the subscription funnel
• Work closely with a cross-functional team of engineers, data scientists, product managers, designers, and researchers to ship impactful features
• Prototype new machine learning approaches and scale them to production for hundreds of millions of users
• Help optimize experimentation frameworks, testing strategies, and tooling to improve model quality and reliability
• Build and maintain robust data pipelines and production-ready ML systems
• Participate in knowledge sharing within the machine learning community across Spotify
• Contribute to improving how we personalize messaging, offers, and user journeys across discovery and conversion surfaces

Benefits

• health insurance
• six-month paid parental leave
• 401(k) retirement plan
• monthly meal allowance
• 23 paid days off
• paid flexible holidays
• paid sick leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed