Machine Learning Engineer – Subscriptions

Spotify

. Contribute to designing, building, evaluating, and improving machine learning models that power personalization across the subscription funnel .

Posted 5/6/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsGoogle Cloud PlatformPythonPyTorchRayScala

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking!
We have ways to request reasonable accommodations during the interview process and help assist in what you need.
We offer you the flexibility to work where you work best!

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningdata pipelinesproduction ML systemsPythonScalaPyTorchRayexperimentation frameworksmodel qualitydata preparation

Soft Skills

communicationcollaborationproblem-solvingknowledge sharingiterationdata-driven decision makingcross-functional teamworkexplanation of conceptsmotivationimpact-driven