Spotify2mo ago

Machine Learning Engineer

United States·New YorkRemotePermanentmid

Data ScienceMachine Learning EngineerDataData & AI

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Quick Summary

Overview

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features.

Technical Tools

Data ScienceMachine Learning EngineerDataData & AI

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.

We are looking for a Machine Learning Engineer to join the Personalization (PZN) team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with Spotify - and who make impactful changes to Home recommendation systems to achieve this goal. As an integral part of the squad, you will collaborate with research scientists, data scientists and other engineers across PZN in prototyping and productizing state-of-the-art ML at the intersection of recommendations and long-term user satisfaction.

Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development.

Lead collaborations and align across Personalization to integrate and A/B test mid-term signals in various recommendation systems.

Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization.

You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with expertise in statistics and optimization, especially in sequential models, transformers, generative AI and large language models, and relevant fine-tuning processes.

You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders.

You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages.

Experience with PyTorch, Ray, Hugging Face and related tools is required.

You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like GCP or AWS.

You care about agile software processes, data-driven development, reliability, and disciplined experimentation.

We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location.

This team operates within the Eastern Standard time zone for collaboration.

Location & Eligibility

Where is the job

New York, United States

Remote within one country

Who can apply

Listed under

United States

Listing Details

Posted: February 19, 2026
First seen: March 25, 2026
Last seen: May 5, 2026

Posting Health

Days active: 40
Repost count: 0
Trust Level: 39%
Scored at: May 5, 2026

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Spotify

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Our mission is to unlock the potential of human creativity—by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it.

Employees

3k+

Founded

2006

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External application · ~5 min on Spotify's site

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