Senior Machine Learning Engineer – Personalization

Spotify

Senior Machine Learning Engineer developing recommendation models for Spotify's personalization team. Focused on music recommendations and collaborative efforts to enhance user experience.

Posted 5/19/2026full-timeRemote • New York • 🇺🇸 United StatesSenior💰 $210,000 - $260,000 per yearWebsite

Tech Stack

Tools & technologies

ApacheAWSCloudGoogle Cloud PlatformJavaPythonPyTorchRayScalaSpark

About the role

Key responsibilities & impact

Contribute to the design, development, evaluation, and iteration of recommendation models powering music surfaces
Drive hands-on ML development to improve recommendation quality across core surfaces
Contribute to the team's adoption of generative recommendation models
Promote best practices in ML systems development and testing
Collaborate with Data Science, Product, and Design partners to define success metrics and run A/B experiments
Partner with teams across Personalization to integrate and test new signals in recommendation systems

Requirements

What you’ll need

Strong background in machine learning with expertise in statistics and optimization
Hands-on experience building and shipping production machine learning systems at scale
Experience implementing ML systems in Java, Scala, Python, or similar languages
Familiarity with PyTorch, Ray or Hugging Face is a plus
Some experience with large-scale distributed data processing frameworks like Apache Beam, Apache Spark, or Scio
Experience with cloud platforms like GCP or AWS
Experience collaborating on complex ML projects and navigating cross-functional stakeholders
Care about agile software processes, data-driven development, reliability, and disciplined experimentation

Benefits

Comp & perks

Health insurance
Six month paid parental leave
401(k) retirement plan
Monthly meal allowance
23 paid days off
13 paid flexible holidays
Paid sick leave

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningstatisticsoptimizationJavaScalaPythonPyTorchRayHugging FaceApache Spark

Soft Skills

collaborationcommunicationdata-driven developmentreliabilitydisciplined experimentationagile software processescross-functional collaboration