Senior Machine Learning Engineer

Technology, Data & Digital · Data, AI & Analytics · Machine Learning

In short

We are looking for a Senior Machine Learning Engineer to join the Personalization team at Spotify in New York. You will build and improve machine learning models for Search relevance, personalization, and ranking systems, working with large-scale datasets and exploring emerging AI technologies.

Responsibilities

Build and improve machine learning models that make Spotify Search more relevant, personalized, and engaging for listeners.
Develop and optimize ranking and backend retrieval systems that help listeners discover music, videos, audiobooks, and other content.
Explore emerging AI and agentic approaches to create more intuitive and conversational Search experiences.
Design, implement, and evaluate machine learning solutions, taking ideas from early experimentation through production.
Partner with engineers, product managers, designers, and researchers to identify opportunities and deliver meaningful improvements to Search.
Use experimentation, data analysis, and performance metrics to understand model behavior, validate hypotheses, and improve the listener experience.
Contribute to scalable machine learning infrastructure and engineering practices that support reliable, high-quality Search experiences.
Share knowledge, challenge assumptions constructively, and help shape the technical direction of machine learning within the squad.

Requirements

Experience building, deploying, and improving machine learning systems in production environments.
Strong understanding of machine learning approaches for information retrieval, search ranking, recommendation systems, or personalization.
Proficient in Python and comfortable working with modern machine learning frameworks and data processing tools.
Experience and a desire to lean into backend engineering at Spotify scale.
Understand how to design and evaluate experiments, interpret model performance, and translate technical findings into product improvements.
Experience working with large-scale datasets and understand the challenges of building reliable, scalable machine learning systems.
Curious about emerging AI technologies, including large language models and agentic systems, and interested in their potential to improve discovery experiences.
Enjoy working across disciplines, communicating technical ideas clearly, and learning from different perspectives.
Comfortable navigating ambiguity, taking ownership of complex challenges, and balancing experimentation with practical delivery.

Benefits

The United States base range for this position is 184,049–262,928 USD, plus equity.
Health insurance
Six-month paid parental leave
401(k) retirement plan
Monthly meal allowance
23 paid days off
Paid flexible holidays
Paid sick leave.
Extensive learning opportunities, through our dedicated team, GreenHouse.
Flexible share incentives letting you choose how you share in our success.
Global parental leave, six months off - for all new parents.
All The Feels, our employee assistance program and self-care hub.
Flexible public holidays, swap days off according to your values and beliefs.

Skills

PythonMachine Learning

#Personalization#Engineering#Machine Learning#Permanent#New York

About Spotify

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. Spotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 70m tracks for free, or upgrade to Spotify Premium to access exclusive features including offline mode, improved sound quality, and an ad-free music listening experience. Today, Spotify is the most popular global audio streaming service with 365m users, including 165m subscribers…

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