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Spotify Machine Learning Jobs (NOW HIRING)

Spotify

Research Scientist - Personalization

New York, NY · On-site

$133K - $190K/yr

... with Spotify's personalization strategy * Mentor others and contribute to a strong, curious, and collaborative research culture Who You Are * You have a Master's or PhD in machine learning ...

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Spotify Machine Learning information

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$25.5K

$42.6K

$88K

How much do spotify machine learning jobs pay per year?

As of Sep 8, 2026, the average yearly pay for spotify machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What does a Spotify machine learning engineer do?

A Spotify Machine Learning Engineer designs, builds, and deploys machine learning models to enhance the Spotify platform. Their work involves analyzing large datasets to improve music recommendations, personalize user experiences, and optimize features like search and playlist generation. They collaborate with data scientists, developers, and product teams to solve complex problems using AI and data-driven techniques. This role requires expertise in programming, data analysis, and machine learning frameworks.

How does a Spotify machine learning engineer typically collaborate with product and engineering teams?

As a Machine Learning Engineer at Spotify, you'll work closely with cross-functional teams, including product managers, software engineers, and data scientists, to design and deploy models that enhance user experience. Collaboration often involves participating in brainstorming sessions, sharing model insights, and aligning on product goals to ensure your solutions are impactful and scalable. You'll also routinely communicate your findings and recommendations, helping stakeholders understand complex technical concepts. This collaborative environment encourages innovation and helps drive Spotify's data-driven features, such as personalized playlists and recommendations.

What are the key skills and qualifications needed to thrive as a Spotify machine learning engineer, and why are they important?

To thrive as a Spotify Machine Learning Engineer, you need strong expertise in machine learning algorithms, data analysis, and programming (often in Python), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, and big data platforms like Apache Spark is essential, as well as experience with cloud computing environments. Collaboration, creativity, and effective communication are standout soft skills for working on cross-functional teams and translating complex data insights into impactful solutions. These skills and qualities are crucial to developing personalized, scalable, and innovative features that enhance the Spotify user experience.

What is the difference between Spotify Machine Learning vs Data Scientist?

AspectSpotify Machine LearningData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related field; experience with ML frameworksDegree in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentFocus on developing ML models for music streaming, personalization, and recommendationsAnalyze data, generate insights, and support decision-making across various business units
Employer & Industry UsagePrimarily in tech and entertainment industries, especially streaming servicesWidely used across industries including tech, finance, healthcare, and marketing

Spotify Machine Learning specialists focus on building and deploying ML models to enhance user experience on the platform, while Data Scientists analyze data to inform business strategies. Both roles require strong technical skills, but their core responsibilities differ in application and scope.

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Spotify Machine Learning jobs near you
Infographic showing various Spotify Machine Learning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Research Scientist - Personalization

New York, NY • On-site

Spotify
See more jobs at Spotifyexternal

$133K - $190K/yr

Full-time

Medical, Retirement, PTO

Re-posted 25 days ago

Key responsibilities

  • Conduct original research in machine learning and artificial intelligence, focusing on large-scale foundation models and generative AI

  • Develop novel methodologies, models, and evaluation frameworks to advance personalization systems

  • Design and execute rigorous experiments to explore new ideas and validate research hypotheses

Job description

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.

Spotify's Personalization organization builds the technology that helps millions of listeners discover what they love. Within this space, our research team focuses on advancing the state of the art in machine learning and AI to shape the future of personalization. We explore new approaches, challenge existing assumptions, and contribute to the broader research community while influencing long-term product direction.

What You'll Do
  • Conduct original research in machine learning and artificial intelligence, with a focus on large-scale foundation models and generative AI
  • Develop novel methodologies, models, and evaluation frameworks to advance personalization systems
  • Design and execute rigorous experiments to explore new ideas and validate research hypotheses
  • Contribute to the scientific community through publications, talks, and conference participation
  • Collaborate with cross-functional partners to translate research insights into long-term product opportunities
  • Help define and evolve a forward-looking research agenda aligned with Spotify's personalization strategy
  • Mentor others and contribute to a strong, curious, and collaborative research culture
Who You Are
  • You have a Master's or PhD in machine learning, artificial intelligence, or a related field, or equivalent research experience
  • You have 2+ years of experience conducting research in machine learning or AI, ideally in an industry or academic setting
  • You have a track record of publications or contributions to top-tier conferences such as NeurIPS, ICML, ICLR, or similar
  • You have deep knowledge of machine learning, with experience in areas such as recommender systems, generative models, or representation learning
  • You are experienced in designing experiments and working with real-world datasets to validate research ideas
  • You care about advancing understanding of user behavior and improving experiences across music and talk content
  • You bring curiosity, creativity, and a thoughtful approach to solving complex, open-ended problems
  • You value collaboration and actively seek diverse perspectives in your work
Where You'll Be
  • This role is based in New York City or Boston
  • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home
The United States base range for this position is $133,194 - $190,278 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, a monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can.
 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice
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