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Spotify Machine Learning Jobs (NOW HIRING)

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Machine Learning Engineer

Manhattan, NY · On-site

Machine Learning Engineers build production grade machine learning algorithms that operate in real ... Previous experience in tech industry (GOOG, AMZN, FB, NFLX, Spotify, etc). * Experience building ...

Quanta Search

Machine Learning Engineer

Manhattan, NY · On-site

Machine Learning Engineers build production grade machine learning algorithms that operate in real ... Previous experience in tech industry (GOOG, AMZN, FB, NFLX, Spotify, etc). * Experience building ...

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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 May 31, 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 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.

How does a Machine Learning Engineer at Spotify 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 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.

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.

More about Spotify Machine Learning jobs
What cities are hiring for Spotify Machine Learning jobs? Cities with the most Spotify Machine Learning job openings:
What states have the most Spotify Machine Learning jobs? States with the most job openings for Spotify Machine Learning jobs include:
What job categories do people searching Spotify Machine Learning jobs look for? The top searched job categories for Spotify Machine Learning jobs are:
Spotify Machine Learning jobs near you
Infographic showing various Spotify Machine Learning job openings in the United States as of May 2026, with employment types broken down into 97% Full Time, 2% Contract, and 1% Nights. Highlights an 95% Physical, and 5% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Engineer, Personalization, Samba

Spotify

New York, NY

$148.90K - $212.72K/yr

Other

Medical, Retirement, PTO

Posted 17 days ago

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.

Samba sits at the heart of Spotify's personalization engine, powering experiences like autoplay, radio, and personalized mixes. We work on complex sequencing and optimization problems-balancing what users love with how Spotify supports creators and the business.

Our team blends machine learning, backend engineering, and data expertise, and collaborates across North America and Europe to deliver impactful, real-time personalization at scale.

What You'll Do
  • Design and build machine learning systems that optimize ranking and sequencing across personalized surfaces
  • Develop multi-objective optimization strategies that balance user satisfaction with business outcomes
  • Collaborate closely with cross-functional partners including product, data science, and engineering teams to align on goals, share context, and deliver impactful solutions
  • Work across ML, backend, and data layers to bring models into production
  • Contribute to scalable infrastructure supporting high-volume user interactions
  • Run experiments and use insights to continuously improve performance
  • Help shape technical direction and raise the bar for engineering excellence within the team
Who You Are
  • You have 5+ years of experience in machine learning, data, or backend engineering
  • You are experienced with production-grade systems and scalable architectures
  • You have worked on recommendation systems, ranking, or optimization problems
  • You bring a T-shaped skillset across ML, data, and backend domains
  • You are comfortable navigating ambiguity and solving complex problems
  • You care about user experience and measurable impact
  • You enjoy collaborating across disciplines and geographies
Where You'll Be
  • 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.
The United States base range for this position is $148,901- $212,716 plus equity. The benefits available for this position include 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. 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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