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Spotify Machine Learning Jobs (NOW HIRING)

Spotify

$184K - $262K/yr

We design Spotify's consumer experience-end to end, moment to moment, across every screen, platform ... Working at the intersection of machine learning, platform engineering, and regulatory compliance ...

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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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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?

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What job categories do people searching Spotify Machine Learning jobs look for?

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Spotify Machine Learning jobs near you
Infographic showing various Spotify Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Engineering Manager, Personalization

Spotify

Boston, MA • Remote

$184K - $262K/yr

Full-time

Medical, Retirement, PTO

Re-posted 16 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.

You'll join the Saturn squad within Sessions, part of Spotify's Personalization Mission. The team is focused on training and improving the machine learning models that rank and personalize some of Spotify's most-loved listening experiences, including Radio and Daily Mix. As part of Personalization's broader strategy, the team is also helping shape the future of generative recommendations by developing and adopting new approaches that leverage large language models, including fine-tuning models to improve the quality, relevance, and personalization of our playlists. As the Engineering Manager, you'll lead a talented team of machine learning, backend and data engineers while providing both technical direction and people leadership, helping the team deliver innovative ML capabilities that reach millions of listeners every day.
What You'll Do
  • Lead, coach, and develop a team of machine learning engineers, creating an inclusive, high-performing engineering culture.
  • Set the technical direction for the team while partnering with Product, Data Science, and Engineering leaders to deliver impactful machine learning capabilities.
  • Guide the design, development, deployment, and operation of production machine learning systems at scale.
  • Support engineers through technical mentorship, career development, performance management, and regular feedback.
  • Drive execution by helping the team prioritize work, remove obstacles, and continuously improve delivery.
  • Foster engineering excellence through modern software engineering practices, experimentation, and operational excellence.
  • Partner across squads and missions to influence technical strategy and ensure alignment across the Personalization organization.
  • Champion thoughtful adoption of emerging machine learning technologies, including large language models, where they create meaningful user value.
Who You Are
  • You have experience leading and developing high-performing engineering teams.
  • You have built trust through coaching, mentoring, and supporting engineers in their career growth.
  • You have deep expertise building and operating production machine learning systems at scale.
  • You understand the end-to-end machine learning lifecycle, from experimentation through deployment and monitoring.
  • You are experienced working with modern machine learning techniques, including large language models and generative AI applications.
  • You communicate effectively across engineering, product, and data science partners.
  • You care about building inclusive teams where collaboration, curiosity, and continuous learning thrive.
  • You balance technical excellence with pragmatic decision-making and delivering meaningful business outcomes.
Where You'll Be
We offer you the flexibility to work where you work best! For this role, you can be within the Eastern Standard time zone.
The United States base range for this position is $184,049- $262,928 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