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Spotify Machine Learning Jobs (NOW HIRING)

Spotify

Senior Staff Machine Learning Engineer

New York, NY

$114.30K - $157K/yr

Generative AI is transforming Spotify's product capabilities and technical architecture. Generative ... This Senior Staff Machine Learning Engineer will focus on recommender systems modeling at the ...

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How much do spotify machine learning jobs pay per year?

As of May 30, 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.

Senior Staff Machine Learning Engineer

Spotify

New York, NY

$114.30K - $157K/yr

Other

Medical, Retirement, PTO

Posted 14 days ago

Job description

The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music and podcasts better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search, original playlists like Discover Weekly and Daylist, and are at the forefront of new innovations like AI DJ and AI Playlists.

Generative AI is transforming Spotify's product capabilities and technical architecture. Generative recommender systems, agent frameworks, and LLMs present huge opportunities for our products to serve more user needs and use cases and unlock richer understanding of our content and users.

This Senior Staff Machine Learning Engineer will focus on recommender systems modeling at the intersection of generative recommenders and foundational understanding of personalization across music and talk content formats. You will work closely with a cross-functional team to define and execute the machine learning technical strategy for the product area, building the next generation of Spotify content and user representations and the technical architecture to support it. You will work as an individual contributor, offering the opportunity to shape the direction of Home loading paradigms, page serving, content filtering and content storage.

Join us and you'll keep millions of users listening to great recommendations every day!
 
What You'll Do
  • Contribute to defining the machine learning technical strategy at the intersection of generative recommenders and foundational user modeling
  • Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that connect fans and artists in personalized, meaningful ways
  • Provide expert technical leadership and direction to accelerate development, ensure scalability and push the boundaries of current methods
  • Contribute to designing, building, evaluating, shipping, and refining Spotify's personalization products by hands-on ML developmentPrototype new modeling approaches and productionize solutions at scale for our hundreds of millions of active users
  • Promote and role-model best practices of ML model development, testing, evaluation, etc., both inside the team as well as throughout the organization
  • Engage with the broader ML community within Spotify and stay current with ML research to inspire and evolve our approaches
  • Partner closely with teams to translate their needs into foundational systems that enable each step of the core content lifecycle.
  • Mentor engineers and influence technical strategy by setting high standards in methodology, reproducibility, and collaboration.
Who You Are
  • You have a strong background in machine learning and recommender systems, and you know how to bridge research and end-user impact
  • You have production experience developing large-scale machine learning systems in Java, Scala, Python, or similar languages. Experience with PyTorch, Tensorflow, JAX is a strong plus
  • You have hands-on experience training and operating transformer models in production settings, or a strong interest in doing so
  • You enjoy leading projects from start to finish working closely with your team and peers
  • You are comfortable dealing with ambiguity on high impact projects
  • You're a strong communicator and systems thinker who can drive alignment and influence across technical and product stakeholders
  • You care about agile software processes, data-driven development, reliability, and disciplined experimentation
  • You stay current on ML trends and are eager to apply emerging ideas to Spotify's challenges
  • You're passionate about the opportunity to enrich the listening experience for users around the world
  • You have extensive experience in designing system architectures that include machine learning models as key components in enabling the product experiences.
  • You have a strong bias to action by building MVPs, prototypes and illustrating ideas through concise documents to drive initiatives forward.
  • Team-first approach with developed techniques to ensure teams are happy, motivated, and productive
  • You enjoy leading projects from start to finish working closely with your team and peers. You are comfortable dealing with ambiguity on high impact projects
  • Accountable to senior tech leadership for meeting our product and technology objectives and managing expectations if those are at risk
  • Demonstrated success leading technical initiatives and shaping strategic directions through cross-functional collaboration.
  • Excellent communication skills and stakeholder management abilities; comfortable operating at the intersection of science and engineering
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 $264,641-$378,058 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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