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Spotify Machine Learning Jobs (NOW HIRING)

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately ... Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately ... Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter ...

Spotify

Machine Learning Engineer

New York, NY

$148K - $212K/yr

From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by ... We are looking for a Machine Learning Engineer to join the Personalization (PZN) team - an area of ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$148K - $212K/yr

From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by ... We are looking for a Machine Learning Engineer to join the Personalization (PZN) team - an area of ...

Spotify

Machine Learning Engineer

Spotify is a leading company in the music streaming industry, known for its innovative features like Blend and Discover Weekly. They are seeking a Machine Learning Engineer to join their ...

Spotify

Senior Staff Machine Learning Engineer

$107K - $146.90K/yr

Spotify is a leading audio streaming subscription service that aims to enhance the listening experience for users. The Senior Staff Machine Learning Engineer will focus on recommender systems ...

Spotify

Machine Learning Engineer - Personalization

$117.20K - $140.70K/yr

Spotify is a leading audio streaming platform, and they are seeking a Machine Learning Engineer to enhance their personalization capabilities. The role involves hands-on development of machine ...

Spotify

Senior Staff Machine Learning Engineer

$107K - $146.90K/yr

Spotify is a leading music streaming service that aims to enhance the listening experience for users. The Senior Staff Machine Learning Engineer will focus on recommender systems and collaborate with ...

Spotify

Senior Staff Machine Learning Engineer

$107K - $146.90K/yr

Spotify is a leading music streaming platform, and they are seeking a Senior Staff Machine Learning Engineer to focus on recommender systems modeling. This role involves defining and executing the ...

Spotify

Staff Machine Learning Engineer

Spotify is a leading music streaming service that aims to enhance user experience through personalized recommendations. They are seeking a Staff Machine Learning Engineer to contribute to the ...

Spotify

Staff Machine Learning Engineer

New York, NY · On-site +1

$227.50K - $324.99K/yr

From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by ... We are looking for a Machine Learning Engineer to join the Personalization team - an area of ...

Spotify

Staff Machine Learning Engineer

New York, NY · On-site

$227.50K - $324.99K/yr

From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by ... We are looking for a Machine Learning Engineer to join the Personalization team - an area of ...

Spotify

Senior Staff Machine Learning Engineer

New York, NY · On-site +1

$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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All JobsSpotify Machine Learning Jobs

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 29, 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

Spotify

New York, NY • On-site, Remote

$170K - $212K/yr

Other

Medical, Retirement, PTO

Posted 19 days ago

Job description

The Music Promotion team is building products that allow creators to promote their work to reach new audiences and create lasting connections with their fans. We're looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their promotion strategies, whether it's a DIY artist or an industry-facing partner.

As an ML Engineer, you will help execute on strategies for understanding the factors that play a role in the performance of promoted tracks across the globe. You'll build data-driven solutions, as well as effective online and offline strategies to efficiently iterate and evaluate model approaches. You'll have access to a growing list of datasets, features and ML infrastructure to continually experiment and improve the model-based approach.

What You'll Do
 
  • Contribute to the design, build, evaluation, shipping, and refinement of systems that improve Spotify's promotional performance with hands-on ML development
  • Collaborate with a multidisciplinary team to optimize machine learning models for production use cases, ensuring they are highly efficient, scalable, and consistently meet well-defined success criteria
  • Influence the technical design, architecture, and infrastructure decisions to support new and diverse machine learning architectures.
  • Work with Data and ML Engineers to support transitioning machine learning models from research and development into production
  • Implement and monitor model success metrics, diagnose issues, and contribute to an on-call schedule to maintain production stability.
Who You Are
 
  • You have experience implementing ML systems at scale in Java, Scala, Python or similar languages as well as experience with ML frameworks such as TensorFlow, PyTorch, etc.
  • You have an understanding of how to bring machine learning models from research to production and are comfortable working with innovative, cutting-edge architectures.
  • You have a collaborative mindset, enjoy working closely with research scientists, machine learning engineers, and data engineers to innovate and improve models.
  • You have experience in optimizing machine learning models for production use cases
  • You preferably have experience with data pipeline tools like Apache Beam, Scio, and cloud platforms like GCP
  • You have some exposure to causal ML models, including things like counterfactuals.
  • You are familiar with creating model success metric dashboards, diagnosing production issues, and are willing to take part in an on-call schedule to maintain performance.
Where You'll Be
We offer you the flexibility to work where you work best! For this role, you can be within the EST time zone as long as we have a work location.
The United States base range for this position is $170,000 - $212,000 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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