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Spotify Machine Learning Jobs (NOW HIRING)

New York Times

Machine Learning Engineer

Manhattan, NY · On-site

$170.17 - $255.26/hr

Job Overview Machine Learning Engineer w/ Spotify USA Inc. in NY, NY. Bld productn systms that enrich & improve Spotify listeners' exp on Spotify usg machine learng techniques. Bach deg (U.S. or for ...

Spotify

Senior Machine Learning Engineer - Ads R&D

$107K - $146K/yr

Spotify is seeking a Senior Machine Learning Engineer to join their Advertising Product & Technology team, focused on building a next generation advertising platform. The role involves optimizing ad ...

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

See salary details

$25.5K

$42.6K

$88K

How much do spotify machine learning jobs pay per year?

As of Aug 19, 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.

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?

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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 August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% 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 Engineer

New York Times

Manhattan, NY • On-site

$170.17 - $255.26/hr

Other

Posted 13 days ago

Job description

Job Overview

Machine Learning Engineer w/ Spotify USA Inc. in NY, NY. Bld productn systms that enrich & improve Spotify listeners' exp on Spotify usg machine learng techniques. Bach deg (U.S. or for equiv) in Engg (any), Comp Sci , Operatns Resrch, Math, Physics or rel field of study & 2 yrs of exp in Machine Learning or rel role. *

Responsibilities
  • Build product systems that enhance Spotify listeners' experience using machine learning techniques
  • Develop machine learning & deep learning models using Python, including data preprocessing, feature engineering, model training, and evaluation for large-scale datasets
  • Use SQL for large-scale data analysis & validation, including query, aggregation, and analysis of structured data to support model development & evaluation
  • Implement and train neural network models such as transformers & contrastive learning architectures using deep learning frameworks (e.g., PyTorch)
Qualifications
  • Bachelor’s degree (U.S. or equivalent) in Engineering (any), Computer Science, Operations Research, Mathematics, Physics or a related field
  • At least 2 years of experience in Machine Learning or a related role
  • At least 2 years of experience developing machine learning & deep learning models with Python
  • Experience with large-scale dataset processing, SQL, and model evaluation
  • Experience with deep learning frameworks such as PyTorch, implementing transformer and contrastive learning models
Benefits
  • Telecommuting permitted: work may be performed within normal commuting distance from the Spotify office in NY, NY
  • Salary: $170,173 - $255,259/yr
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