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Spotify Machine Learning Engineer 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 ...

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Spotify Machine Learning Engineer information

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$31.5K

$128.8K

$193.5K

How much do spotify machine learning engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for spotify machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What is a Spotify machine learning engineer?

A Spotify Machine Learning Engineer designs, develops, and optimizes machine learning models to enhance Spotify’s user experience, recommendation systems, and audio analysis. They work with large-scale datasets, experiment with algorithms, and collaborate with data scientists, engineers, and product teams. The role involves deploying models to production, ensuring scalability, and improving personalization for millions of users worldwide. Strong skills in Python, TensorFlow/PyTorch, and cloud computing are essential.

What are the key skills and qualifications needed to thrive as a Spotify machine learning engineer?

To thrive as a Spotify Machine Learning Engineer, you need strong expertise in machine learning, data analysis, programming (especially Python), and a relevant degree in computer science or a similar field. Proficiency with ML frameworks (such as TensorFlow or PyTorch), cloud platforms (like Google Cloud or AWS), and experience with large-scale data processing tools are typically required. Strong problem-solving skills, collaboration, and clear communication help engineers work effectively within diverse, cross-functional teams. These skills enable innovation and ensure seamless integration of machine learning models that directly impact Spotify’s personalized user experiences.

What types of projects do Spotify machine learning engineers typically work on?

Spotify Machine Learning Engineers commonly work on projects involving personalized recommendations, music discovery algorithms, user behavior modeling, and content categorization. These projects often require collaboration with data scientists, backend engineers, and product teams to translate business objectives into scalable ML solutions. The role offers the opportunity to solve complex, real-world challenges at scale, using extensive data to enhance user engagement and product functionality. Engineers regularly experiment with new techniques and iterate on models to deliver more relevant, innovative experiences to Spotify’s global audience.

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What job categories do people searching Spotify Machine Learning Engineer jobs look for? The top searched job categories for Spotify Machine Learning Engineer jobs are:
Spotify Machine Learning Engineer jobs near you
Infographic showing various Spotify Machine Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Machine Learning Engineer

New York Times

Manhattan, NY • On-site

$170.17 - $255.26/hr

Other

Posted 7 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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