ZipRecruiter

Log In

1

Spotify Machine Learning Engineer Jobs (NOW HIRING)

Spotify

Machine Learning Engineer

Spotify is a leading audio streaming subscription service that aims to unlock the potential of human creativity. They are seeking a Machine Learning Engineer to build systems that analyze the ...

Spotify

Machine Learning Engineer

Spotify is a leading music streaming platform, and they are seeking a Machine Learning Engineer to join their Music Promotion team. The role involves building systems to understand the performance of ...

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

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

Senior Machine Learning Engineer - Ads R&D

$107K - $146K/yr

Spotify is a company that focuses on building a next generation advertising platform for audio and video. They are seeking a Senior Machine Learning Engineer to join their Supply Personalization ...

Quanta Search

Machine Learning Engineer

Manhattan, NY · On-site

Machine Learning Engineers build production grade machine learning algorithms that operate in real ... Previous experience in tech industry (GOOG, AMZN, FB, NFLX, Spotify, etc). * Experience building ...

Quanta Search

Machine Learning Engineer

Manhattan, NY · On-site

Machine Learning Engineers build production grade machine learning algorithms that operate in real ... Previous experience in tech industry (GOOG, AMZN, FB, NFLX, Spotify, etc). * Experience building ...

next page

Showing results 1-20

All JobsSpotify Machine Learning Engineer Jobs

Spotify Machine Learning Engineer information

See salary details

$31.5K

$128.8K

$193.5K

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

As of Jul 2, 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 job?

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 in the Spotify Machine Learning Engineer position, and why are they important?

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.

More about Spotify Machine Learning Engineer jobs
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 June 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Machine Learning Engineer

Spotify

Remote

Full-time

Posted 20 days ago

Job description

Job Summary:
Spotify is a leading audio streaming subscription service that aims to unlock the potential of human creativity. They are seeking a Machine Learning Engineer to build systems that analyze the performance of music promotions, providing actionable insights for creators and partners.
Responsibilities:
• 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.
Qualifications:
Required:
• Experience implementing ML systems at scale in Java, Scala, Python or similar languages
• Experience with ML frameworks such as TensorFlow, PyTorch, etc.
• Understanding of how to bring machine learning models from research to production
• Collaborative mindset, enjoy working closely with research scientists, machine learning engineers, and data engineers
• Experience in optimizing machine learning models for production use cases
• Familiarity with creating model success metric dashboards
• Willingness to take part in an on-call schedule to maintain performance
Preferred:
• Experience with data pipeline tools like Apache Beam, Scio
• Experience with cloud platforms like GCP
• Exposure to causal ML models, including things like counterfactuals
Company:
Spotify is a commercial music streaming service that provides restricted digital content from a range of record labels and artists. Founded in 2006, the company is headquartered in Stockholm, SWE, with a team of 5001-10000 employees. The company is currently Late Stage.

Apply