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Assistant Spotify Data Science Jobs (NOW HIRING)

Melotech

Data Science Intern, Music & Audio

New York, NY · On-site

... Spotify, Blackstone and KKR. What you will do Join us as Data Scientist Intern to bring order to ... the chaos of culture. You'll extract insights from hard-to-reach data sources to tackle the big ...

Spotify

Senior Research Scientist - Music

New York, NY · On-site +1

$107K - $137K/yr

Run large-scale experiments with access to Spotify's extensive infrastructure and an audience of ... D. degree in Computer Science, Mathematics, Engineering, or a related field. Previous industry ...

Spotify

Senior Research Scientist - Music

New York, NY · On-site

$107K - $137K/yr

Run large-scale experiments with access to Spotify's extensive infrastructure and an audience of ... D. degree in Computer Science, Mathematics, Engineering, or a related field. Previous industry ...

Spotify

Machine Learning Engineer

New York, NY · On-site

$148K - $212K/yr

As an integral part of the squad, you will collaborate with research scientists, data scientists ... Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter ...

Spotify

Senior Machine Learning Engineer - Personalization

$125K - $165K/yr

... Data Science, Product, and Design partners to define success metrics, run A/B experiments, and ... Spotify is a commercial music streaming service that provides restricted digital content from a ...

Spotify

Senior Machine Learning Engineer - Personalization

$125K - $165K/yr

Spotify is the world's most popular audio streaming subscription service, and they are seeking a ... Data Science, Product, and Design partners to define success metrics, run A/B experiments, and ...

Spotify

Backend Engineer - Data Infrastructure

New York, NY · On-site +1

$125K - $179K/yr

Spotify is looking for a Backend Engineer to join our Data Infrastructure engineering organization ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

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Assistant Spotify Data Science information

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How much do assistant spotify data science jobs pay per year?

As of Jun 20, 2026, the average yearly pay for assistant spotify data science in the United States is $44,245.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $48,000.00 per year, depending on experience, location, and employer.
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Assistant Spotify Data Science jobs near you
Infographic showing various Assistant Spotify Data Science job openings in the United States as of June 2026, with employment types broken down into 100% As Needed. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $44,245 per year, or $21.3 per hour.

Senior Machine Learning Engineer - Personalization

Spotify

New York, NY

$210K - $260K/yr

Other

Medical, Retirement, PTO

Posted 11 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 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 use the products we build, including destinations like Home and Search, original playlists like Discover Weekly and Daylist, and new innovations like AI DJ and AI Playlists.

The Surfaces Music team is responsible for music recommendations across Spotify's most visible surfaces, including Home and the Now Playing experience. We own music shelf and candidate generation as well as the ranking models that power these experiences. Our models include embedding models for deep catalog discovery, new release recommendations, and a unified transformer-based generative personalization model that is poised to reshape how we deliver personalized experiences across Spotify.

What You'll Do
  • Contribute to the design, development, evaluation, and iteration of recommendation models - including candidate generation, ranking, and embedding models - powering music surfaces at scale.
  • Drive hands-on ML development to improve reward signals and recommendation quality across Home, Now Playing, and other core surfaces.
  • Contribute to the team's adoption of generative recommendation models, partnering with ML and AI infrastructure teams.
  • Promote best practices in ML systems development, testing, and experimentation within the team.
  • Collaborate with Data Science, Product, and Design partners to define success metrics, run A/B experiments, and translate insights into product improvements.
  • Partner with teams across Personalization to integrate and test new signals in recommendation systems.
Who You Are
  • You have a strong background in machine learning and enjoy applying theory to real-world applications, with expertise in statistics and optimization - particularly sequential models, transformers, generative AI, and LLMs.
  • You have hands-on experience building and shipping production machine learning systems at scale, ideally in personalization or recommendation systems.
  • You have experience implementing ML systems in Java, Scala, Python, or similar languages. Familiarity with PyTorch, Ray or Hugging Face is a plus. 
  • You have some experience with large-scale distributed data processing frameworks such as Apache Beam, Apache Spark, or Scio, and cloud platforms like GCP or AWS.
  • You have experience collaborating across teams on complex ML projects and navigating cross-functional stakeholders.
  • You care about agile software processes, data-driven development, reliability, and disciplined experimentation.
Where You'll Be
  • This team operates within the Eastern Standard time zone for collaboration
  • 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. 
The United States base range for this position is $210,000 - $260,000 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. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. 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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