Spotify via Lever

Research Scientist - Personalization

Level not stated United States

still open verified 1d ago posted 150d ago checked just now

Apply at jobs.lever.co

This is the employer's own posting, not a copy on a job board.

What we know

Is it still open?

Confirmed still open

Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.

We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.

Check this listing's status as JSON

How old is it?

Posted 150d ago

The date the source published, not the day we noticed it (2026-04-17). Last seen at its source just now.

Is it remote?

Marked remote on the employer's board

Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.

Who may apply?

United States

The description states no restriction of its own. This is the source's own tag.

Pay not stated

Similar roles pay $110k–190.1k/yr

Middle 50% of 644 listings that do state pay — Operations · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.

Skills named in the ad

Machine Learning

Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.

Carried by 1 source

lever employer's own board first seen 30d ago · last seen just now

The listing

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.

Spotify’s Personalization organization builds the technology that helps millions of listeners discover what they love. Within this space, our research team focuses on advancing the state of the art in machine learning and AI to shape the future of personalization. We explore new approaches, challenge existing assumptions, and contribute to the broader research community while influencing long-term product direction.

What You'll Do

Conduct original research in machine learning and artificial intelligence, with a focus on large-scale foundation models and generative AI

Develop novel methodologies, models, and evaluation frameworks to advance personalization systems

Design and execute rigorous experiments to explore new ideas and validate research hypotheses

Contribute to the scientific community through publications, talks, and conference participation

Collaborate with cross-functional partners to translate research insights into long-term product opportunities

Help define and evolve a forward-looking research agenda aligned with Spotify’s personalization strategy

Mentor others and contribute to a strong, curious, and collaborative research culture

Who You Are

You have a Master’s or PhD in machine learning, artificial intelligence, or a related field, or equivalent research experience

You have 2+ years of experience conducting research in machine learning or AI, ideally in an industry or academic setting

You have a track record of publications or contributions to top-tier conferences such as NeurIPS, ICML, ICLR, or similar

You have deep knowledge of machine learning, with experience in areas such as recommender systems, generative models, or representation learning

You are experienced in designing experiments and working with real-world datasets to validate research ideas

You care about advancing understanding of user behavior and improving experiences across music and talk content

You bring curiosity, creativity, and a thoughtful approach to solving complex, open-ended problems

You value collaboration and actively seek diverse perspectives in your work

Where You'll Be

This role is based in New York City or Boston
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home

The United States base range for this position is $133,194 - $190,278 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, a monthly meal allowance, 23 paid days off, 13 paid flexible holidays. 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.