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Research Scientist - Personalization

Spotify · company site6d

1 · Can you apply from ?

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New York, NYExact words from the ad · found 28 Sep 2026

2 · What reaches you

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4 · Your working hours

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5 · Trust

Company site · found 28 Sep 2026
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Experience not statedNo degreeMachine learning

Full description

Shown as posted, in English

What You'll Do Conduct original research in machine learning and AI, with a focus on large-scale foundation models, generative AI, and post-training methods, including reinforcement learning. 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, AI, or a related field, or equivalent research experience. You have demonstrated expertise in machine learning and artificial intelligence through peer-reviewed publications at conferences such as NeurIPS, ICLR, ICML, KDD, or RecSys. You have deep knowledge of machine learning, with hands-on experience in areas such as post-training and reinforcement learning for large models, reward design, large-scale distributed training, or evaluation of model behavior. 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. 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. 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.

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Top pay
JobSpotify · company sitePosted 6d ago

Research Scientist - Personalization

1 · Can you apply from ?

Open to
New York, NYExact words from the ad · found 28 Sep 2026

4 · Your working hours

Not stated

The ad doesn’t say which hours. Ask the company.

5 · Trust

Company siteFound 28 Sep 2026
No one should ask you to pay to work.
Something wrong?Report this post

They ask for

Experience not statedNo degreeMachine learning

Full description

Shown as posted, in English

What You'll Do Conduct original research in machine learning and AI, with a focus on large-scale foundation models, generative AI, and post-training methods, including reinforcement learning. 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, AI, or a related field, or equivalent research experience. You have demonstrated expertise in machine learning and artificial intelligence through peer-reviewed publications at conferences such as NeurIPS, ICLR, ICML, KDD, or RecSys. You have deep knowledge of machine learning, with hands-on experience in areas such as post-training and reinforcement learning for large models, reward design, large-scale distributed training, or evaluation of model behavior. 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. 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. 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.