Research Scientist - Personalization
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 14h 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.
How old is it?
Posted 10d ago
The date the source published, not the day we noticed it (2026-09-21). Last seen at its source 1h ago.
We have tracked this listing since 21 Sep 2026 (10 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
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 $105k–182.6k/yr
Middle 50% of 1108 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
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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lever employer's own board first seen 10d ago · last seen 1h ago
The listing
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.