# Senior Research Scientist - Personalization

**Company:** [Spotify](https://hotfix.jobs/companies/spotify)
**Location:** New York, NY, Boston, MA
**Role:** AI Research
**Experience:** 2+ years
**Skills:** Machine Learning, artificial intelligence, recommender systems, generative models, representation learning, Foundation Models, experiment design, Python, PyTorch, TensorFlow
**Posted:** 2026-04-17

> Conduct original ML/AI research focused on large-scale foundation models and generative AI to advance Spotify's personalization systems like Discover Weekly. Requires PhD or Master's with publication track record in top conferences, 2+ years research experience, and expertise in recommender systems or representation learning.

## Job Description

## 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

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