Research Scientist - Personalization

4 мес. назад

USARemote

machine learningartificial intelligencepersonalization

Research Scientist role focusing on advancing machine learning and AI for personalized music recommendations at .

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 ’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. ’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 d

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 ’s personalization strategy
Mentor others and contribute to a strong, curious, and collaborative research culture

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

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