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About the Role
The Personalization team enhances music and podcast discovery through features like Blend and Discover Weekly. This role involves advancing the state of the art in machine learning and AI to shape the future of personalization, influencing product direction and contributing to the research community.
Responsibilities
- Conduct original research in machine learning and AI, focusing 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.
Requirements
- Master’s or PhD in machine learning, AI, or a related field, or equivalent research experience.
- Demonstrated expertise in machine learning and artificial intelligence through peer-reviewed publications at conferences such as NeurIPS, ICLR, ICML, KDD, or RecSys.
- 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.
- Experience in designing experiments and working with real-world datasets to validate research ideas.
- Curiosity, creativity, and a thoughtful approach to solving complex, open-ended problems.
- Value collaboration and actively seek diverse perspectives in your work.
Skills
- Machine learning
- Artificial intelligence
- Large-scale foundation models
- Generative AI
- Post-training methods
- Reinforcement learning
- Reward design
- Large-scale distributed training
- Model evaluation
Location
- New York City
Work Type
- Hybrid
Experience Level
- Master's or PhD
- Equivalent research experience
Education Level
- Master's degree
- PhD
Salary/Compensations
- $133,194 - $190,278 plus equity
Benefits
- Health insurance
- Six month paid parental leave
- 401(k) retirement plan
- Monthly meal allowance
- 23 paid days off
- 13 paid flexible holidays
About the Company
- Spotify's Personalization organization builds the technology that helps millions of listeners discover what they love.
- 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.
Equal Opportunity
- Spotify is an equal opportunity employer.
- We welcome you 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.