Research Scientist
Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Artificial Intelligence
In short
Spotify's Personalization team is seeking a Research Scientist to conduct original research in machine learning and AI, focusing on large-scale foundation models and generative AI. You will develop novel methodologies, design experiments, and collaborate with cross-functional partners to influence product direction and contribute to the research community.
Responsibilities
- 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.
Requirements
- Master’s or PhD in machine learning, artificial intelligence, or a related field, or equivalent research experience.
- 2+ years of experience conducting research in machine learning or AI, ideally in an industry or academic setting.
- Track record of publications or contributions to top-tier conferences such as NeurIPS, ICML, ICLR, or similar.
- Deep knowledge of machine learning, with experience in areas such as recommender systems, generative models, or representation learning.
- Experienced in designing experiments and working with real-world datasets to validate research ideas.
- Care about advancing understanding of user behavior and improving experiences across music and talk content.
- Bring curiosity, creativity, and a thoughtful approach to solving complex, open-ended problems.
- Value collaboration and actively seek diverse perspectives in your work.
Benefits
- The United States base range for this position is $133,194 - $190,278 plus equity.
- Health insurance.
- Six month paid parental leave.
- 401(k) retirement plan.
- A monthly meal allowance.
- 23 paid days off.
- 13 paid flexible holidays.
- Extensive learning opportunities, through our dedicated team, GreenHouse.
- Flexible share incentives letting you choose how you share in our success.
- Global parental leave, six months off - for all new parents.
- All The Feels, our employee assistance program and self-care hub.
- Flexible public holidays, swap days off according to your values and beliefs.
#Personalization#Data#Research#Insights#Tech Research#Machine Learning#AI
Company
Spotify
Job Posted
1 week ago
Employment Type
Full Time
WorkMode
Hybrid
Experience Level
Mid-Senior
Locations
New York, United States
Boston, United States
Qualification
Master, Doctoral
Applicants
Be an early applicant