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Research Scientist – Personalization
| Company | Spotify |
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| Location | New York, NY, USA |
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| Salary | $132073 – $188676 |
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| Type | Full-Time |
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| Degrees | Master’s, PhD |
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| Experience Level | Senior, Expert or higher |
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Requirements
- Master’s or PhD in machine learning, economics, data science, or related areas or enrollment in an advanced degree program
- Demonstrated expertise in machine learning, artificial intelligence, and optimization, evidenced by peer-reviewed publications in conferences (e.g., NeurIPS, KDD, RecSys) and journals
- Expertise in recommender systems and the ability to optimize Generative AI models for various targets, rewards, or objectives
- Proficient in implementing advanced algorithms and adept at sourcing, cleaning, analyzing, and modeling large-scale data
- Creative problem-solver passionate about digging into complex problems and devising innovative ways to reach results.
Responsibilities
- Participate in groundbreaking research at the intersection of artificial intelligence, machine learning and economics with a focus on large-scale solutions to optimize recommender systems
- Apply scientific knowledge to analyze and collect data, perform analyses, conduct experiments and identify problems, as well as devise solutions through hands-on development
- Work on practical applications such as recommendations and scalable evaluations
- Collaborate with other scientists, engineers, product managers, designers, user researchers, and analysts across Spotify to design creative solutions to challenging problems
- Maintain a research profile through external engagement such as publishing, giving talks, and being an active community member at top conferences.
Preferred Qualifications
No preferred qualifications provided.
