Research Scientist – Personalization
Spotify
full-time
Posted on:
Location Type: Hybrid
Location: New York City • New York • United States
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Salary
💰 $133,195 - $190,278 per year
About the role
- Participate in groundbreaking research in artificial intelligence and machine learning with a focus on large-scale solutions to optimize recommender systems.
- Apply your 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.
- Work in collaboration with other scientists, engineers, product managers, designers, user researchers, and analysts across Spotify to design creative solutions to challenging problems.
- You'll have product impact, while working on and further developing a long-term research roadmap.
- You will maintain a research profile through external engagement such as publishing, giving talks, and being an active community member at top conferences.
Requirements
- You have a Masters or PhD in machine learning, data science, or related areas or are enrolled in an advanced degree program.
- Demonstrated expertise in machine learning and artificial intelligence through peer-reviewed publications at conferences (such as NeurIPS, KDD, RecSys or related)
- A solid understanding or past research experience on recommender systems and ability to optimize Generative AI models for new targets, rewards or multiple objectives.
- Solid hands-on skills in implementing advanced algorithms, as well as sourcing, cleaning, analyzing and modeling of large-scale real data.
- You're a creative problem-solver who is passionate about digging into complex problems and devising new approaches to reach results.
Benefits
- health insurance
- six month paid parental leave
- 401(k) retirement plan
- a monthly meal allowance
- 23 paid days off
- 13 paid flexible holidays
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningartificial intelligencerecommender systemsGenerative AIdata analysisalgorithm implementationdata cleaningdata modelinglarge-scale data processingexperimental design
Soft skills
creative problem-solvingcollaborationcommunicationanalytical thinkingresearch engagement
Certifications
Masters in machine learningPhD in machine learningadvanced degree in data science