Spotify

Research Scientist, Personalization


PayCompetitive
LocationNew York/New York
Employment typeOther

This job is now closed

  • Job Description

      Req#: 5801af1a-e645-4545-9733-33397d2bae6f
      Employer Industry: Technology and Music Streaming

      Why consider this job opportunity:
      - Salary up to $188,676 plus equity
      - Comprehensive benefits package including health insurance, 401(k) retirement plan, and six months of paid parental leave
      - Generous paid time off with 23 paid days off and 13 paid flexible holidays
      - Monthly meal allowance provided
      - Opportunity to engage in groundbreaking research and make a significant impact on user experiences
      - Flexibility to work from home with some in-person meetings

      What to Expect (Job Responsibilities):
      - Conduct research at the intersection of artificial intelligence, machine learning, and economics to optimize recommender systems
      - Analyze data, perform experiments, and develop solutions to enhance personalization experiences
      - Collaborate with scientists, engineers, and product teams to design innovative solutions to complex problems
      - Maintain a research profile through external engagements such as publishing and presenting at conferences
      - Develop and manage a long-term research roadmap with product impact

      What is Required (Qualifications):
      - Master's or PhD in machine learning, economics, data science, or related fields, or currently enrolled in an advanced degree program
      - Demonstrated expertise in machine learning and artificial intelligence with peer-reviewed publications in relevant conferences and journals
      - Proficiency in recommender systems and optimizing Generative AI models for various targets
      - Experience in implementing advanced algorithms and working with large-scale data
      - Strong problem-solving skills with a passion for tackling complex challenges

      How to Stand Out (Preferred Qualifications):
      - Experience with published research in top-tier conferences such as NeurIPS, KDD, or RecSys
      - Familiarity with creative solutions in product development and user experience enhancement

      #MachineLearning #AIResearch #DataScience #Personalization #CareerOpportunity #FlexibleWork
  • About the company

      Spotify is all the music you’ll ever need.

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