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Spotify

Research Scientist - Content Platform

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The Content Platform Research team strives to unlock step-change opportunities for Content Platform, Experience, and Spotify through rigorous scientific research and to share our discoveries with Spotify and the broader scientific community. We are now looking for a Research Scientist to join our team!


You will be part of an interdisciplinary team focusing on ensuring that the foundations of Spotify technologies meet and extend state of the art for the field and contributing to the broader research community by publishing papers. Our team has strong ties internally to product groups and externally to the research community.

What You'll Do

  • Participate in innovative research in one of Machine Learning, Natural Language Processing, Information Retrieval, Language Technologies, Content Understanding, Speech Recognition, Audio Processing, Multimodal Modeling.
  • Apply your scientific knowledge to analyze and collect data, perform analyses, identify problems, devise solutions and construct methodologies, including metrics and standard processes, and conduct experiments to validate these.
  • Practical applications of audio, video and language understanding across music, podcasts and audiobooks.
  • Work in collaboration with other scientists, engineers, product managers, designers, user researchers, and analysts across Spotify to design creative solutions to challenging problems.
  • Have product impact while working on and further developing a long-term research roadmap.
  • Maintain a research profile through external engagement such as publishing, giving talks, and being an active community member at top conferences.

Who You Are

  • You have a PhD in one of computer science, machine learning, information retrieval, natural language processing, data science, speech or related areas.
  • You will have a strong knowledge of natural language processing, machine learning, large language models, evaluation, deep learning, optimization techniques, information retrieval, recommender systems, and search or data mining.
  • You have publications in research communities such as ACL, EMNLP, SIGIR, FACCT, NeurIPS, ICML, WSDM, WWW, RecSys, KDD, AAAI, or related.
  • Proven hands-on skills in sourcing, cleaning, manipulating, analyzing, visualizing and modeling of real data.
  • Good coding skills and are familiar with engineering standard methodologies, and are enthusiastic about learning new tools to enable experimentation at scale.
  • You have a passion for making sense of user behavior, especially podcast and music content, using best available methods.
  • You are a creative problem-solver who is passionate about digging into complex problems and devising new approaches to reach results.
  • You are a strong and written and verbal communicator.

Where You'll Be

  • This role is based in New York.
  • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

The United States base range for this position is $132 073,00 - 188 676,00 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

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