Research Scientist

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science

In short

Spotify is seeking a Research Scientist in London to conduct original research in machine learning and AI, focusing on large-scale foundation models and generative AI. The role involves developing novel methodologies, designing experiments, and contributing to the scientific community, with a hybrid work model.

Responsibilities

  • Conduct original research in machine learning and AI, with a focus on large-scale foundation models, generative AI, and post-training methods, including reinforcement learning.
  • 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, AI, or a related field, or equivalent research experience.
  • Demonstrated expertise in machine learning and artificial intelligence through peer-reviewed publications at conferences such as NeurIPS, ICLR, ICML, KDD, or RecSys.
  • Deep knowledge of machine learning, with hands-on experience in areas such as post-training and reinforcement learning for large models, reward design, large-scale distributed training, or evaluation of model behavior.
  • 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

  • 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.

Skills

machine learningAIreinforcement learninggenerative AI
#Data#Research#Insights#Tech Research
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About Spotify

Our mission is to unlock the potential of human creativity—by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it. Spotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 70m tracks for free, or upgrade to Spotify Premium to access exclusive features including offline mode, improved sound quality, and an ad-free music listening experience. Today, Spotify is the most popular global audio streaming service with 365m users, including 165m subscribers…

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Company

Spotify

Job Posted

3 days ago

Employment Type

Full Time

Work mode

Hybrid

Experience Level

Mid-Senior

Locations

London, United Kingdom

Qualification

Master, Doctoral

Applicants

Be an early applicant