Senior Research Scientist - Music

{
  "content_hash": "1c83612958b82232ae196f5287342010fd7f47e7624fe9857652e0c65d398dc5",
  "source_hash": "40af2de39f2496c663002e4e323a108172e1ab9db25757aa10a9f2808786d86e",
  "last_changed_at": "2026-05-29T07:00:52.396Z",
  "active_status": "active"
}

{
  "dedupe": null,
  "language": "en",
  "location": {
    "raw": "New York, NY",
    "city": "New York",
    "region": "NY",
    "country": "United States",
    "is_remote": true,
    "confidence": 0.9
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-22T07:56:04.873Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "New York, NY",
      "city": "New York",
      "region": "NY",
      "country": "United States",
      "is_remote": true,
      "confidence": 0.9
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "remote",
  "salary_period": null,
  "workplace_type": "remote",
  "salary_currency": null
}

{}

{
  "lists": [
    {
      "text": "What You'll Do",
      "content": "\n<li>Conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing.</li>\n<li>Run large-scale experiments with access to Spotify’s extensive infrastructure and an audience of more than 700 million monthly active users.</li>\n<li>Create practical applications that harness generative technologies, pushing the boundaries of what’s possible in listening experiences.</li>\n<li>Collaborate as part of a cross-functional team—working closely with scientists, engineers, product managers, designers, user researchers, and analysts—to craft innovative solutions to complex challenges.</li>\n<li>Have a direct impact on Spotify’s products, tools, and services, working on projects that influence the entire organization.</li>\n<li>Engage with the broader research community by publishing your findings, delivering talks, and attending top conferences.</li>\n"
    },
    {
      "text": "Who You Are",
      "content": "\n<li>You have a Ph.D. degree in Computer Science, Mathematics, Engineering, or a related field. Previous industry experience is helpful.</li>\n<li>You have experience in one or more of the following fields: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic modeling, computer vision, or related areas.</li>\n<li>You have publications in communities such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related.</li>\n<li>You have strong coding skills in the following languages/libraries: Python, PyTorch, NumPy.</li>\n<li>You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people.</li>\n<li>You are enthusiastic about learning more about turning research ideas into products operating at scale.</li>\n<li>You can explain complex topics in simple terms, and you enjoy building strong relationships with colleagues and stakeholders.</li>\n"
    },
    {
      "text": "Where You'll Be",
      "content": "\n<li>We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have<a rel=\"noopener noreferrer\" href=\"https://lifeatspotify.com/being-here/work-from-anywhere\" class=\"postings-link\"> a work location.</a></li>\n<li>This team operates within the Eastern Standard time zone for collaboration.</li>\n<li>Core working hours are CET 3pm-6pm / EST 9am-12pm.</li>\n"
    }
  ],
  "country": "US",
  "createdAt": 1761245783111,
  "updatedAt": null,
  "categories": {
    "team": "Music",
    "location": "New York, NY",
    "commitment": "Permanent",
    "department": "Data and Analytics",
    "allLocations": [
      "New York, NY"
    ]
  },
  "salaryRange": null,
  "workplaceType": "remote"
}