Senior Research Scientist - Personalization

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  "active_status": "active"
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    "city": "New York",
    "region": "NY",
    "country": "United States",
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{
  "lists": [
    {
      "text": "What You'll Do",
      "content": "\n<li data-section-id=\"p27prc\" data-start=\"1385\" data-end=\"1527\">Conduct original research in machine learning and artificial intelligence, with a focus on large-scale foundation models and generative AI</li>\n<li data-section-id=\"1xttvoz\" data-start=\"1528\" data-end=\"1629\">Develop novel methodologies, models, and evaluation frameworks to advance personalization systems</li>\n<li data-section-id=\"1mbp93q\" data-start=\"1630\" data-end=\"1727\">Design and execute rigorous experiments to explore new ideas and validate research hypotheses</li>\n<li data-section-id=\"ioc1ns\" data-start=\"1728\" data-end=\"1828\">Contribute to the scientific community through publications, talks, and conference participation</li>\n<li data-section-id=\"udqdrt\" data-start=\"1829\" data-end=\"1943\">Collaborate with cross-functional partners to translate research insights into long-term product opportunities</li>\n<li data-section-id=\"r2j95e\" data-start=\"1944\" data-end=\"2052\">Help define and evolve a forward-looking research agenda aligned with Spotify’s personalization strategy</li>\n<li data-section-id=\"4jfcqm\" data-start=\"2053\" data-end=\"2142\">Mentor others and contribute to a strong, curious, and collaborative research culture</li>\n"
    },
    {
      "text": "Who You Are",
      "content": "\n<li data-section-id=\"40mcp\" data-start=\"2158\" data-end=\"2288\">You have a Master’s or PhD in machine learning, artificial intelligence, or a related field, or equivalent research experience</li>\n<li data-section-id=\"bazr8d\" data-start=\"2289\" data-end=\"2414\">You have 2+ years of experience conducting research in machine learning or AI, ideally in an industry or academic setting</li>\n<li data-section-id=\"4xb0xc\" data-start=\"2415\" data-end=\"2539\">You have a track record of publications or contributions to top-tier conferences such as NeurIPS, ICML, ICLR, or similar</li>\n<li data-section-id=\"1b0h252\" data-start=\"2540\" data-end=\"2688\">You have deep knowledge of machine learning, with experience in areas such as recommender systems, generative models, or representation learning</li>\n<li data-section-id=\"iwqraa\" data-start=\"2689\" data-end=\"2801\">You are experienced in designing experiments and working with real-world datasets to validate research ideas</li>\n<li data-section-id=\"18rvtm3\" data-start=\"2802\" data-end=\"2917\">You care about advancing understanding of user behavior and improving experiences across music and talk content</li>\n<li data-section-id=\"1r6g4tw\" data-start=\"2918\" data-end=\"3020\">You bring curiosity, creativity, and a thoughtful approach to solving complex, open-ended problems</li>\n<li data-section-id=\"fu85z\" data-start=\"3021\" data-end=\"3100\">You value collaboration and actively seek diverse perspectives in your work</li>\n"
    },
    {
      "text": "Where You'll Be",
      "content": "<div>\n\n<li data-section-id=\"1ftivxw\" data-start=\"2819\" data-end=\"2868\">This role is based in New York City or Boston</li>\n<li data-section-id=\"34byis\" data-start=\"2869\" data-end=\"3020\">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</li>\n\n</div>"
    }
  ],
  "country": "US",
  "createdAt": 1776443258629,
  "updatedAt": null,
  "categories": {
    "team": "Personalization",
    "location": "New York, NY",
    "commitment": "Permanent",
    "department": "Data and Analytics",
    "allLocations": [
      "New York, NY",
      "Boston, MA"
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