Staff AI Researcher

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  "last_changed_at": "2026-05-29T07:01:55.013Z",
  "active_status": "active"
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  "language": "en",
  "location": {
    "raw": "Remote, United States",
    "city": null,
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    "country": "United States",
    "is_remote": true,
    "confidence": 0.95
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    "language": "en",
    "location": {
      "raw": "Remote, United States",
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      "country": "United States",
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      "confidence": 0.95
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    "countries": [
      "United States"
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{
  "lists": [
    {
      "text": "Primary Duties:",
      "content": "\n<li>Build working prototypes using off-the-shelf and novel AI techniques to deliver higher optimization levels for the company.&nbsp;</li>\n<li>Work with large, complex data sets. Solve difficult, non-routine analysis problems to harvest data.&nbsp;</li>\n<li>Re-design current pipelines and systems to meet the growing data and query needs.</li>\n<li>Implement techniques for fine-tuning and adapting pre-trained generative models to specific healthcare domains or tasks.</li>\n<li>Develop evaluation metrics and benchmarks to assess the quality and performance of AI/ML models.</li>\n<li>Experience in designing and implementing feature engineering pipelines, including data processing, feature extraction, and transformation to optimize model performance.</li>\n<li>Set and uphold the standard for engineering processes to support high-quality engineering, including style and code checking, test harnesses, and release packaging.</li>\n<li>Deliver working POC solutions solving speed, scalability and time-to-market tradeoffs.</li>\n"
    },
    {
      "text": "Minimum Qualifications:",
      "content": "\n<li>BS/BTech (or higher) in Computer Science or a related field required.</li>\n<li>3+ years of relevant deep learning and LLM work experience.</li>\n<li>8+ years of relevant machine learning and statistical analysis experience.</li>\n<li>3+ years or Python language experience.</li>\n<li>Experience in addressing challenges from incomplete, unrepresentative, and mislabeled data.</li>\n<li>Experience working with large-scale distributed systems at scale and statistical software (e.g. Spark).</li>\n<li>3+ years of demonstrated proficiency in selecting the right tools given a data optimization problem.&nbsp;</li>\n"
    },
    {
      "text": "Preferred KSA’s:",
      "content": "\n<li>Ph.D. or Master's degree in a quantitative discipline (e.g., Computer Science[with AI/ML Major], Statistics, Operations Research, Economics, Mathematics, Physics) or equivalent practical experience.</li>\n<li>Proficiency in communicating analysis and establishing confidence among audiences who do not share your disciplinary background or training.</li>\n<li>Experience with security and systems that handle sensitive data.</li>\n<li>Experience with Databricks/MLflow.</li>\n<li>Experience with designing and implementing production-ready agentic systems.</li>\n<li>Proficiency in at least one major deep learning framework (e.g. PyTorch, Tensorflow, Keras, etc), with the ability to design and implement deep learning architectures.&nbsp;</li>\n<li>Demonstrated leadership and self-direction.&nbsp;</li>\n<li>First-author publications at peer-reviewed conferences (e.g. NeurIPS, ICML, ACL, JSM, KDD, EMNLP).</li>\n<li>Winners in ACM-ICPC, NOI/IOI, Kaggle.</li>\n<li>Working knowledge of health-tech systems, like Electronic Health Records, Clinical data, etc.</li>\n"
    },
    {
      "text": "Physical Requirements:",
      "content": "\n<li>Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.</li>\n"
    }
  ],
  "country": "US",
  "createdAt": 1776110669668,
  "updatedAt": null,
  "categories": {
    "team": "Engineering",
    "location": "Remote, United States",
    "commitment": "Full Time",
    "department": "Technology",
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      "Remote, United States"
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