{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/content-classifiers"},"x-facet":{"type":"skill","slug":"content-classifiers","display":"Content Classifiers","count":1},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9a922408-ad3"},"title":"Member of Technical Staff, Applied Scientist","description":"<p><strong>Summary</strong></p>\n<p>Microsoft are looking for a talented Member of Technical Staff, Applied Scientist at their Mountain View office. This role sits at the heart of designing and building advanced Copilot features such as Deep Research and Web artifact generation. You&#39;ll contribute to the evolution of Copilot by developing scalable methods for evaluating feature performance, designing data collection pipelines for prompt engineering and fine-tuning, and training content classifiers that support intelligent, context-aware interactions.</p>\n<p><strong>About the Role</strong></p>\n<p>This role demands deep expertise in large language models (LLMs) and a strong architectural mindset to shape complex, user-facing systems. You&#39;ll lead evaluation efforts of models deployed within Copilot, ensuring performance aligns with product goals. You&#39;ll also design scalable systems that leverage LLMs to deliver intelligent, user-facing experiences. Additionally, you&#39;ll develop evaluation frameworks and metrics to assess feature performance and user impact, conduct thorough reviews of data analysis and techniques to identify gaps and areas for re-examination, and build data collection pipelines to support prompt engineering and fine-tuning of LLMs.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Architect and implement advanced Copilot features such as Deep Research and Web artifact generation</li>\n<li>Lead evaluation efforts of models deployed within Copilot, ensuring performance aligns with product goals</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>4+ years related experience (e.g., statistics predictive analytics, research)</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Experience prompting, evaluating, and working with large language models</li>\n<li>Experience writing production-quality Python code</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Proactive collaborator who communicates clearly</li>\n<li>Thrives in fast-paced environments</li>\n<li>Takes ownership of delivering world-class consumer experiences</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary</li>\n<li>Comprehensive benefits package</li>\n<li>Opportunities for professional growth and development</li>\n<li>Collaborative and dynamic work environment</li>\n<li>Recognition and rewards for outstanding performance</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9a922408-ad3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/member-of-technical-staff-applied-scientist/","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"USD $119,800 – $234,700 per year","x-skills-required":["large language models","prompt engineering","fine-tuning","content classifiers","scalable systems","evaluation frameworks","metrics","data analysis","data collection pipelines"],"x-skills-preferred":["responsible AI","research sciences"],"datePosted":"2026-03-06T07:28:33.009Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"large language models, prompt engineering, fine-tuning, content classifiers, scalable systems, evaluation frameworks, metrics, data analysis, data collection pipelines, responsible AI, research sciences","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":119800,"maxValue":234700,"unitText":"YEAR"}}}]}