{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/ablations"},"x-facet":{"type":"skill","slug":"ablations","display":"Ablations","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_b2f91c0a-0b3"},"title":"Principal Applied Scientist","description":"<p>We are seeking a Principal Applied Scientist to lead the next generation of click-through-rate (CTR) for Microsoft Advertising. This is a high-impact role responsible for advancing large-scale ranking models that power Microsoft Advertising, generating billions of impressions and revenue-critical decisions daily. You will combine deep machine learning expertise, solid engineering execution, and business intuition to modernize our prediction stack, drive model innovation, and mentor a growing team of scientists and engineers. This role is ideal for someone who thrives in complex, high-scale systems, who brings thought leadership to ML strategy, and who raises the bar for engineering rigor, curiosity, and business-driven decision making across the team.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead the end-to-end development of large-scale CTR and other user response signal models for Search and Display ads.</li>\n<li>Design, prototype, and ship cutting-edge ML architectures (deep models, multi-task, transformer-based, LLM-assisted, multimodal).</li>\n<li>Define long-term modeling strategy and roadmap with clear business impact.</li>\n</ul>\n<p>Technical &amp; Engineering Execution:</p>\n<ul>\n<li>Modernize our current modeling pipelines, addressing critical technical debt in data flows, training pipelines, and inference systems.</li>\n<li>Partner closely with engineering teams to improve reliability, monitoring, and performance of distributed training and online serving.</li>\n<li>Introduce best practices for experiment design, ablations, feature validation, and productionization.</li>\n</ul>\n<p>Business &amp; Product Impact:</p>\n<ul>\n<li>Work with PMs, monetization teams, and auction experts to translate business needs into modeling goals.</li>\n<li>Own model performance holistically: quality, stability, latency, and revenue impact.</li>\n<li>Develop frameworks to better understand advertiser value, user behavior, and marketplace dynamics.</li>\n</ul>\n<p>Leadership &amp; Mentorship:</p>\n<ul>\n<li>Mentor and up-level applied scientists and ML engineers across the organization.</li>\n<li>Drive a culture of curiosity, deep system understanding, and high-quality scientific reasoning.</li>\n<li>Improve collaboration norms, documentation quality, and cross-team alignment.</li>\n</ul>\n<p>Innovation &amp; Tooling:</p>\n<ul>\n<li>Leverage and influence LLM-based tooling (e.g., agents, copilots) to improve team productivity and model development velocity.</li>\n<li>Identify opportunities to incorporate new modeling signals, architectures, or evaluation metrics.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.</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_b2f91c0a-0b3","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/principal-applied-scientist-10/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$139,900 – $274,800 per year","x-skills-required":["Machine Learning","Deep Learning","Statistics","Econometrics","Computer Science","Electrical or Computer Engineering"],"x-skills-preferred":["LLM-based tooling","Experiment design","Ablations","Feature validation","Productionization"],"datePosted":"2026-03-08T22:15:19.795Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Deep Learning, Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, LLM-based tooling, Experiment design, Ablations, Feature validation, Productionization","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139900,"maxValue":274800,"unitText":"YEAR"}}}]}