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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"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f5e6e615-f4f"},"title":"Principal Applied Scientist","description":"<p><strong>Summary</strong></p>\n<p>Microsoft are looking for a talented Principal Applied Scientist at their Bengaluru office. 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This role sits at the heart of advanced AI at web scale, shaping the future of key systems within Microsoft Ads, Copilot, and beyond. You&#39;ll work directly with leadership to deliver scalable solutions that enhance ad relevance and optimize user and advertiser experiences.</p>\n<p><strong>About the Role</strong></p>\n<p>In this role, the Principal Applied Scientist will design and implement state-of-the-art machine learning models and algorithms that power key systems within Microsoft Ads, Copilot, and beyond. The work will directly impact millions of users and advertisers by delivering scalable solutions that enhance ad relevance and optimize user and advertiser experiences.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot.</li>\n<li>Design scalable algorithms for online and offline systems, delivering innovative solutions for ads selection, ad generation and ad relevance.</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>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><strong>Technical skills:</strong></p>\n<ul>\n<li>Proven experience in programming and data analysis skills.</li>\n<li>Proven expertise in the areas of Generative AI, deep learning, Reinforcement learning, transformers or LLM.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>6+ years of experience in developing and deploying large-scale machine learning models.</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</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_d8710a49-05d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-applied-scientist-17/","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","statistics","econometrics","computer science","electrical or computer engineering"],"x-skills-preferred":["generative AI","deep learning","reinforcement learning","transformers","LLM"],"datePosted":"2026-03-06T07:33:03.226Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, statistics, econometrics, computer science, electrical or computer engineering, generative AI, deep learning, reinforcement learning, transformers, LLM","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139900,"maxValue":274800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_066d45bf-f6e"},"title":"Principal Applied Scientist","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Principal Applied Scientist at their Mountain View office. This role sits at the heart of advanced AI at web scale, shaping the future of key systems within Microsoft Ads, Copilot, and beyond. You&#39;ll work directly with leadership to deliver scalable solutions that enhance ad relevance and optimize user and advertiser experiences.</p>\n<p><strong>About the Role</strong></p>\n<p>In this role, the Principal Applied Scientist will design and implement state-of-the-art machine learning models and algorithms that power key systems within Microsoft Ads, Copilot, and beyond. The work will directly impact millions of users and advertisers by delivering scalable solutions that enhance ad relevance and optimize user and advertiser experiences.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot.</li>\n<li>Design scalable algorithms for online and offline systems, delivering innovative solutions for ads selection, ad generation and ad relevance.</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>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><strong>Technical skills:</strong></p>\n<ul>\n<li>Proven experience in programming and data analysis skills.</li>\n<li>Proven expertise in the areas of Generative AI, deep learning, Reinforcement learning, transformers or LLM.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Proven experience in developing and deploying large-scale machine learning models.</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</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_066d45bf-f6e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-applied-scientist-16/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$139,900 – $274,800 per year","x-skills-required":["machine learning","statistics","econometrics","computer science","electrical or computer engineering"],"x-skills-preferred":["generative AI","deep learning","reinforcement learning","transformers","LLM"],"datePosted":"2026-03-06T07:32:49.983Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, statistics, econometrics, computer science, electrical or computer engineering, generative AI, deep learning, reinforcement learning, transformers, LLM","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139900,"maxValue":274800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_142c12c6-555"},"title":"Principal Applied Scientist","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Principal Applied Scientist at their Redmond office. This role sits at the heart of scientific and technical strategy for data-driven attribution and causal measurement across advertising systems. You will help define the future of data-driven attribution and causal measurement, shaping the methodologies that determine how value is estimated and optimized across the ecosystem.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Principal Applied Scientist, you will help define the scientific and technical strategy for data-driven attribution (DDA) and causal measurement across advertising systems. You will establish methodologies for incrementality estimation, counterfactual learning, delayed-feedback modeling, and bias correction in environments with partial observability. You will lead the design and production adoption of attribution and causal inference frameworks that improve bidding, ranking, optimization, and advertiser ROI at web scale. You will set evaluation standards that distinguish correlation from causation and elevate experimental rigor across teams. You will identify capability gaps and introduce advanced research, tools, or modeling approaches to strengthen measurement foundations. You will operate across organizational boundaries to align research, engineering, product, and business leaders on measurement strategy.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Define and drive the scientific and technical strategy for data-driven attribution (DDA) and causal measurement across advertising systems.</li>\n<li>Establish methodologies for incrementality estimation, counterfactual learning, delayed-feedback modeling, and bias correction in environments with partial observability.</li>\n<li>Lead the design and production adoption of attribution and causal inference frameworks that improve bidding, ranking, optimization, and advertiser ROI at web scale.</li>\n<li>Set evaluation standards that distinguish correlation from causation and elevate experimental rigor across teams.</li>\n<li>Identify capability gaps and introduce advanced research, tools, or modeling approaches to strengthen measurement foundations.</li>\n<li>Operate across organizational boundaries to align research, engineering, product, and business leaders on measurement strategy.</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>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><strong>Technical skills:</strong></p>\n<ul>\n<li>Recognized expertise in attribution, incrementality, marketplace experimentation, or causal ML.</li>\n<li>Track record of driving multi-year research or modeling agendas that materially improved product outcomes.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Strong analytical and problem-solving skills.</li>\n<li>Excellent communication and collaboration skills.</li>\n<li>Ability to work in a fast-paced environment and prioritize multiple tasks.</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</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_142c12c6-555","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-applied-scientist-18/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Competitive salary","x-skills-required":["Statistics","Econometrics","Computer Science","Electrical or Computer Engineering","Predictive Analytics","Research"],"x-skills-preferred":["Attribution","Incrementality","Marketplace Experimentation","Causal ML"],"datePosted":"2026-03-06T07:32:08.322Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, Predictive Analytics, Research, Attribution, Incrementality, Marketplace Experimentation, Causal ML"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3fe213ad-1b0"},"title":"Principal Applied Scientist","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Principal Applied Scientist at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising AI-powered quality understanding and recommendation systems.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Principal Applied Scientist, you&#39;ll lead the science behind Discover&#39;s ranking and content-quality stack, combining LLMs, multimodal models, and large-scale recommender systems to drive measurable gains in engagement, satisfaction, and trust. 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This role sits at the heart of advanced AI at web scale, shaping the future of key systems within Microsoft Ads, Copilot, and beyond. You&#39;ll design and implement state-of-the-art machine learning models and algorithms that power scalable solutions that enhance ad relevance and optimize user and advertiser experiences.</p>\n<p><strong>About the Role</strong></p>\n<p>In this role, you will develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot. You will design scalable algorithms for online and offline systems, delivering innovative solutions for ads selection, ad generation and ad relevance. You will drive experimentation through A/B testing and offline validation to evaluate model performance and refine user behavior predictions. You will build robust data pipelines and frameworks for handling large-scale, high-dimensional datasets to support advanced AI applications. You will stay at the forefront of AI research, incorporating the latest advancements to drive innovation and impact across Microsoft platforms.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot.</li>\n<li>Design scalable algorithms for online and offline systems, delivering innovative solutions for ads selection, ad generation and ad relevance.</li>\n<li>Drive experimentation through A/B testing and offline validation to evaluate model performance and refine user behavior predictions.</li>\n<li>Build robust data pipelines and frameworks for handling large-scale, high-dimensional datasets to support advanced AI applications.</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>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><strong>Technical skills:</strong></p>\n<ul>\n<li>Proven experience in programming and data analysis skills.</li>\n<li>Proven expertise in the areas of Generative AI, deep learning, Reinforcement learning, transformers or LLM.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Strong problem-solving skills and ability to work independently.</li>\n<li>Excellent communication and collaboration skills.</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</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_9c3ddd52-017","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-applied-scientist-15/","x-work-arrangement":"onsite","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","reinforcement learning","transformers","LLM","programming","data analysis"],"x-skills-preferred":["Generative AI","A/B testing","offline validation","data pipelines","frameworks"],"datePosted":"2026-03-06T07:31:51.153Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, deep learning, reinforcement learning, transformers, LLM, programming, data analysis, Generative AI, A/B testing, offline validation, data pipelines, frameworks","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139900,"maxValue":274800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_146f30de-73a"},"title":"Principal Applied Scientist","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Principal Applied Scientist at their Beijing office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising the field of AI. You&#39;ll work directly with leadership to shape the company&#39;s direction in the AI market.</p>\n<p><strong>About the Role</strong></p>\n<p>We are seeking an Applied Scientist / AI Architect with strong hands-on experience in building and optimizing large language models (LLMs), agentic AI systems, and end-to-end model training workflows. This role is ideal for scientists with a solid applied background who can translate state-of-the-art research into real-world impact. A research-oriented mindset with publications in top AI/ML venues is highly preferred but not strictly required.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Design and implement advanced LLM-based architectures and agentic systems for real-world product scenarios.</li>\n<li>Translate research breakthroughs into production-ready algorithms, contributing to core capabilities such as reasoning, planning, long-term memory, code-gen based design.</li>\n<li>Monitor and improve model performance post-deployment through data-driven iteration and error analysis.</li>\n<li>Collaborate across teams to deliver robust, scalable models aligned with product objectives and user value.</li>\n<li>Contribute to the organization’s scientific direction by identifying research opportunities that drive long-term differentiation.</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>M.S. or Ph.D. in Computer Science, Machine Learning, or a related field, or equivalent practical experience.</li>\n<li>5+ years of experience in applied machine learning, with a focus on LLMs, agent systems, or reinforcement learning.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Strong hands-on experience with prompt engineering, context engineering, retrieval-augmented generation (RAG), tool use, planning agents, and long-context modeling, etc.</li>\n<li>Familiarity with model training pipelines using PyTorch, TensorFlow, JAX, or similar frameworks, evaluation strategies, and model deployment best practices.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Strong coding and debugging skills, and comfort working in cross-functional, agile environments.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and benefits package.</li>\n<li>Opportunities for professional growth and development.</li>\n<li>Collaborative and dynamic work environment.</li>\n<li>Access to cutting-edge technology and resources.</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_146f30de-73a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-applied-scientist-12/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Competitive salary and benefits package","x-skills-required":["Applied machine learning","LLMs","Agent systems","Reinforcement learning","PyTorch","TensorFlow","JAX"],"x-skills-preferred":["Prompt engineering","Context engineering","RAG","Tool use","Planning agents","Long-context modeling"],"datePosted":"2026-03-06T07:30:14.499Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Beijing, China"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Applied machine learning, LLMs, Agent systems, Reinforcement learning, PyTorch, TensorFlow, JAX, Prompt engineering, Context engineering, RAG, Tool use, Planning agents, Long-context modeling"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ac1f9f62-569"},"title":"Principal Applied Scientist","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Principal Applied Scientist at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising haptic entertainment technology. You&#39;ll work directly with leadership to shape the company&#39;s direction in the cinema and simulation markets.</p>\n<p><strong>About the Role</strong></p>\n<p>We seek a Principal Applied Scientist with expertise in Machine Learning, Generative AI, Agentic Modeling, Data Science, or related areas. The ideal candidate should be passionate about generative modeling, experimental prompt tuning, and large-scale modeling optimization. The candidate should have hands-on experience on working with LLMs, or SLMs such as Qwen, Llama or its variants.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Building and owning production machine learning models to improve results.</li>\n<li>Working hands on with SOTA generative models like Qwen, Llama, Mistral, GPT and others, to deliver big impact.</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>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><strong>Technical skills:</strong></p>\n<ul>\n<li>Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Ability to work in a fast-paced environment and adapt to changing priorities.</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</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_ac1f9f62-569","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-applied-scientist-13/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$139,900 – $274,800 per year","x-skills-required":["Machine Learning","Generative AI","Agentic Modeling","Data Science"],"x-skills-preferred":["Python","C#","R","C++","Java","SQL"],"datePosted":"2026-03-06T07:27:55.881Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Generative AI, Agentic Modeling, Data Science, Python, C#, R, C++, Java, SQL","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139900,"maxValue":274800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ff5ec894-29f"},"title":"Principal Applied Scientist","description":"<p><strong>Summary</strong></p>\n<p>Microsoft are looking for a talented Principal Applied Scientist at their Mountain View office. This role sits at the heart of 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.</p>\n<p><strong>About the Role</strong></p>\n<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><strong>Accountabilities</strong></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</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></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><strong>Technical skills:</strong></p>\n<ul>\n<li>5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).</li>\n<li>2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.</li>\n<li>5+ years experience conducting research as part of a research program (in academic or industry settings).</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>3+ years experience developing and deploying live production systems, as part of a product team.</li>\n<li>3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.</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</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_ff5ec894-29f","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-11/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$139,900 - $274,800 per year","x-skills-required":["Machine Learning","Statistics","Econometrics","Computer Science","Electrical or Computer Engineering"],"x-skills-preferred":["Deep Learning","Natural Language Processing","Computer Vision"],"datePosted":"2026-03-06T07:27:54.895Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, Deep Learning, Natural Language Processing, Computer Vision","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139900,"maxValue":274800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8672228f-4df"},"title":"Principal Applied Scientist","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Principal Applied Scientist at their Sunnyvale office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising the advertising marketplace. You&#39;ll work directly with leadership to shape the company&#39;s direction in the development of large-scale learning systems that infer intent and causal effects from incomplete and noisy feedback.</p>\n<p><strong>About the Role</strong></p>\n<p>Our Signals Modeling team builds the intelligence that powers how the advertising marketplace understands user behavior, measures impact and optimizes outcomes from initial impressions through downstream conversions and long-term advertiser value. We develop large-scale learning systems that infer intent and causal effects from incomplete and noisy feedback, enabling principled decision-making across ranking, bidding, pricing, and budget allocation. Our work sits at the foundation of marketplace optimization, where accurate attribution and measurement directly influence billions in advertising spend. The team designs and operates state-of-the-art modeling platforms spanning representation learning, weak-supervision, multi-objective training, calibration, and rigorous experimentation. We transform sparse engagement signals into reliable learning targets and build models that remain robust under delayed conversions, selection bias, and rapidly shifting marketplace dynamics.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Define and drive the scientific and technical strategy for data-driven attribution (DDA) and causal measurement across advertising systems.</li>\n<li>Establish methodologies for incrementality estimation, counterfactual learning, delayed-feedback modeling, and bias correction in environments with partial observability.</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>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><strong>Technical skills:</strong></p>\n<ul>\n<li>Recognized expertise in attribution, incrementality, marketplace experimentation, or causal ML.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Track record of driving multi-year research or modeling agendas that materially improved product outcomes.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and benefits package.</li>\n<li>Opportunities for professional growth and development.</li>\n<li>Collaborative and dynamic work environment.</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_8672228f-4df","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-applied-scientist-19/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Competitive salary and benefits package.","x-skills-required":["Statistics","Econometrics","Computer Science","Electrical or Computer Engineering","Machine Learning","Data Science","Predictive Analytics","Research"],"x-skills-preferred":["Attribution","Incrementality","Marketplace Experimentation","Causal ML"],"datePosted":"2026-03-06T07:27:51.396Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, Machine Learning, Data Science, Predictive Analytics, Research, Attribution, Incrementality, Marketplace Experimentation, Causal ML"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d5e4dec3-129"},"title":"Principal Applied Scientist","description":"<p><strong>Summary</strong></p>\n<p>Microsoft are looking for a talented Principal Applied Scientist at their Bengaluru office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising the advertising ecosystem. You&#39;ll work directly with leadership to shape the company&#39;s direction in the threat modelling and adversarial defence space.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Principal Applied Scientist, you will be responsible for developing and maintaining comprehensive adversarial frameworks to map the lifecycle of emerging threats, from account compromise (ATO) to malicious payload delivery. You will also advance the continuous, signal-based security protocol and research and implement behavioral biometrics and Proof of Liveness models to detect synthetic identities and coordinated fraud rings.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Develop and maintain comprehensive adversarial frameworks to map the lifecycle of emerging threats, from account compromise (ATO) to malicious payload delivery.</li>\n<li>Advance the continuous, signal-based security protocol.</li>\n<li>Research and implement behavioral biometrics and Proof of Liveness models to detect synthetic identities and coordinated fraud rings.</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>Bachelor&#39;s, Master&#39;s, or PhD degree in Computer Science, Cybersecurity, Mathematics, or a related field, with 10+ years of related experience.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Deep technical expertise in Cybersecurity, Anti-Abuse, or Adversarial Machine Learning.</li>\n<li>Strong programming skills in C++ or Python (at least one is required), with experience in building production-quality security or ML systems.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Strong communication and collaboration skills, with experience articulating complex security risks to business and product leadership.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and benefits package.</li>\n<li>Opportunities for professional growth and development.</li>\n<li>Collaborative and dynamic work environment.</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_d5e4dec3-129","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-9/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Competitive salary and benefits package","x-skills-required":["Cybersecurity","Anti-Abuse","Adversarial Machine Learning","C++","Python"],"x-skills-preferred":["Graph Neural Networks","Fraud ring detection","Behavioral biometrics"],"datePosted":"2026-03-06T07:26:33.904Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Cybersecurity, Anti-Abuse, Adversarial Machine Learning, C++, Python, Graph Neural Networks, Fraud ring detection, Behavioral biometrics"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_05ee2dc4-b1b"},"title":"Principal Applied Scientist","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Principal Applied Scientist at their Hyderabad office. This role sits at the heart of shaping and improving sports experiences on Bing. You will own end-to-end outcomes: turn ambiguous product questions into measurable hypotheses, define success metrics, design experiments, and ship data-driven ML solutions that move customer and business KPIs.</p>\n<p><strong>About the Role</strong></p>\n<p>We are seeking an experienced, self-directed Principal Applied Data Scientist to shape and improve sports experiences on Bing. In this individual contributor role, you will own end-to-end outcomes: turn ambiguous product questions into measurable hypotheses, define success metrics, design experiments, and ship data-driven ML solutions that move customer and business KPIs. You will apply modern NLP/IR and multimodal methods—including training and adapting Large Language Models (LLMs) and Small Language Models (SLMs)—to deliver accurate, fresh, and helpful sports answers and discovery experiences at global scale.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Define north-star metrics and guardrails; build measurement plans, offline scorecards, and online A/B tests; interpret results and drive clear ship/iterate decisions.</li>\n<li>Build, train, and adapt LLM/SLM solutions for sports scenarios (prompting, supervised fine-tuning, distillation, and domain adaptation), using disciplined evaluation and error analysis to improve quality, latency, and cost.</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>6+ years related experience (e.g., statistics, predictive analytics, research).</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Proficiency in Python (and one of C++/C#/Java preferred) and deep learning frameworks (e.g., PyTorch, TensorFlow); experience with distributed training/inference is a plus.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Demonstrated ability to lead through influence as a senior IC: independently define strategy, drive execution across teams, and deliver measurable impact.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Starting January 26, 2026, Microsoft AI employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week.</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_05ee2dc4-b1b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-applied-scientist-8/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["statistics","predictive analytics","research","Python","deep learning frameworks","distributed training/inference"],"x-skills-preferred":["publications","patents","open-source contributions"],"datePosted":"2026-03-06T07:25:38.317Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"statistics, predictive analytics, research, Python, deep learning frameworks, distributed training/inference, publications, patents, open-source contributions"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6b47ab3c-965"},"title":"Principal Applied Scientist","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Principal Applied Scientist at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising AI-powered quality understanding and recommendation systems.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Principal Applied Scientist, you&#39;ll lead the science behind Discover&#39;s ranking and content-quality stack, combining LLMs, multimodal models, and large-scale recommender systems to drive measurable gains in engagement, satisfaction, and trust. You will set technical direction, mentor a high-caliber science cohort, and partner closely with engineering, PM, UXR, and policy to ship end-to-end outcomes.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Lead content-quality understanding at scale.</li>\n<li>Advance the recommendation &amp; ranking stack.</li>\n<li>Own evaluation and experimentation.</li>\n<li>Champion safety &amp; trust.</li>\n<li>Scale E2E ML systems.</li>\n<li>Mentor &amp; influence.</li>\n<li>Stay close to users.</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>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><strong>Technical skills:</strong></p>\n<ul>\n<li>Expertise with LLMs (prompting, finetuning, RAG), multimodal modeling, and retrieval-augmented recommendation; familiarity with counterfactual learning and multi-objective optimization.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Demonstrated ability to lead cross-disciplinary efforts (PM, ENG, UXR, editorial/policy) from idea to shipped impact; mentoring scientists and setting technical vision.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and benefits package.</li>\n<li>Opportunities for professional growth and development.</li>\n<li>Collaborative and dynamic work environment.</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_6b47ab3c-965","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-applied-scientist-5/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Competitive salary and benefits package","x-skills-required":["LLMs","multimodal modeling","retrieval-augmented recommendation","counterfactual learning","multi-objective optimization"],"x-skills-preferred":["Python","Azure ML","Kusto","Synapse","Azure AI Foundry"],"datePosted":"2026-03-06T07:25:18.741Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"LLMs, multimodal modeling, retrieval-augmented recommendation, counterfactual learning, multi-objective optimization, Python, Azure ML, Kusto, Synapse, Azure AI Foundry"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c5963b64-f4c"},"title":"Principal Applied Scientist","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Principal Applied Scientist at their Mountain View office. 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This role sits at the heart of strategic decision-making, transforming complex data into actionable insights for a company that&#39;s revolutionising the field of artificial intelligence. You&#39;ll work directly with leadership to shape the company&#39;s direction in the development of large-scale, Azure-based intelligence platforms.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Principal Applied Scientist, you will define scientific vision and lead the development of both ML and LLM components. This includes designing robust models, driving experimentation, ensuring statistical rigor, and guiding the platform&#39;s evolution toward greater automation, accuracy, and scalability. You will partner closely with engineering and product teams to translate research into reliable production systems, influence long-term strategy, and deliver intelligence that enables smarter, faster, and more informed decisions.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Define and drive the modeling strategy for the advertising recommendations platform, spanning classical machine learning (for analytics on structured data) and the use of generative AI.</li>\n<li>Architect end-to-end machine learning pipelines – oversee the design of data processing workflows, feature stores, model training/validation routines, and deployment mechanisms that can reliably produce daily insights for all customers.</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>6+ years related experience (e.g., statistics, predictive analytics, research) in a field such as statistics, econometrics, computer science, electrical or computer engineering, or a related field.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Extensive hands-on expertise in ML techniques for predictive analytics, pattern recognition, and optimization.</li>\n<li>5+ years of experience with developing and deploying machine learning solutions in production, with proven ownership of complex projects end-to-end (from problem formulation and data acquisition to model deployment and monitoring).</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Strong leadership and technical skills, with the ability to mentor and develop the applied science team.</li>\n<li>Excellent communication and collaboration skills, with the ability to work effectively with cross-discipline teams.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and benefits package.</li>\n<li>Opportunities for professional growth and development.</li>\n<li>Collaborative and dynamic work environment.</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_b75c2ed4-d29","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-applied-scientist-4/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["machine learning","artificial intelligence","data science","statistics","econometrics"],"x-skills-preferred":["natural language processing","computer vision","deep learning"],"datePosted":"2026-03-06T07:23:46.768Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, artificial intelligence, data science, statistics, econometrics, natural language processing, computer vision, deep learning"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6ae21016-caf"},"title":"Principal Applied Scientist","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a highly skilled and experienced Principal Applied Scientist to join their Metrics &amp; evaluation team in Microsoft AI org. This individual will play a pivotal role in defining the direction of our search engine for the upcoming years.</p>\n<p><strong>About the Role</strong></p>\n<p>We are seeking a highly skilled and experienced Principal Applied Scientist to join our Metrics &amp; evaluation team in Microsoft AI org. This individual will play a pivotal role in defining the direction of our search engine for the upcoming years. The ideal candidate will have a strong expertise in statistics and a proven track record of leveraging data to drive business decisions.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Lead the development and implementation of advanced statistical models and algorithms to analyse complex data sets.</li>\n<li>Collaborate with cross-functional teams to define key metrics and KPIs that align with our product goals.</li>\n<li>Provide strategic insights and recommendations based on data analysis to influence product direction and business strategies.</li>\n<li>Uphold data engineering and data science best practices new methodologies, technologies, industry trends and open sources.</li>\n<li>Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.</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>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).</li>\n<li>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).</li>\n<li>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).</li>\n<li>OR equivalent experience.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Proficiency in programming languages such as Python, R, or SQL.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Strong problem-solving skills and the ability to think critically and analytically.</li>\n<li>Excellent communication and presentation skills, with the ability to convey complex concepts to the stakeholders and manage expectations with them.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Work arrangements (remote, hybrid, office-based).</li>\n<li>Health and wellbeing benefits.</li>\n<li>Professional development opportunities.</li>\n<li>Financial benefits (bonus, equity, pension, etc.).</li>\n<li>Cultural perks (team events, office amenities, etc.).</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_6ae21016-caf","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-applied-scientist/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["statistics","predictive analytics","data science","machine learning","data engineering"],"x-skills-preferred":["research","publication","presentation","problem-solving","communication"],"datePosted":"2026-03-06T07:22:11.415Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"statistics, predictive analytics, data science, machine learning, data engineering, research, publication, presentation, problem-solving, communication"}]}