The Core Recommendation Ranking team in Microsoft AI Content Org powers the end-to-end ranking and reranking stack behind Microsoft’s content experiences , including news, interest, video, and AI-generated content (AIGC) feeds, reaching hundreds of millions of users worldwide.
\nWe are at the forefront of integrating Generative AI and agentic systems into large-scale recommendation pipelines. We are seeking a Senior Applied Scientist to design, build, and optimize ranking and recommendation models that directly impact user engagement across Microsoft’s content ecosystem.
\nIn this role, you will work hands-on with cutting-edge deep learning and LLM-enhanced ranking systems while collaborating closely with engineering and product partners to deliver production-quality solutions at scale.
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nDesign & implement ranking, reranking, and retrieval models using deep learning, LLMs, and advanced recommendation techniques.
\nOwn end-to-end ML pipelines , feature engineering, model training, offline/online evaluation, and production inference optimization.
\nInnovate by applying state-of-the-art methods including LLM-enhanced ranking, contextual bandits, reinforcement learning, and generative recommendation approaches.
\nCollaborate cross-functionally with engineering, product, and platform teams to translate research insights into shipped features.
\nContribute to technical direction within the team , propose experiments, identify opportunities, and drive projects from ideation to production.
\nMentor less experienced scientists and engineers, fostering a culture of technical excellence and knowledge sharing.
\nXML job scraping automation by YubHub
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\nWe are at the forefront of integrating Generative AI and agentic systems into large-scale recommendation pipelines. We are seeking a Senior Applied Scientist to design, build, and optimize ranking and recommendation models that directly impact user engagement across Microsoft’s content ecosystem.
\nIn this role, you will work hands-on with cutting-edge deep learning and LLM-enhanced ranking systems while collaborating closely with engineering and product partners to deliver production-quality solutions at scale.
\nResponsibilities:
\nQualifications:
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\nDevelop 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. Design scalable algorithms for online and offline systems, delivering innovative solutions for content selection, user engagement modeling, and ad generation. Drive experimentation through A/B testing and offline validation to evaluate model performance and refine user behavior predictions. Build robust data pipelines and frameworks for handling large-scale, high-dimensional datasets to support advanced AI applications. Stay at the forefront of AI research, incorporating the latest advancements to drive innovation and impact across Microsoft platforms.
\nMicrosoft is innovating rapidly in the advertising space to grow its share of this market by providing the ad industry with the state-of-the-art online advertising platform and service and Microsoft’s advertising team is at the core of this effort. In this role, the Senior Applied Scientist will design and implement state-of-the-art machine learning models and algorithms that power key systems within Microsoft Ads, Microsoft Audience Network, Copilot, and beyond. Your work will directly impact millions of users and advertisers by delivering scalable solutions that enhance ad relevance and optimize user experiences.
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\nWe are at the forefront of integrating Generative AI and agentic systems into large-scale recommendation pipelines. We are seeking a Senior Applied Scientist to design, build, and optimize ranking and recommendation models that directly impact user engagement across Microsoft’s content ecosystem.
\nIn this role, you will work hands-on with cutting-edge deep learning and LLM-enhanced ranking systems while collaborating closely with engineering and product partners to deliver production-quality solutions at scale.
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nResponsibilities:
\nQualifications:
\n#MicrosoftAI Applied Sciences IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.
\nThis position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
\nXML job scraping automation by YubHub
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