We're building the next-generation Grounding Service that powers the latest AI applications—chat assistants, copilots, and autonomous agents—with factual, cited, and trustworthy responses. Our platform stitches together retrieval, reasoning, and real-time data so that large language models stay anchored to enterprise knowledge, the public web, and proprietary tools.
\nWe're looking for a Senior Applied Scientist to lead end-to-end science for grounding: inventing retrieval and attribution methods, defining factuality/faithfulness metrics, and shipping production models and APIs that scale to billions of queries. You'll partner closely with engineering, product, research, and customers to deliver fast, reliable, and explainable answers with source citations across a diverse set of domains and modalities.
\nAs a team, we value curiosity, pragmatic rigor, and inclusive collaboration. We believe great systems emerge when scientists and engineers co-design metrics, models, and infrastructure—and when we obsess over customer impact, privacy, and safety.
\nResponsibilities\n Owns the science roadmap for grounding—including retrieval, re-ranking, attribution, and reasoning—driving initiatives from problem framing to production impact.\n Designs and evolves state-of-the-art retrieval and RAG orchestration across documents, tables, code, and images.\n Builds citation and provenance systems (e.g., passage highlighting, quote-level alignment, confidence scoring) to reduce hallucinations and increase user trust.\n Leads experimentation and evaluation using A/B testing, interleaving, NDCG, MRR, precision/recall, and calibration curves to guide measurable trade-offs.\n Advances tool-augmented grounding through schema-aware retrieval, function calling, knowledge graph joins, and real-time connectors to databases, cloud object stores, search indexes, and the web.\n Partners with platform engineering to productionize models with scalable inference, embedding services, feature stores, caching, and privacy-compliant multi-tenant systems.\n Nurtures collaborative relationships with product and business leaders across Microsoft, influencing strategic decisions and driving business impact through technology.\n Authors white papers, contributes to internal tools and services, and may publish research to generate intellectual property.\n Bridges the gap between researchers (e.g., Microsoft Research) and development teams, applying long-term research to solve immediate product needs.\n Leads high-stakes negotiations to ensure cutting-edge technologies are applied practically and effectively.\n Identifies and solves significant business problems using novel, scalable, and data-driven solutions.\n Shapes the direction of Microsoft and the broader industry through pioneering product and tooling work.\n Mentors applied scientists and data scientists, establishing best practices in experimentation, error analysis, and incident review.\n Collaborates cross-functionally with PMs, research, infrastructure, and security teams to align on milestones, SLAs, and safety protocols.\n Communicates clearly through design documentation, progress updates, and presentations to executives and customers.\n Contributes to ethics and privacy policies, identifies bias in product development, and proposes mitigation strategies.
\nQualifications\n Required Qualifications:\n Bachelor’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)\n OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)\n OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)\n OR equivalent experience.\n Minimum of 4 years of hands-on experience designing and building search, retrieval, or ranking systems.\n Proven track record of shipping LLM-powered or Retrieval-Augmented Generation (RAG) systems into production environments.\n Solid coding skills and solid foundation in machine learning, with the ability to implement and optimize models effectively.\n Demonstrated ability to lead through ambiguity, make principled trade-offs, and deliver measurable impact in cross-functional, fast-paced settings.\n Preferred Qualifications:\n Master’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)\n 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)\n OR equivalent experience.\n Demonstrated expertise in information retrieval, with publications in top-tier conferences or journals such as NeurIPS, ICML, ICLR, SIGIR, or ACL.\n Hands-on experience in large language model (LLM) development, including pretraining, supervised fine-tuning (SFT), and reinforcement learning (RL).\n Proven track record in optimizing LLM inference, or active contributions to open-source frameworks like vLLM, SGLang, or related projects.
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\nResponsibilities
\nQualifications
\nPreferred Qualifications
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\nResponsibilities:
\nPioneer research and stay up-to-date with the latest advancements in AIGC and VLM, applying SOTA technologies and frameworks to enhance the quality and performance of ad content generation.
\nOptimize and scale high-performance, large-volume systems to reliably handle massive datasets and ensure high throughput.
\nLead the data collection, model training, evaluation, and deployment of advanced image processing and generation algorithms.
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\nCollaborate effectively with cross-functional teams (e.g., product manager, engineering, research) to deliver high-quality, end-to-end solutions.
\nQualifications:
\nBachelor’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 Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
\n4+ years of industry experience with a focus on computer vision, image/video generation and editing.
\nDemonstrated leadership or significant contributions to the design, data, training of advanced AIGC models (e.g. diffusion/AR models and distillation, VAEs etc.).
\nExcellent design and problem-solving skills, with a proven ability to translate ambiguous problems into clear, implementable solutions.
\nProactive communication skills, with the ability to collaborate effectively across algo, product, and engineer teams.
\nPreferred Qualifications:
\nMaster’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 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.
\n5+ years of industry experience with a focus on computer vision, image/video generation and editing.
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\nOwns the science roadmap for grounding—including retrieval, re-ranking, attribution, and reasoning—driving initiatives from problem framing to production impact. Designs and evolves state-of-the-art retrieval and RAG orchestration across documents, tables, code, and images. Builds citation and provenance systems (e.g., passage highlighting, quote-level alignment, confidence scoring) to reduce hallucinations and increase user trust. Leads experimentation and evaluation using A/B testing, interleaving, NDCG, MRR, precision/recall, and calibration curves to guide measurable trade-offs. Advances tool-augmented grounding through schema-aware retrieval, function calling, knowledge graph joins, and real-time connectors to databases, cloud object stores, search indexes, and the web. Partners with platform engineering to productionize models with scalable inference, embedding services, feature stores, caching, and privacy-compliant multi-tenant systems. Nurtures collaborative relationships with product and business leaders across Microsoft, influencing strategic decisions and driving business impact through technology. Authors white papers, contributes to internal tools and services, and may publish research to generate intellectual property. Bridges the gap between researchers (e.g., Microsoft Research) and development teams, applying long-term research to solve immediate product needs. Leads high-stakes negotiations to ensure cutting-edge technologies are applied practically and effectively. Identifies and solves significant business problems using novel, scalable, and data-driven solutions. Shapes the direction of Microsoft and the broader industry through pioneering product and tooling work. Mentors applied scientists and data scientists, establishing best practices in experimentation, error analysis, and incident review. Collaborates cross-functionally with PMs, research, infrastructure, and security teams to align on milestones, SLAs, and safety protocols. Communicates clearly through design documentation, progress updates, and presentations to executives and customers. Contributes to ethics and privacy policies, identifies bias in product development, and proposes mitigation strategies.
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\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.
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\nResponsibilities\nVisual Intelligence Development: Build and deploy SOTA machine learning models for image classification, object detection, and video action recognition to power Bing’s multimedia features.
\nMultimodal & Generative AI: Lead the development of multimodal embeddings that align text and visual data, and leverage Generative AI (e.g., DALL-E, MAI models) to enhance content creation tools.
\nScale & Optimization: Design robust feature-engineering pipelines to process billions of images and videos, ensuring low-latency inference in production services.
\nStrategic Leadership: Embody Microsoft’s values by Creating Clarity in complex AI problems and Generating Energy across cross-functional teams of engineers and PMs.
\nResponsible AI: Ensure all visual models adhere to strict Security, Privacy, and GDPR standards, specifically focusing on content moderation and bias detection in multimedia.
\nQualifications\nRequired Qualifications: Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ 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 2+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
\nMastery of Python and deep learning frameworks such as PyTorch or TensorFlow. Proven track record in Computer Vision (CV) or Multimedia Understanding, including work with large-scale visual datasets. Experience building and deploying live production systems at scale.
\nPreferred Qualifications: PhD focused on Computer Vision, Video Analytics, or Multimodal Learning. Experience with big data tools like Spark/PySpark and Azure Machine Learning. Publications in top-tier venues such as CVPR, ICCV, or ACM Multimedia.
\nThis position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.
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\nMicrosoft AI are looking for a talented Senior 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's revolutionising AI technologies. You'll work directly with leadership to shape the company's direction in the search and AI innovation markets.
\nAbout the Role
\nWe are looking for a Senior Applied Scientist to lead the transition of news e2e tech stack to new architect tailored for grounding, which can power news search experience across Bing, Copilot and 3rd party customers faster with better quality and capabilities. The successful candidate will design and build scalable, high-performance platform and grounding services for real-time processing of streaming news content and serving user queries with low latency. They will apply AI and machine learning to solve challenging problems in news Index, content understanding, query understanding, trending detection, ranking, and quality improvement for relevance, freshness, and authority, especially for grounding scenario.
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\nAbout the Role
\nWe're looking for passionate and experienced engineers and scientists to help us on our mission of employing deep learning to understand all the data on the web – the largest store of information in human history. With this understanding we power end-user experiences across a variety of NLP/Multi-modal related areas, especially RAG System powered by LLMs Generative answers with LLMs Build up the world-class AI systems with novel NLP techniques and engineering excellence. Explore cutting-edge AI technology and deliver both research and production impact.
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\nAbout the Role
\nAs a Senior Applied Scientist, you will design and implement highly scalable, low-latency, always-on services that power Bing search. You will quickly ramp up on diverse components, understand their design and functionality, and deliver impactful features. You will influence architecture and design decisions across teams, driving best practices and common patterns. You will collaborate effectively with multiple teams, demonstrating solid partnership and communication skills.
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\nMicrosoft are looking for a talented Senior 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's revolutionising artificial intelligence technology. You'll work directly with leadership to shape the company's direction in the technology market.
\nAbout the Role
\nAs a Senior Applied Scientist, you will design and implement cutting-edge machine learning models and algorithms that power relevance systems across all surfaces for Microsoft Ads and Shopping including Bing, Copilot, and beyond. You will have a direct impact on millions of users and advertisers, delivering scalable solutions to enhance ad relevance and optimize user experiences.
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\nMicrosoft AI are looking for a talented Senior 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's revolutionising artificial intelligence technology. You'll work directly with leadership to shape the company's direction in the AI and machine learning markets.
\nAbout the Role
\nAs a Senior Applied Scientist, you will design and implement cutting-edge machine learning models and algorithms that power relevance systems across all surfaces for Microsoft Ads and Shopping including Bing, Copilot, and beyond. You will have a direct impact on millions of users and advertisers, delivering scalable solutions to enhance ad relevance and optimize user experiences. This role is part of Microsoft Artificial Intelligence (MAI)-Ads Engineering and is responsible for the end-to-end relevance problem for our ads and shopping products.
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\nMicrosoft are looking for a talented Senior Applied Scientist at their Suzhou office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the AI and cloud computing space. You'll work directly with leadership to shape the company's direction in the global market.
\nAbout the Role
\nAs a Senior Applied Scientist focusing on recommender systems, you will play an important role in contributing to the development and optimization of our online services and offline pipelines within our content ecosystem to achieve product and business growth goals. Your primary responsibilities will include algorithm development and enhancement for ranking algorithms in News & Feeds, working with cross-functional teams to design, develop, and implement recommendation algorithms to deliver product features and drive user engagement.
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\nMicrosoft are looking for a talented Senior 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's revolutionising the AI and machine learning space. You'll work directly with leadership to shape the company's direction in the content and recommendation systems markets.
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\nAs a Senior Applied Scientist focusing on recommender systems, you will play an important role in contributing to the development and optimization of our online services and offline pipelines within our content ecosystem to achieve product and business growth goals. Your primary responsibilities will include:
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\nMicrosoft AI are looking for a talented Senior Applied Scientist at their Redmond office. This role sits at the heart of strategic decision-making, transforming complex data into actionable insights for a company that's revolutionising the technology industry. You'll work directly with leadership to shape the company's direction in the development of large-scale, Azure-based intelligence platforms.
\nAbout the Role
\nAs a Senior Applied Scientist, you will lead the development of machine learning solutions leveraging SOTA technologies in GenAI to build predictive models for generating recommendations, detecting anomalies, generating automated insights with reasoning, and ensuring the platform delivers accurate, actionable intelligence at scale. You will drive experimentation and validation of models, mentor junior scientists, and contribute to model governance and Responsible AI practices.
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\nMicrosoft are looking for a talented Senior 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's revolutionising the advertising technology space. You'll work directly with leadership to shape the company's direction in the online advertising market.
\nAbout the Role
\nIn 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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\nMicrosoft AI are looking for a talented Senior Applied Scientist at their Redmond office. This role sits at the heart of strategic decision-making, transforming complex data into high-quality and rich actionable insights for Microsoft Advertising stakeholders. You'll work directly with leadership to shape the company's direction in the AI and machine learning markets.
\nAbout the Role
\nAs a Senior Applied Scientist, you will lead the development of machine learning solutions leveraging SOTA technologies in GenAI to build predictive models for generating recommendations, detecting anomalies, generating automated insights with reasoning, and ensuring the platform delivers accurate, actionable intelligence at scale. You will drive experimentation and validation of models, mentor junior scientists, and contribute to model governance and Responsible AI practices.
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\nMicrosoft are looking for a talented Senior 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's revolutionising the advertising space. You'll work directly with leadership to shape the company's direction in the online advertising market.
\nAbout the Role
\nIn 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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\nMicrosoft are looking for a talented Senior Applied Scientist at their Suzhou office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the AI and engineering system. You'll work directly with leadership to shape the company's direction in the global Office users market.
\nAbout the Role
\nWe are seeking a highly skilled and motivated Applied Scientist with strong hands-on experience in building and optimizing agentic AI systems. Our mission is to benefit Office users with rich content and tool support to raise productivity, and we are building the AI and engineering system to make it happen. This position offers an exciting opportunity to design and develop highly complex and comprehensive systems combining engineering, AI and human participation. You will work closely with product managers, designers, and users to turn ideas and AI into reality and make a great impact to all global Office users.
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\nThe Candidate we're looking for
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\nMicrosoft AI are looking for a talented Senior 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'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.
\nAbout the Role
\nIn 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.
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\nThe Candidate we're looking for
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\nTechnical skills:
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\nMicrosoft AI are looking for a talented Senior Applied Scientist at their Vancouver 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'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.
\nAbout the Role
\nAs a Senior Applied Scientist, you will be responsible for developing and deploying cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning. 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.
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\nThe Candidate we're looking for
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\nTechnical skills:
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\nMicrosoft are looking for a talented Senior Applied Scientist at their Multiple Locations, Taiwan office. This role sits at the heart of innovations by harnessing the power of generative AI and LLM-driven agents. You'll work directly with leadership to shape the company's direction in the advertising industry.
\nAbout the Role
\nDesign, training/evaluation, development/deployment of AI agents for ads performance optimization and automated customer support. Apply solid problem-solving and data analysis skills to identify opportunities, optimize performance, and deliver measurable business impact. Stay up to date with the latest advancements in generative AI, LLM-driven agent, online advertisement, and make integration and improvement for our systems. Develop scalable and robust algorithms and pipelines for efficient model training, data processing, online serving and measurement. Collaborate with cross-functional teams, such as product managers and Infra/UI engineers, to define strategies and deliver solutions that enhance our systems. Present problems, insights, technical solutions, and results clearly to both technical and non-technical stakeholders.
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\nMicrosoft AI are looking for a talented Senior 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's revolutionising AI search and Copilot experiences responsibly. You'll work directly with leadership to shape the company's direction in the AI and search markets.
\nAbout the Role
\nWe are looking for an Applied Scientist who is excited to work on ML/DL models capable of working on an internet scale. An ideal candidate will have extensive Machine/Deep Learning knowledge with proven track record in solving complex real-world ML/DL problems, specifically in areas related to fairness, or model safety. In addition, the candidate will have expert knowledge of one or more ML/DL frameworks and a deep understanding of the different types of algorithms and their applications with hands-on experience in implementing scalable solutions.
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\nThe Candidate we're looking for
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\nTechnical skills:
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\nMicrosoft are looking for a highly skilled and motivated Applied Scientist with strong hands-on experience in building and optimizing agentic AI systems. Our mission is to benefit Office users with rich content and tool support to raise productivity, and we are building the AI and engineering system to make it happen.
\nAbout the Role
\nWe are seeking a highly skilled and motivated Applied Scientist with strong hands-on experience in building and optimizing agentic AI systems. Our mission is to benefit Office users with rich content and tool support to raise productivity, and we are building the AI and engineering system to make it happen. This position offers an exciting opportunity to design and develop highly complex and comprehensive systems combining engineering, AI and human participation. You will work closely with product managers, designers, and users to turn ideas and AI into reality and make a great impact to all global Office users.
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\nMicrosoft AI are looking for a talented Senior Applied Scientist at their Hyderabad office. This role sits at the heart of developing novel machine learning and data mining algorithms, designing and developing solutions that respond in real time, and building data quality checks and re-usable modules for the training.
\nAbout the Role
\nAs a Senior Applied Scientist, you will be responsible for developing novel machine learning and data mining algorithms, designing and developing solutions that respond in real time, and building data quality checks and re-usable modules for the training. You will also be hosting ML models with production-ready code, designing and executing offline/online experiments, and advancing the state of the art of NLP technologies for real world scenarios.
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\nMicrosoft AI are looking for a talented Senior Applied Scientist at their Noida office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI search and Copilot experiences. You'll work directly with leadership to shape the company's direction in the AI and search markets.
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\nAs a Senior Applied Scientist, you will be responsible for developing novel machine learning and data mining algorithms. You will design and develop solutions that respond in real time, building data quality checks and re-usable modules for the training. You will host ML models with production-ready code, designing and executing offline/online experiments. You will advance the state of the art of NLP technologies for real world scenarios, investigating and solving NLP accuracy and robustness issues across all processing chains, including model development, test and quality control, deployment, and user feedback stages.
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\nMicrosoft AI are looking for a talented Senior Applied Scientist at their Vancouver office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.
\nAbout the Role
\nAs a Senior Applied Scientist, you'll lead the science behind Discover'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.
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\nMicrosoft AI are looking for a talented Senior 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's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.
\nAbout the Role
\nAs a Senior Applied Scientist, you will join the asset generation team in Microsoft AI focusing on image and video retrieval, recommendation and generation. You will build core generative AI solutions that power customer-facing AI solutions and services for Microsoft Advertising at Bing platforms. In this role, you'll combine solid computer vision skills with applied ML expertise to design, prototype, evaluate and ship production systems—using techniques like knowledge distillation, prompt engineering, reinforcement learning, image/video processing and rigorous evaluation/metrics to continuously improve image and video asset qualities. You'll partner closely across product, research, and service engineering to deliver the innovative and robust solutions for enterprise customers.
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\nMicrosoft AI are looking for a talented Senior Applied Scientist at their Suzhou office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technologies. You'll work directly with leadership to shape the company's direction in the search and AI innovation markets.
\nAbout the Role
\nWe are looking for a Senior Applied Scientist to design and build scalable, high-performance platform and grounding services for real-time processing of streaming news content and serving user queries with low latency. You will apply AI and machine learning to solve challenging problems in news Index, content understanding, query understanding, trending detection, ranking, and quality improvement for relevance, freshness, and authority, especially for grounding scenario. You will act as a designated responsible individual (DRI), work with partners and v-team members to understand requirements, define roadmap, lead execution, unblock issues, deliver mission on time. You will proactively learn and leverage engineer excellence practice from partner teams, build collaboration with partners. You will maintain system performance, security and compliance.
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\nMicrosoft AI are looking for a talented Senior Applied Scientist at their Toronto 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. The work will directly impact millions of users and advertisers by delivering scalable solutions that enhance ad relevance and optimize user and advertiser experiences.
\nAbout the Role
\nIn 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, 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. Responsibilities span the full modeling lifecycle, including training data and labeling strategy, feature and signal design, model development, and rigorous offline and online evaluation. Engineers and applied scientists work closely at the intersection of machine learning, economics, and large-scale systems to deliver high-performance real-time inference and robust experimentation in production.
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\nMicrosoft are looking for a talented Senior 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's revolutionising online advertising technology. You'll work directly with leadership to shape the company's direction in the advertising market.
\nAbout the Role
\nAs a Senior Applied Scientist, you will play a key role in driving algorithmic and modeling improvement to the system. You will analyze performance and identify opportunities based on offline and online testing. You will develop and deliver robust and scalable solutions. You will make direct impact to both user and advertisers experience. You will increase the revenue for Bing ads. You will have good communication, collaboration, and analytical skills.
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\nThe Candidate we're looking for
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\nMicrosoft AI are looking for a talented Senior Applied Scientist at their Redmond 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'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.
\nAbout the Role
\nIn 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.
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\nThe Candidate we're looking for
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