principal ai applied scientist Jobs in Redmond

principal ai applied scientist

research engineer

scientist/senior scientist, upstream Jobs in Redmond

scientist/senior scientist, upstream

senior ai applied scientist Jobs in Redmond

senior ai applied scientist

senior software engineer - applied ai Jobs in Redmond

senior software engineer - applied ai

applied scientist

Microsoft

<div><div>As a <b>Senior AI Applied Scientist</b> for The Customer Service Applications Team, you will play a pivotal role in advancing Microsoft's mission to empower every individual and organization on the planet to achieve more. You will contribute to the development and integration of cutting-edge AI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful.<br>
<br>
You will collaborate across product, research and engineering teams to bring innovative solutions to life, applying your expertise in machine learning, data science, and AI to solve complex problems. Your work will directly influence product direction and customer experiences.<br>
<br>
AI Mission and Impact:<br>
<br>
We are in an era of unprecedented innovation and openness. As Microsoft continues to lead in AI, we are seeking individuals to help tackle some of the most exciting and meaningful challenges in the field. Our vision is to build a truly open architecture platform that enables users to summon tailored AI agents to drive real-world outcomes.<br>
<br>
We are looking for anSenior AI Applied Scientist to join our team!<br>
<br>
This role will combine AI knowledge with applied science expertise, and demonstrate a growth mindset and customer empathy. Join us in shaping the future of AI agents.<br>
<br>
Microsoft&rsquo;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.</div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li>
Bringing the State of the Art to Products.</li><li><div>
Build collaborative relationships with product and business groups to deliver AI-driven impact.<br>
<ul><li>
</li>
Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques.<br>
<li>
</li>
Fine-tune foundation models using domain-specific datasets. - Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis.<br>
<li>
</li><li>
Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps.</li></ul></div></li></ul><ul><li><div>
Contribute to papers, patents, and conference presentations. - Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs.<br>
<ul><li>
</li>
Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts.<br>
<li>
</li></ul></div></li>
Leveraging Research in real-world problems<br>
Demonstrate deep expertise in AI subfields (e.g., deep learning, Generative AI, NLP, muti-modal models) to translate cutting-edge research into practical, real-world solutions that drive product innovation and business impact.<br>
<li><ul><li>
</li>
Share insights on industry trends and applied technologies with engineering and product teams.<br>
<li>
</li>
Formulate strategic plans that integrate state-of-the-art research to meet business goals.<br>
<li>
</li></ul></li>
Documentation<br>
Maintain clear documentation of experiments, results, and methodologies.<br>
<li><ul><li>
</li>
Share findings through internal forums, newsletters, and demos to promote innovation and knowledge sharing<br>
<li>
</li></ul></li>
Ethics, Privacy and Security<br>
Apply a deep understanding of fairness and bias in AI by proactively identifying and mitigating ethical and security risks&mdash;including XPIA (Cross-Prompt Injection Attack) unfairness, bias, and privacy concerns&mdash;to ensure equitable and responsible outcomes.<br>
<li><ul><li>
</li>
Ensure responsible AI practices throughout the development lifecycle, from data collection to deployment and monitoring.<br>
<li>
</li>
Contribute to internal ethics and privacy policies and ensure responsible AI practice throughout AI development cycle from data collection to model development, deployment, and monitoring.<br>
<li>
</li></ul></li>
Specialty Responsibilities<br>
Design, develop, and integrate generative AI solutions using foundation models and more.<br>
<li><ul><li>
</li>
Deep understanding of small and large language models architecture, Deep learning, fine tuning techniques, multi-agent architectures, classical ML, and optimization techniques to adapt out-of-the-box solutions to particular business problems<br>
<li>
</li>
Prepare and analyze data for machine learning, identifying optimal features and addressing data gaps.<br>
<li>
</li>
Develop, train, and evaluate machine learning models and algorithms to solve complex business problems, using modern frameworks and state-of-the-art models, open-source libraries, statistical tools, and rigorous metrics<br>
<li>
</li>
Address scalability and performance issues using large-scale computing frameworks.<br>
<li>
</li><li>
Monitor model behavior, guide product monitoring and alerting, and adapt to changes in data streams.</li><li>
Embody our culture and values.</li></ul></li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><b>
Required Qualifications:</b></div><ul><li>
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)
<ul><li>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)
</li><li>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)
</li><li>OR equivalent experience.</li></ul></li></ul><ul><li>
1+ years of experience with generative AI OR LLM/ML algorithms.</li><li>
1+ research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques.</li></ul><div></div><div><b><br>
Other Requirements:</b></div><div>
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:</div><ul><li><b>
Microsoft Cloud Background Check:</b> This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><div><b>
Preferred Qualifications:</b></div><br>
<ul><li>
Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines.<br>
</li>
Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow).<br>
<li>
</li>
3+ years of experience publishing in peer-reviewed venues or filing patents.<br>
<li>
</li>
Experience presenting at conferences or industry events.<br>
<li>
</li>
3+ years of experience conducting research in academic or industry settings.<br>
<li>
</li>
1+ year of experience developing and deploying live production systems.<br>
<li>
</li>
1+ years of experience working with Generative AI models and ML stacks.<br>
<li>
</li><li>
Experience across the product lifecycle from ideation to shipping.</li></ul><div><b>
Applied Sciences IC4</b> - 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.<br>
<br>
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay<br>
<br>
<br>
</div><div>Microsoft will accept applications for the role until October 31, 2025.</div><div></div><div><br>
#BIC</div><div>
#BICJOBS</div>
Microsoft is an equal opportunity employer. Consistent with applicable law, 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. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

Senior AI Applied Scientist

<div><p>As a Principal AI Applied Scientist for The Customer Service Applications Team, you will play a pivotal role in advancing Microsoft's mission to empower every individual and organization on the planet to achieve more. You will contribute to the development and integration of cutting-edge AI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful.<br>
<br>
You will collaborate across product, research and engineering teams to bring innovative solutions to life, applying your expertise in machine learning, data science, and AI to solve complex problems. Your work will directly influence product direction and customer experiences.</p><p><b>
AI Mission and Impact</b></p><p>
We are in an era of unprecedented innovation and openness. As Microsoft continues to lead in AI, we are seeking individuals to help tackle some of the most exciting and meaningful challenges in the field. Our vision is to build a truly open architecture platform that enables users to summon tailored AI agents to drive real-world outcomes.</p><p>
We are looking for a Principal AI Applied Scientist to join our team<br>
<br>
This role will combine AI knowledge with applied science expertise and demonstrate a growth mindset and customer empathy. Join us in shaping the future of AI agents.</p><p>
Microsoft&rsquo;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.</p><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><p><b>
Bringing the State of the Art to Products</b></p><ul><li>
Build collaborative relationships with product and business groups to deliver AI-driven impact</li><li>
Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques.</li><li>
Fine-tune foundation models using domain-specific datasets. - Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis.</li><li>
Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, and support MLOps/AIOps.<br>
Contribute to papers, patents, and conference presentations. - Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs.</li><li>
Ability to use data to identify gaps in AI quality, uncover insights, and implement PoCs to show proof of concepts.</li></ul><div></div><p><b><br>
Leveraging Research in real-world problems</b></p><ul><li>
Drive original research and thought leadership (whitepapers, internal notes, patents); convert insights into shipped capabilities.</li><li>
Research Translation: Continuously review emerging work; identify high-potential methods and adapt them to Microsoft problem spaces.</li><li>
Production Integration: Turn research prototypes into production-quality code optimized for scale, latency, and maintainability.</li><li>
ML Design &amp; Architecture: Own end-to-end pipeline from data prep, training, evaluation, deployment, and feedback loops.</li><li>
Evaluation &amp; Instrumentation: Build robust offline/online evals, experimentation frameworks, and telemetry for model/system performance.</li><li>
Learning Loop Creation: Operationalize continuous learning from user feedback and system signals; close the loop from experimentation to deployment.</li><li>
Experimentation &amp; E2E Validation: Design controlled experiments, analyze results, and drive product/model decisions with data.</li></ul><div></div><p><b><br>
Cross-Functional Collab</b><b>oration &amp; Influence</b></p><ul><li>
Broker collaborations across Microsoft Research, product engineering, and external partners.</li></ul><p></p><p><b><br>
Ethics, </b><b>Privacy</b><b> and Security</b></p><ul><li>
Apply a deep understanding of fairness and bias in AI by proactively identifying and mitigating ethical and security risks&mdash;including XPIA (Cross-Prompt Injection Attack) unfairness, bias, and privacy concerns&mdash;to ensure equitable and responsible outcomes.</li><li>
Ensure responsible AI practices throughout the development lifecycle, from data collection to deployment and monitoring.</li><li>
Contribute to internal ethics and privacy policies and ensure responsible AI practice throughout AI development cycle from data collection to model development, deployment, and monitoring.</li></ul><p><b>
Specialty Responsibilities</b></p><ul><li>
Design, develop, and integrate generative AI solutions using foundation models and more.</li><li>
Deep understanding of small and large language models architecture, Deep learning, fine tuning techniques, multi-agent architectures, classical ML, and optimization techniques to adapt out-of-the-box solutions to particular business problems</li><li>
Prepare and analyze data for machine learning, identify optimal features, and address data gaps.</li><li>
Develop, train, and evaluate machine learning models and algorithms to solve complex business problems, using modern frameworks and state-of-the-art models, open-source libraries, statistical tools, and rigorous metrics</li><li>
Address scalability and performance issues using large-scale computing frameworks.</li><li>
Monitor model behavior, , guide product monitoring and alerting, and adapt to changes in data streams.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><p><b>
Required Qualifications :</b></p><ul><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)
<ul><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><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) OR equivalent experience.</li></ul></li><li>
8+ years of experience leading large-scale AI systems and cross-org initiatives that shipped.</li><li>
8+ years of experience in software engineering foundations and hands-on depth in Python plus deep-learning frameworks (PyTorch/ TensorFlow) and modern MLOps/tooling.</li></ul><div></div><div><b><br>
Other Requirements:</b></div><ul><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:</li><li><div><ul><li>
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></ul></div></li></ul><div></div><p><b><br>
Preferred Qualifications:</b></p><ul><li>
PhD in AI/ML or related field with top-venue publications and/or patents.</li><li>
Experience architecting and deploying LLMs/multimodal models and multi-agent systems in production at scale.</li><li>
Familiarity with Responsible AI frameworks and bias-mitigation techniques.</li><li>
Demonstrated ability to shape product strategy and drive organizational change.</li><li>
Experience with Microsoft&rsquo;s LLMOps stack: Azure AI Foundry, Azure Machine Learning, Semantic Kernel, Azure OpenAI Service, and Azure AI Search for vector/RAG</li></ul><div></div><div><br>
Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 per year.<br>
<br>
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
<br>
<br>
Microsoft will accept applications for the role until November 6, 2025.</div><div></div><div><br>
#BICJobs</div>
Microsoft is an equal opportunity employer. Consistent with applicable law, 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. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

Principal AI Applied Scientist

<div><div>We turn everyday, messy queries into precise, actionable signals that power M365 Copilot and Microsoft Search. Language understanding (LU) sits on the critical path&mdash;it can run on every query&mdash;classifying intent and slots and shaping the downstream search plan across providers in the substrate stack. Our work ensures that all tool calls are appropriately scoped and parameterized so Copilot starts with the right grounding data, improving relevance and limiting hallucinations.</div><div><br>
As <b>Senior Applied Scientist - Language Understanding and Grounding Data Quality</b>, what you&rsquo;ll work on<br>
<br>
Large Language Model (LLM)/SLMpowered LU: intent &amp; slotting with calibrated confidence, optimized for low latency and high reliability in Copilot experiences<br>
<br>
MultiQuery (MQ) expansion: embrace ambiguity by exploring multiple interpretations and smarter fallbacks to boost recall without sacrificing precision.<br>
<br>
Finetuning &amp; eval tooling: Our team works to improve model quality specific to tool calling: Making sure the right tool is called in the right way at the right time to get the best grounding data possible. To do it, we post-train LLMs iterating fast with robust datasets, prompt evaluation, and shiproom discipline to raise quality week over week through leading edge fine-tuning<br>
<br>
Global reach: help bring LU to more languages and markets with compliant modeling practices and scalable i18n strategy.<br>
<br>
Deep partner collaboration: work side-by-side with Relevance and Reasoning on unified strategies that blend lexical + semantic retrieval.</div><div><br>
Microsoft&rsquo;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.</div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li>
Improve LLM capabilities influencing grounding data quality.</li><li>
Apply latest research to post-train LLMs.</li><li>
Build and evaluate metrics and reward models.</li><li>
Add new functionality and ensure high quality for customers using Copilot on their Business data.</li><li>
Design and implement scalable evaluation pipelines for LU and grounding quality</li><li>
Collaborate with cross-functional teams to define success metrics and drive continuous improvement in Copilot experiences</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><b>
Required Qualifications:</b></div><ul><li>
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)
<ul><li>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)
</li><li>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)
</li><li>OR equivalent experience.</li></ul></li><li>
Experience in Python, C# or similar programming languages for model development, training, and evaluation</li><li>
Experience with large-scale machine learning systems, including training, fine-tuning, and deployment of LLMs or similar models</li></ul><div><b>
Other Requirements:</b><br>
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:</div><ul><li><b>
Microsoft Cloud Background Check</b>: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><div><b>
Preferred Qualifications</b></div><ul><li>
Hands-on experience with prompt engineering, reinforcement learning from human feedback (RLHF), or reward modeling</li><li>
Familiarity with distributed systems and cloud platforms (e.g., Azure) for large-scale ML workloads</li></ul><div>
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.<br>
<br>
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
<br>
<br>
Microsoft will accept applications for the role until October 31, 2025.</div><br>
<div></div>
Microsoft is an equal opportunity employer. Consistent with applicable law, 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. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

Senior Applied Scientist - Language Understanding and Grounding Data Quality

<div></div><div><h1 class="jobSectionHeader"><b>Principal Data Scientist &ndash; Deepfake Detection</b></h1><div><div><p>
Redmond, Washington, United States</p></div></div><p></p><div><div><div><div><br>
Date posted</div><div><b>
Oct 30, 2025</b></div></div></div><div><div><div>
Job number</div><div><b>
1901559</b></div></div></div><div><div><div>
Work site</div><div><b>
3 days / week in-office</b></div></div></div><div><div><div>
Travel</div><div><b>
0-25</b><b> </b><b>%</b></div></div></div><div><div><div>
Role type</div><div><b>
Individual Contributor</b></div></div></div><div><div><div>
Profession</div><div><b>
Research, Applied, &amp; Data Sciences</b></div></div></div><div><div><div>
Discipline</div><div><b>
Applied Sciences</b></div></div></div><div><div><div>
Employment type</div><div><b>
Full-Time</b></div></div></div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>
Overview</b></h3><div><div>
Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end-to-end, simplified solutions. The Microsoft Security organization accelerates Microsoft&rsquo;s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers&rsquo; heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.</div><div></div><div><br>
We are seeking a <b>Principal Data Scientist </b>with expertise in audio/video (A/V) analysis, ML systems, and threat detection to help Microsoft Defender for Office protect the hundreds of millions of enterprise customers that rely on Microsoft collaboration platforms every day for meetings, chat, email, and more. In this role you will be a keystone in the continuous improvement of our deepfake detection strategy.</div><div></div><div><br>
You&rsquo;ll immerse yourself in the deepfake threat problem space and drive solutions to improve detection efficacy. As part of a team of security researchers and data scientists supporting a large customer base, you&rsquo;ll need to be able to ideate, adapt, and deliver quick wins with current capabilities while devising longer term durable improvements. Essential to success will be your ability to establish effective collaboration across organizational boundaries. You can expect to be &lsquo;hands on&rsquo; in prototyping, testing and implementing solutions to achieve our detection effectiveness goals. You&rsquo;ll also help support our broader strategy for detecting social engineering techniques tangential to deepfakes.</div><div></div><div><i><br>
Microsoft&rsquo;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.</i></div><div></div><div><br>
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.</div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><div><div><b>
Required Qualifications:</b></div><ul><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).<ul><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) 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><li>
OR equivalent experience.</li></ul></li><li>
3+ years experience in applied security research or ML for audio/video analysis, biometrics, signal processing, media forensics or a closely related field; ideally shipping detections or classifiers to production at scale.</li><li>
3+ years&rsquo; experience with Python and ML frameworks and algorithms, with experience designing offline evaluations and online experiments that balance precision/recall, latency, and customer experience.</li></ul><div><b>
Other Requirements:</b></div><div><div>
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 background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.</div></div><div></div><div><b><br>
Preferred Qualifications:</b></div><ul><li>
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
<ul><li>OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.</li></ul></li><li>
5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).</li><li>
2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.</li><li>
5+ years experience conducting research as part of a research program (in academic or industry settings)</li><li>
3+ years experience developing and deploying live production systems, as part of a product team.</li><li>
3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.</li><li>
Experience in synthetic media detection and anti-spoofing (audio and/or video), including adversarial ML, domain shift, and real time performance constraints.</li><li>
Experience with big data platforms such as Azure Analytics Services, Spark, or comparable technology.
</li><li>Background with product security, trust &amp; safety or digital safety programs.</li><li>
Experience in collaboration threat models or threat research, including deepfake/social engineering scenarios in meetings, email, and chats or related technology.</li><li>
Willing to lead and influence change without hierarchical authority, partner effectively with a diverse set of stakeholders, and drive consensus.</li></ul><div></div><div><br>
Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 per year.</div><div></div><div><br>
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
</div><div>https://careers.microsoft.com/us/en/us-corporate-pay</div><div><br>
</div><div>Microsoft will accept applications for the role until November 20, 2025</div><div></div><div><b><br>
#mtp #MSFTSECURITY</b></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Responsibilities</b></h3><div><div>
As a Principal Data Scientist focused on protecting enterprise Microsoft customers from deepfakes and other social engineering threat vectors through Microsoft Defender, you will be responsible for:</div><ul><li>
Collaborating with a diverse set of partner teams to protect enterprise Microsoft customers from deepfakes and other social engineering threat vectors</li><li>
Driving research and experimentation for synthetic A/V and manipulated media detection inside Teams, particularly developing evaluation and benchmarking protocols and measurements, running evaluations on new detection signals from external and internal sources, contributing to integration roadmaps, and identifying and driving effectiveness improvements</li><li>
Conducting experiments and analyzing new methods for generative A/V detection while maintaining an in-depth understanding of evolving generative technologies, including attacker tools and techniques</li><li>
Developing and supporting production ML models and heuristics to detect deepfakes and other social engineering attacks</li><li>
Availability and willingness to cover a periodic on-call rotation or engage in incident response as needed</li></ul><div>
Embody our culture and values</div></div></div></div></div><div></div><div><div><div>
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.</div></div><div><div><div>
&#60116;</div>Industry leading healthcare</div><div><div>
&#59326;</div>Educational resources</div><div><div>
&#59628;</div>Discounts on products and services</div><div><div>
&#60157;</div>Savings and investments</div><div><div>
&#63586;</div>Maternity and paternity leave</div><div><div>
&#59927;</div>Generous time away</div><div><div>
&#60241;</div>Giving programs</div><div><div>
&#61396;</div>Opportunities to network and connect</div></div></div><div></div><div><div><div>
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. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div></div></div></div><p></p>

PRINCIPAL SECURITY RESEARCHER

<div><div>Join us in building a cutting-edge platform that enables seamless observation and interaction with AI agents. Our mission is to empower creators and organizations by providing tools for Human-in-the-Loop (HITL) workflows, intelligent prioritization, and advanced learning systems. You&rsquo;ll be part of a team that thrives on innovation and collaboration to redefine how humans and AI work together.</div><div></div><div><br>
As a<b> Research Engineer</b>, you will design and implement research-driven solutions that enhance agent transparency, task grouping, and adaptive learning. You&rsquo;ll explore methods for integrating memory, knowledge graphs, evaluations, and AI judges into our platform to improve agent performance and user experience. This role offers opportunities to deepen your expertise in applied AI, contribute to scalable systems, and shape the future of human-AI collaboration. You will work closely with internal and external stakeholders to develop algorithms that analyze interactions and generate actionable insights. Your contributions will help create teaching and learning moments for agent makers, driving continuous improvement. This position provides a flexible work environment and the chance to accelerate your career while influencing next-generation AI platforms.</div><div><br>
Microsoft&rsquo;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.</div><div></div><div><br>
#EiP</div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li>
Design and implement algorithms that enable transparent, interactive AI agent workflows.
</li><li>Collaborate with engineers and researchers to integrate HITL capabilities, memory, knowledge, and evaluation frameworks into the platform.
</li><li>Analyze agent-human interactions to extract insights, optimize task prioritization, and create adaptive learning mechanisms.
</li><li>Drive experimentation, validate hypotheses, and contribute to scalable solutions that improve both internal and client-facing AI agents.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><b>
Required Qualifications:</b></div><ul><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience, e.g., It could include examples as well: prompt engineering, agent orchestration (Semantic Kernel, LangChain), offline and online evaluation, and customization techniques for large language models (Fine tuning, RAG, memory and prompt optimization)<ul><li>
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field<br>
</li><li>
OR equivalent experience.</li></ul></li></ul><div></div><div><b>
Other Requirements</b>:</div><div></div><div><br>
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:</div><ul><li><b>
Microsoft Cloud Background Check</b>: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><div><b>
Preferred Qualifications:</b></div><ul><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering,or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research<ul><li>
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, orrelated field</li><li>
OR equivalent experience.</li></ul></li></ul><div>
Applied Sciences IC2 - The typical base pay range for this role across the U.S. is USD $84,200 - $165,200 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 $109,000 - $180,400 per year.<br>
<br>
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
<br>
<br>
Microsoft will accept applications for the role until November 30th, 2025.</div><div></div><div><br>
#BICJOBS #BIC, #Agent, #AI #EiP</div>
Microsoft is an equal opportunity employer. Consistent with applicable law, 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. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

Research Engineer

<div><div>The Microsoft Applied Sciences Group incubates disruptive technologies for Microsoft&rsquo;s next-gen hardware products and is working on several exciting projects that will shape how computers and other devices perceive the user and the user&rsquo;s environment. Operating as a startup within the company, this team works closely with several research and product teams to bring compelling new experiences to the market. A lot of these experiences are powered by machine learning &ndash; and as part of this team, you will have the unique opportunity to work on almost every aspect of a machine learning project - from ideation to shipping. You will have the opportunity to turn ideas into reality with real-world impact at Microsoft scale.</div><div><br>
As<b> Principal Researcher</b> you will have the opportunity to design and lead the implementation of state-of-the-art language and multimodal models to transform the Windows experience. You will have the opportunity to collaborate with people at the forefront of their field from across the organization and see your ideas turn ideas into reality with real-world impact at Microsoft scale. This is a hands-on role.<br>
<br>
Microsoft&rsquo;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.</div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li>
Research focusing on foundation models - Designing and training language and multimodal models (and finetunes) with supervised finetuning, distillation, reinforcement learning, low-rank adaptation.</li><li>
Research focusing on environment interaction, policy specification and verification and human intent alignment.</li><li>
Implementation: Train, distill, and finetune language and vision models in PyTorch, DeepSpeed, AzureML stack.</li><li>
Machine learning engineering - Build pipelines to test designs, algorithms and models.</li><li>
Data science - Research and develop synthetic data generation strategies.</li><li>
Proactively follow state of the art research and share latest work, write papers, attend conferences and share knowledge in the wider team.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><b>
Required Qualifications:</b></div><ul><li>
Doctorate in relevant field AND 3+ years related research experience<ul><li>
OR equivalent experience.</li></ul></li><li>
Experience conducting research as part of a research program in academic or industry settings.</li></ul><div></div><div><b>
Other Requirements</b>: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:</div><ul><li><b>
Microsoft Cloud Background Check</b>: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><div><b>
Preferred Qualifications:</b></div><ul><li><div>
3+ years' experience training and/or finetuning large language models, model compression, distillation to small language models.</div></li><li>
3+ years' experience with Python and deep learning libraries</li><li>
Experience in large language/multimodal model training, finetuning and distillation.</li><li>
Demonstrated record of publications in top-tier conferences or journals (ICLR, ACL, EMLP, ICML, CVPR, ICCV, ECCV, NeurIPS, TPAMI, etc.).</li><li>
Experience in creating reusable software libraries and packages.</li><li>
Experience using dataset curation, data generation using prompting state of art LLMs and/or model alignment.</li><li>
Experience with reinforcement learning libraries or formal methods and verification is a plus.</li><li>
Demonstrated ability and passion for incubating new ideas, solving problems, and building working systems.</li></ul><div>
Research Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 per year.<br>
<br>
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay<br>
<br>
Microsoft will accept applications for the role until November 14, Year.</div><div></div><div><br>
#W+DJOBS</div><div>
#llm
</div><div>#agents
</div><div>#microsoft
</div><div>#ai</div>
Microsoft is an equal opportunity employer. Consistent with applicable law, 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. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

Principal Researcher

<div><div>Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.</div><div><br>
Join <b>Human Intelligence</b> team in <b>Windows A</b><b>pplied Sciences Group</b> to advance <b>multimodal face normalization</b> and <b>RGB+NIR recognition</b> for secure sign-in experiences (e.g., Windows Hello). We explore techniques that transform diverse, cross-modal inputs into robust identity representations; improve invariance to pose/illumination/occlusion; and pursue compute-efficient perception for real-world deployment. We emphasize scientific rigor, reproducibility, and user-centric evaluation at production scale.</div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><div>
Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world&rsquo;s best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.</div><h4 class="jobSectionHeader"><b>
Additional Responsibilities</b></h4><ul><li><b>
Research &amp; prototype</b> methods in areas such as:<ul><li><b>
Unified face normalization across modalities</b> (e.g., RGB NIR), with joint prototype + feature learning and cross-modal alignment.</li><li><b>
Multimodal face recognition</b> (fusion across RGB, NIR, depth/IR, audio cues where appropriate), with robustness/fairness under distribution shift.</li><li><b>
Large Language Models-aided face verification</b>: explore Vision Language Models (VLM)/Large Language Models (LLM) pipelines that (i) use visual context in the photo (attributes, scene cues, spatiotemporal hints) to assist verification; (ii) provide interpretable rationales; and (iii) improve failure detection and human-in-the-loop triage.</li><li><b>
Efficiency &amp; reliability</b>: distillation/quantization/pruning, lightweight encoders/normalizers, calibration and uncertainty, liveness/antispoof integration.</li></ul></li><li><b>
Evaluate thoroughly</b>: define datasets and protocols; run ablations and benchmarks (ROC, EER, TPR@FAR, latency/memory, fairness/robustness).</li><li><b>
Production immersion</b>: learn Windows Hello-style pipelines (signals, constraints, on-device considerations) to align research with deployment.</li><li><b>
Publish</b>: communicate results via talks, internal tech reports, and submissions to top venues.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><h4 class="jobSectionHeader"><b>
Required Qualifications</b></h4><ul><li>
Currently enrolled in a <b>Master&rsquo;s or Ph.D.</b> program in <b>CS, EE, Applied Math</b>, or related field with a focus in <b>vision/graphics/ML</b>.</li></ul><div><b>
Other Requirements</b></div><ul><li>
Research Interns are expected to be physically located in their manager&rsquo;s Microsoft worksite location for the duration of their internship.</li><li>
In addition to the qualifications below, you&rsquo;ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.</li></ul><h4 class="jobSectionHeader"><b>
Preferred Qualifications</b></h4><ul><li>
Publications in CVPR/ICCV/ECCV/NeurIPS/ICLR/ICML/SIGGRAPH or related journals.</li><li>
Experience in face recognition/verification, multimodal learning/fusion, metric learning, representation or generative modeling.</li><li>
Depth in <b>multimodal normalization</b> (pre-FR normalizers, prototype learning) and <b>RGB NIR FR</b>.</li><li>
Experience with <b>VLMs/LLMs</b> (prompting, fine-tuning, tool-use) for visual reasoning, explainability, or safety.</li><li>
Scalable training (DDP/multi-node), dataset curation, reproducible MLOps; familiarity with liveness/FAS and fairness/robustness evaluation.</li><li>
Proficient PyTorch/JAX background; ability to implement/reproduce SOTA.</li></ul><div></div><div><br>
Applied Sciences IC2 - The base pay range for this internship is USD $5,610 - $11,010 per month.</div><div></div><div><br>
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 $7,270 - $12,030 per month.</div><div></div><div><br>
Applied Sciences IC3 - The base pay range for this internship is USD $6,710 - $13,270 per month.</div><div></div><div><br>
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-intern-pay</div><div></div><div><br>
Microsoft accepts applications and processes offers for these roles on an ongoing basis throughout the academic calendar (September - April).</div><br>
<div></div>
Microsoft is an equal opportunity employer. Consistent with applicable law, 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. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

Research Intern - Human Intelligence

Explore 15+ Applied scientist in Redmond this November. Find roles across top companies and apply now to boost your career.