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principal security researcher

principal researcher

Microsoft

<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><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>Be at the forefront of AI by joining M365 Copilot team and take part in shaping the future of AI-powered user experiences across multiple Microsoft platforms. As a <b>Principal Applied Scientist</b>, you will transform how M365 users conduct Deep Research by finetuning LLMs, chain of thought techniques, intelligent information retrieval techniques or through agent orchestration. These innovations will enhance M365 Chat, Researcher agent, Windows Companions, or highly personalized search and recommendations systems in widely used office applications.</div><div></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>
You will master and gain expertise in broad areas of AI and ML, including trending research techniques. You&rsquo;ll also gain deep knowledge of building enterprise intelligence on office user&rsquo;s data.</li><li>
You will review business requirements and incorporate research to meet business goals. You &lsquo;ll provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact.</li><li>
You will identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives. You&rsquo;ll share research findings through industry outreach, collaborate with the academic community, and help develop the recruiting pipeline.</li><li>
You will document work in progress and experimentation results and share findings to promote innovation. You&rsquo;ll also use your deep understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection.</li><li>
You will collaborate with a multidisciplinary team to create scalable and ethical AI solutions.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><b>
Required Qualifications:</b></div><br>
<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)
</li><li>OR equivalent experience.</li></ul></li><li>
3+ year(s) experience developing and deploying live production systems, as part of a product team.</li><li>
1+ years experience in Large Language Modeling (LLM) or Machine Learning (ML)</li></ul><div><div><b>
Other Requirements:</b></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>
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)
</li><li>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></ul><div>
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>
#M365Core</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></div>

Principal Applied Scientist

<div><p>The AI Business Solutions (ABS) team is looking for a Director of Research to help drive future of work thought leadership and marketing communications. This is a unique opportunity to help every person and every organization evolve with a rapidly changing world and not get left behind as Artificial Intelligence (AI) reshapes every aspect of work and business.</p><p>
The Director of Research plays a critical role in our research team, responsible for driving day-to-day execution of research projects and ensuring methodological rigor. The Senior Researcher will develop detailed research plans, conduct primary research activities, coordinate with cross-functional partners (including academic and customer stakeholders), and uphold high standards in documentation, analysis, and ethical compliance.</p><p>
The ideal candidate is an experienced researcher with impactful qualitative and quantitative skills, effective organizational abilities, and a passion for translating complex findings into practical insights. This role provides an exciting opportunity to work at the cutting edge of organizational research, shaping how companies adopt new technologies and ways of working, in partnership with world-class academic researchers and industry leaders.
</p><p>The Director of Research will be a driving force in transforming rigorous research findings into real-world impact within our organization and for our customers.</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><div>
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><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><div><b>
Research Planning &amp; Documentation:</b> Draft detailed research plans outlining objectives, hypotheses, methodologies, and timelines.</div><div><b><br>
Day-to-Day Research Execution:</b> Oversee the daily progress of research activities to meet project milestones. Serve as a key partner to external collaborators in refining experiment designs and protocols.</div><div></div><div><b><br>
Experiment Design &amp; Support:</b> Work closely with the Lead Researcher, Lead Data Scientist and external partners to design rigorous experiments. Contribute to developing and setting up research protocols (e.g., defining control vs. treatment groups, randomization schemes, measurement metrics) that align with business needs and scientific standards.</div><div><b><br>
Primary Research Activities:</b> Carry out core research tasks, including literature reviews, qualitative and quantitative research, hypothesis generation and pattern analysis.</div><div></div><div><b><br>
Customer Research Engagement:</b> Support and lead conversations with customer participants involved in the research.</div><div><b><br>
Experiment Materials Creation:</b> Develop all supporting materials required for experiments and for sharing insights with stakeholders. Tailor communication of complex experimental concepts into understandable content for non-research audiences (e.g., customer sponsors or executives).</div><div></div><div><b><br>
Blueprint Co-Design:</b> Collaborate in co-designing <b>&ldquo;blueprint&rdquo; materials</b> that translate research outcomes into practical frameworks or recommendations.</div><div></div><div><b><br>
Data Science Peer Review:</b> Act as a peer reviewer and thought partner to the team&rsquo;s Lead Data Scientist. Review data collection plans, analysis code, and preliminary results to ensure accuracy and validity. Provide feedback on statistical methods, suggest improvements or alternative analyses, and help interpret data outcomes in the context of the research questions.</div><div></div><div><b><br>
Privacy &amp; Legal Compliance:</b> Lead the preparation of materials and discussions needed for research protocol sign-off with Privacy and Legal teams. This includes ensuring all research activities comply with data privacy regulations and ethical standards. Draft research protocols that detail how data will be collected, used, stored, and protected. Coordinate Institutional Review Board (IRB) applications or internal ethics reviews if required. Work with Microsoft privacy/legal stakeholders to address any concerns and secure necessary approvals before research deployment. Maintain participant confidentiality and data security throughout the project.</div><div><b><br>
Cross-Functional Collaboration:</b> Serve as a liaison between the research team and other stakeholders (e.g., program managers, product teams, or leadership). Provide regular updates on research progress, preliminary insights, and final results. Incorporate feedback from various perspectives while maintaining research integrity. Help integrate research findings into broader project deliverables and strategic decisions.</div><div></div><div><br>
Embody our culture and values.</div><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><b>
Required/minimum qualifications</b></div><ul><li>
7+ years experience in data science, research, marketing or business-related roles<ul><li>
OR Bachelor's Degree in Business, Marketing, Economics, Social Sciences, Statistics, or related field AND 6+ years experience in data science, research, marketing or business-related roles</li><li>
OR Master's Degree in Business, Marketing, Economics, Social Sciences, Statistics, or related field AND 4+ years experience in data science, research, marketing or business-related roles.</li></ul></li><li>
5+ years of hands-on research experience including designing and executing complex research projects from start to finish.</li></ul><div><b>
Additional or preferred qualifications</b><ul><li>
9+ years experience in data science, research, marketing or business-related roles<ul><li>
OR Bachelor's Degree in Business, Marketing, Economics, Social Sciences, Statistics, or related field AND 8+ years experience in data science, research, marketing or business-related roles</li><li>
OR Master's Degree in Business, Marketing, Economics, Social Sciences, Statistics, or related field AND 7+ years experience in data science, research, marketing or business-related roles</li><li>
OR Doctorate in Business, Marketing, Economics, Social Sciences, Statistics, or related field AND 5+ years experience in data science, research, marketing or business-related roles.</li></ul></li><li>
3+ years project management experience.</li><li>
4+ years experience working with decision makers to define need and scope research to answer questions.</li><li>
4+ years creating content that conveys a simple, clear message.</li><li>
7+ years of hands-on research experience including designing and executing complex research projects from start to finish, preferably within a marketing organization.</li><li>
Background in behavioral research, social science experiments, user experience research, or market research.
<br>
</li><li>Experience with qualitative data analysis software (such as NVivo, Dedoose or similar) or willingness to learn, for coding and analyzing interview transcripts and notes.</li><li>
Familiarity with quantitative analysis or statistical software (such as SPSS, R, Python/Pandas, or Excel&rsquo;s advanced functions). While the role is not primarily a data scientist, the ability to run or understand basic statistical analyses and to interpret data outputs is important.</li><li>
Experience with survey tools (e.g., Microsoft Forms, Qualtrics) to design and analyze surveys.</li><li>
Proficient understanding of research ethics and privacy requirements. Knowledge of GDPR and data protection principles in research, as well as experience preparing IRB submissions or following informed consent procedures. Track record of respecting confidentiality and handling sensitive data responsibly.</li><li>
Comfortable working with advanced AI tools, such as Copilot for M365, to carry out AI-empowered research processes.</li></ul></div><div><br>
Market Research IC5 - The typical base pay range for this role across the U.S. is USD $130,900 - $251,900 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 $165,600 - $272,300 per year. Certain roles may be eligible for benefits and other compensation.</div><div></div><div><br>
Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay</div><div></div><div><br>
Microsoft will accept applications for the role until November 10th, 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>

Director of Research

<div></div><div><h1 class="jobSectionHeader"><b>Principal Data Science Manager</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 25, 2025</b></div></div></div><div><div><div>
Job number</div><div><b>
1902147</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>
People Manager</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>
Data Science</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>
Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.</div><div><br>
We are seeking a Principal Data Science Manager to build and lead a hybrid team at the intersection of data labeling/annotation operations and applied data science. Your team will deliver high-quality labeled datasets, active-learning loops that directly improve fraud detection precision/recall, reduce false positives, and speed time-to-mitigation across Microsoft businesses.</div><div></div><div><br>
You will be a leader who sets strategy, hires and develops talent, drives cross-org execution, and ships measurable impact.</div><div></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><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><div><div><b>
Required/Minimum Qualifications</b></div><ul><li>
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)<ul><li>
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical technology)</li><li>
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical technology)</li><li>
OR equivalent experience.</li></ul></li><li>
3+ years of people-management experience.</li><li>
10+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.</li><li>
Hands-on proficiency with Python and SQL.</li></ul><div><b>
Other Requirements</b></div><div></div><p><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:
</p><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><b>
Additional/Preferred Qualifications</b></div><ul><li>
Master&rsquo;s/PhD in a quantitative field.</li><li>
Experience with active learning/uncertainty sampling and human-in-the-loop systems.</li><li>
Experience in Stakeholder management and executive communication; ability to set vision and drive cross-org programs to measurable outcomes.</li><li>
Graph analytics/ML and entity-relationship labeling (rings/collusion).</li><li>
Experience with online experimentation and real-time decisioning.</li><li>
Track record building inclusive teams and developing ICs/managers.</li></ul><div><b>
Data Science M5</b> - 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><br>
</div><div>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</div><div><br>
</div><div><b>Microsoft will accept applications for the role until October 30, 2025.</b></div></div></div></div><p></p><div><div><h3 class="jobSectionHeader"><b><br>
Responsibilities</b></h3><div><div><b>
People leadership &amp; org health:</b> Hire, lead, and develop a blended team of data scientists, label-ops leads, and analytics engineers; foster an inclusive culture and career growth.</div><div><b>
Strategy &amp; roadmap:</b> Define the labeling/annotation strategy, taxonomy stewardship, and quality framework aligned to fraud risk priorities and partner roadmaps.</div><div><b>
Active learning &amp; data quality:</b> Design sampling/uncertainty strategies, gold sets, and label accuracy.</div><div><b>
Programmatic labeling:</b> Introduce fragile supervision, heuristics, and graph-derived signals to pre-label data.</div><div><b>
Detection enablement:</b> Partner with engineering and data scientists to integrate labels into feature stores, model training, rules evaluation, and shadow tests.</div><div><b>
Cross-functional influence:</b> Translate ambiguous fraud patterns into clear label definitions and decision rubrics; align with Product, Engineering, and other stakeholders.</div><div><b>
Executive communication:</b> Report business impact and influence prioritization decisions.</div><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 Data Science Manager

<div></div><div><h1 class="jobSectionHeader"><b>Principal Product Manager</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 29, 2025</b></div></div></div><div><div><div>
Job number</div><div><b>
1901844</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>
Product Management</b></div></div></div><div><div><div>
Discipline</div><div><b>
Product Management</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>
Microsoft 365 is the de facto standard for enterprise cloud SaaS (software-as-a-service) solution and the Teams, SharePoint, and OneDrive services are its foundational elements. In this AI and Copilot era, organizations are digitally transforming every aspect of their business with Microsoft 365 which infuses intelligence and brings maximum productivity gain. Microsoft Teams and SharePoint/OneDrive services have recently reached over 300 million monthly active users (MAU). We are continuing to see exponential growth in our services and are expanding our team.</div><div></div><div><br>
We are the OneDrive/SharePoint Security and Copilot for Admins product team, part of Microsoft 365 cloud services teams in Experiences &amp; Devices (E&amp;D) division. Our team&rsquo;s mission is to empower customers with simple, secure, and compliant management solutions that help administer their ever-increasing digital estate. Our product portfolio targets small/medium/enterprise businesses, consumers, and schools. We are expanding to new AI-powered product offerings with premium advanced management capabilities through Copilot for IT Pros with AI-first controls for preventing over-per missioning, managing lifecycle of content, and adding operational resiliency. Also, our team plays a crucial role in the Microsoft 365 Copilot platform journey and helps Microsoft stay relevant and on the frontier.</div><div></div><div><br>
We are looking for a <b>Principal Product Manager</b> (Leader) (PM) who will be responsible for strategizing and expanding our AI initiatives across content security product portfolio and championing integrations across our Microsoft 365 suite. The keys to success will encompass creating a strategy for cross-product integrations across our product offerings in the lens of agentic capabilities and accelerating customer adoption and ISV partnership integrations.</div><div>
We are looking for you to bringing new perspective and your unique voice to our team!</div><div></div><div><br>
Part of building a successful team is having an inclusive workplace where all people and ideas are welcome. To this end, we&rsquo;ve created a Culture Club to provide organizational support to grassroots initiatives that focus on various aspects of our culture. We&rsquo;ve created local mentoring rings and communities where we can learn from each other and grow. We focus on having inclusive meetings that foster useful dialog. Transparency is also core to our culture. We like to have fun, celebrate our wins, and learn from our mistakes. Learn more about our team and culture at https://aka.ms/getsmart.</div><div></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><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><div><div><b>
Required Qualifications:</b></div><ul><li>
Bachelor's Degree AND 8+ years experience in product/service/program management or software development
<ul><li>OR equivalent experience.</li></ul></li><li>
8+ year(s) experience launching multiple iterations of products to customers</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><div>
Bachelor's Degree AND 12+ years experience in product/service/program management or software development OR equivalent experience.</div></li><li><div>
4+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework).</div></li><li><div>
6+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn).</div></li><li><div>
6+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product).</div></li></ul><div>
Product Management 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</div><div>
</div><div>
Microsoft will accept applications for the role until November 17th, 2025.</div></div></div></div><div></div><div><div><h3 class="jobSectionHeader"><b><br>
Responsibilities</b></h3><div><ul><li>
Lead the product strategy for elevating Copilot governance with SharePoint&rsquo;s cutting-edge security policies like ransomware protection and many other security platform solutions.</li><li>
Work closely with other compliance leaders and major offerings like Microsoft 365 Copilot, Teams Premium, Copilot for Sales, etc., This is a highly collaborative role with emphasis on partnership across organization boundaries and across PM, Engineering, Design, Research, Data Science, and Marketing disciplines to deliver impact together.</li><li>
Be the voice of the engineering team in customer conversations and will have plenty of opportunities to work directly with big enterprise customers and bring impact to Microsoft 365&rsquo;s core business.</li><li><div>
Executes on opportunities to evangelize the feature areas worked on with internal and external stakeholders, partners, analysts, and customers in the industry via presentations, blog posts, social media, and other forums. Presents at Executive Briefing Centers (EBCs) and industry/company events. Acts as a primary interface with Product Marketing to educate on the produce and develop content.</div></li><li><div>
Identifies features to deprecate. Develops, articulates, and presents reasoning and tradeoffs involved in deprecations. Helps drive the deprecation process. Works with Public Relations/Product Marketing on messaging to customers. Communicates change accurately. Drives next steps for customer transition. Identifies means failing to meet business demand.</div></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 Product Manager

<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

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