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principal data scientist – deepfake detection Jobs in Redmond

principal data scientist – deepfake detection

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principal data scientist deepfake detection

Microsoft

<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><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><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><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 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>
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 Data Scientist – Deepfake Detection

<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>AI Applied Scientist</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>
1901534</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>
We are looking for an 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 experience.</div><div></div><div><b><br>
AI Mission and Impact</b></div><div>
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.</div><div>
We are looking for an (insert role/ external title) 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.</div><div>
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&rsquo;s degree in computer science, Statistics, Electrical/Computer Engineering, Physics, Mathematics or related field AND 2+ years of experience in AI/ML, predictive analytics, or research<br>
<ul><li>OR Master&rsquo;s degree AND 2+ years of experience</li><li>OR equivalent experience</li></ul></li></ul><ul><li>
1+ years of experience with generative AI OR LLM/ML algorithms</li></ul><div><b>
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></ul><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>
Preferred Qualifications:</b></div><ul><li>
Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines.</li></ul><ul><li>
Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow)</li></ul><ul><li>
Experience developing and deploying live production systems one or more of the following: C#, Java, React/Angular, TypeScript.</li></ul><ul><li>
Experience with design and implementation of enterprise-scale services</li></ul><ul><li>
1+ years of experience publishing in peer-reviewed venues or filing patents</li></ul><ul><li>
Experience presenting at conferences or industry events</li></ul><ul><li>
1+ years of experience conducting research in academic or industry settings</li></ul><ul><li>
1+ years of experience working with Generative AI models and ML stacks</li></ul><ul><li>
Experience across the product lifecycle from ideation to shipping</li><li>
1+ years of experience contributing to the design and implementation of model finetuning pipelines (e.g., LoRA, domain/task-specific adaptation) for customer and product scenarios</li></ul><div></div><div><br>
Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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 11, 2025.<br>
<br>
<br>
</div></div></div></div><div></div><div><div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><div><div><b>
Bringing the State of the Art to Products</b></div><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.</li><li>
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>
 <b>Leveraging Research in real-world problems</b></div><ul><li>
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.</li><li>
Share insights on industry trends and applied technologies with engineering and product teams.</li><li>
Formulate strategic plans that integrate state-of-the-art research to meet business goals.</li></ul><div>
 <b>Documentation</b></div><ul><li>
Maintain clear documentation of experiments, results, and methodologies.</li><li>
Share findings through internal forums, newsletters, and demos to promote innovation and knowledge sharing</li></ul><div>
 <b>Ethics, Privacy and Security</b></div>
<ul><li> 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><div>
 <b>Specialty Responsibilities</b></div><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></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>

AI Applied Scientist

<div><div>As an Applied Scientist II - AI for the Customer Experience Architecture team (CXA), 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.</div><div><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>
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 an Applied Scientist II - AI 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><div>
Bringing the State of the Art to Products</div><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, 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.<br>
Leveraging Research in real-world problems</li><li>
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.</li><li>
Share insights on industry trends and applied technologies with engineering and product teams.</li><li>
Formulate strategic plans that integrate state-of-the-art research to meet business goals.</li></ul><div>
Documentation</div><ul><li>
Maintain clear documentation of experiments, results, and methodologies.</li><li>
Share findings through internal forums, newsletters, and demos to promote innovation and knowledge sharing</li></ul><div>
Ethics, Privacy and Security</div><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><div>
Specialty Responsibilities</div><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, identifying optimal features and addressing 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><div><b>
Required 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, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
</li><li>OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
</li><li>OR equivalent experience.</li></ul></li><li>
1+ years of experience with Generative AI OR Large Language Model (LLM)/Machine Learning algorithms.</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>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
</div><ul><li><div>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)</div></li><li><div>
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)</div></li><li><div>
OR equivalent experience.</div></li></ul></li><li><div>
1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).</div></li><li><div>
1+ years of experience working with Generative AI models and ML stacks.</div></li><li>
Experience across the product lifecycle from ideation to shipping.</li><li>
Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines.</li><li>
Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow).</li><li>
Experience developing and deploying live production systems one or more of the following: C#, Java, React/Angular, TypeScript.</li><li>
Experience presenting at conferences or industry events.</li><li>
Experience with design and implementation of enterprise-scale services.</li></ul><div>
Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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</div><div><br>
Microsoft will accept applications for the role until November 17, 2025.</div><div></div><div><br>
#BICJobs</div><div>
#CESJOBS</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>

Applied Scientist II - AI

<div></div><div><h1 class="jobSectionHeader"><b>Principal Software Engineer - AI</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>
1899515</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>
Software Engineering</b></div></div></div><div><div><div>
Discipline</div><div><b>
Software Engineering</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><p>
Dynamics 365 is Microsoft&rsquo;s suite of enterprise software that power many of the largest businesses in the world. The Customer Experience Applications Team delivers Dynamics 365 Contact Center, an AI-first solution that lets our customers run intelligent and highly scalable contact centers. We are building the next generation of our applications running on Azure that pull together Dynamics 365, Office 365 and a number of other Microsoft cloud services to deliver value, complete, and predictive application scenarios across all devices and form factors.</p><p>
D365 Contact Center is a robust application that enables organizations to instantly connect and engage with their customers via channels like Live Chat, Voice, and SMS.<br>
<br>
As an Principal Software Engineer - AI in the Microsoft Dynamics Customer Experience Applications team, you will apply both software engineering and AI expertise to design and implement intelligent solutions within Dynamics 365. You&rsquo;ll collaborate with business and technology leaders, internal users, and partners to build scalable, production-ready systems that leverage AI to solve complex business challenges. In this role, you are expected to bring software engineering fundamentals&mdash;architecture, coding, testing, and deployment&mdash;while also selecting and integrating the most effective AI models and frameworks to deliver measurable impact and innovation.<br>
<br>
We innovate quickly and collaborate closely with our partners and customers in a very agile environment. If the opportunity to collaborate with a diverse engineering team, on enabling end-to-end business scenarios using cutting-edge AI first technologies and to solve problems for large scale 24x7 business SaaS applications excite you, we would love to talk to you!</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></div></div><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><div><p><b>
Required Qualifications:</b></p><ul><li>
Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.<ul><li>
OR equivalent experience.</li></ul></li></ul><ul><li>
6+ years of experience with GenAI, LLMs, or agentic systems.</li></ul><div></div><p><b><br>
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:</p><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><p><b>
Preferred/Additional</b><b> </b><b>Qualifications :</b></p><ul><li>
Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.<ul><li>
OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.</li><li>
OR equivalent experience.</li></ul></li></ul><ul><li>
AI &amp; Domain Expertise: Deep expertise in one or more AI domains, with a proven track record of deploying and scaling AI models in cloud environments.</li></ul><ul><li>
MLOps &amp; LLMOps: experience with MLOps workflows (CI/CD, monitoring, retraining pipelines) and familiarity with modern LLMOps frameworks.</li></ul><ul><li>
Cloud &amp; Infrastructure: Skilled in building and operating infrastructure using Azure, AWS, or Google Cloud, and deploying containerized models with Docker, Kubernetes, or similar tools.</li></ul><div></div><div><br>
Software Engineering 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: https://careers.microsoft.com/us/en/us-corporate-pay</div><div></div><div><br>
Microsoft will accept applications for the role until November 6, 2025.</div><p></p><p><br>
#BICJobs</p><p>
#CESJOBS</p></div></div></div><p></p><div><div><h3 class="jobSectionHeader"><b><br>
Responsibilities</b></h3><div><p>
As Principal Software Engineer - AI focus in the Microsoft Dynamics Customer Experience Applications team, you will apply both software engineering and AI expertise to build intelligent, scalable solutions that power Dynamics 365 services used globally. You&rsquo;ll collaborate with cross-functional teams to deliver high-impact features aligned with enterprise standards and cloud-scale requirements. Your responsibilities include:</p><ul><li>
Design and develop highly usable, scalable application capabilities, integrating AI models and enhancing existing features to meet evolving customer needs.</li></ul><ul><li>
Translate business requirements into AI solutions, collaborating with data scientists, product managers, and engineering teams to ensure alignment and impact.</li></ul><ul><li>
Optimize AI model performance and reliability in production environments, including retraining, evaluation, and continuous monitoring.</li></ul><ul><li>
Own deployment, quality and operation of AI systems, including automated testing, CI/CD pipelines, deployment, and monitoring with MLOps and DevOps practices.</li></ul><ul><li>
Troubleshoot live site issues as part of both product development and live site support rotations, ensuring rapid resolution and learning.</li></ul><ul><li>
Ensure high reliability and performance of applications and services through intelligent monitoring, alerting, and proactive failover strategies.</li></ul><ul><li>
Build and debug production-grade code in distributed systems using C#, Azure.</li></ul></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 Software Engineer - AI

Systimmune

<div><div>Redmond, WA
</div><div>Full Time
</div><div>Protein Engineering
</div><div>Mid Level</div></div>
<br><div><p>SystImmune is a leading and well-funded clinical-stage biopharmaceutical company located in Redmond, WA and Princeton, NJ. It specializes in developing innovative cancer treatments using its established drug development platforms, focusing on bi-specific, multi-specific antibodies, and antibody-drug conjugates (ADCs). SystImmune has multiple assets in various stages of clinical trials for solid tumor and hematologic indications. Alongside ongoing clinical trials. SystImmune has a robust preclinical pipeline of potential cancer therapeutics in the discover and IND-enabling stages, representing cutting-edge biologics development. We offer an opportunity for you to learn and grow while making significant contributions to the company's success.</p><p><br>
We are seeking a highly skilled and energetic <b>Senior Scientist</b> to join our Protein Engineering Group. The successful candidate will deploy cutting edge concepts in therapeutics development and play a pivotal role in advancing our protein engineering efforts employing numerous techniques, including molecular biology, protein purification, Biolayer interferometry (BLI), and protein stability assessment. Ideal candidates will have deep expertise and interest in the properties and functions of proteins and protein-protein interactions, along with a strong track record of high-impact publications. This position offers a unique opportunity to contribute to the development of novel therapeutic antibodies within a dynamic and innovative environment.</p><h4 class="jobSectionHeader"><b><br>
Responsibilities:</b></h4><ul><li>
Lead and Advance Target Projects: Conduct literature reviews, coordinate cross-functional teams, and compile comprehensive data reports.</li><li>
Innovative Research: Utilize state-of-the-art techniques to accelerate project timelines and drive impactful discoveries.</li><li>
Data Analysis &amp; Reporting: Analyze experimental data, generate reports, and present findings to cross-functional teams.</li><li>
Protein Purification: Execute affinity chromatography, ion-exchange chromatography, and size-exclusion chromatography using FPLC (Akta) systems.</li><li>
Protein Analytics: Perform advanced chromatography on HPLC systems, measure protein-protein interactions with BLI, and assess protein stability using DLS/SLS thermal melts.</li><li>
Mammalian Expression &amp; Cell Culture: Transfect mammalian cells for protein expression and maintain cell lines.</li><li>
Molecular Biology: Utilize techniques such as Gibson Assembly, PCR, gel electrophoresis, DNA sequencing, and plasmid preparations.</li><li>
Team Leadership and Mentorship: Supervise and mentor junior scientists, fostering a culture of collaboration and scientific excellence.</li><li>
Collaboration &amp; Innovation: Work closely with multidisciplinary teams to contribute to project planning and execution.</li><li>
Lab Management: Maintain accurate records according to company standards, ensure safety compliance, and support lab organization and operations.</li></ul><h4 class="jobSectionHeader"><br>
<b>
Qualifications:</b></h4><ul><li>
PhD in biochemistry, biophysics, molecular biology, structural biology, cell biology, or a related field.</li><li>
1+ years of postdoctoral experience in a relevant field.</li><li>
2+ years of industry experience is highly preferred.</li><li>
Strong Publication Record of multiple high-impact papers in relevant fields.</li></ul><h4 class="jobSectionHeader"><b>
Technical Skills:</b></h4><ul><li>
Expertise in protein purification and handling.</li><li>
Experience with mammalian expression systems is strongly preferred.</li><li>
Strong background in molecular biology, structural biology, biophysics and biochemistry.</li><li>
Familiarity with data analysis software, programming languages, and statistical tools.</li><li>
Ability to maintain records within a laboratory information management system (LIMS).</li><li>
Ability to review and synthesize recent relevant literature.</li></ul><p><b><br>
Compensation and Benefits:</b></p><p>
The expected base salary range for this position is $90,000 - $140,000 annually. Actual compensation will be based on a variety of factors, including but not limited to a candidate&rsquo;s qualifications, experience, and skills.<br>
<br>
While most offers typically fall within the <b>low to mid-point</b> of the range, we may extend an offer toward the higher end for exceptional candidates whose background and expertise <b>exceeds</b> the requirements of the role.<br>
<br>
<b>SystImmune is a leading and well-funded biotech company with a bright future. We offer an opportunity for you to learn and grow while making significant contributions to the company&rsquo;s success. SystImmune offers a comprehensive benefits package including: 100% paid employee premiums for medical/dental/vision, also STD, LTD, a 401(k) plan with a 50% company match of up to 3% and a vesting schedule of only 5 years, 15 PTO days per year, sick leave, plus 11 paid holidays and MORE.</b><br>
<br>
<b>We offer an opportunity for you to learn and grow while making significant contributions to the company&rsquo;s success.
</b><br>
<br>
<b>SystImmune is an Equal Opportunity Employer. We welcome diverse talent and encourage all qualified applicants to apply.</b></p></div>

Senior Scientist, Protein Engineering

<div>
 Are you excited by the challenge of building intelligent, autonomous systems that deliver real-world impact? The Commerce Risk Analytics team at Microsoft is looking for a machine learning engineer to design, develop, and continuously improve a multi-agent AI Risk system that enables autonomous risk transaction review and decision-making. You&rsquo;ll be working at the intersection of large language models (LLMs), applied machine learning, and platform integration&mdash;building solutions that power scenarios from fraud prevention to customer support automation.
 <br/>
 <br/>
 We&rsquo;re hiring across several focus areas, and your role will align with your expertise and interests:
 <br/>
 <br/>
 <ul>
  <li>
   Autonomous Agent Development for Risk Decision &ndash; building LLM-based decision-making agents and advancing a multi-agent risk system
  </li>
  <li>
   AI Integration &amp; MLOps &ndash; enabling scalable infrastructure, data pipelines, and operational excellence
  </li>
  <li>
   Quality &amp; Integration &ndash; focusing on agent behavior testing, UI/UX integration, and platform reliability
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 As a machine learning engineer, you will:
 <br/>
 <br/>
 <ul>
  <li>
   Design and optimize multi-agent AI architectures that enable autonomous risk assessment and decision-making at scale, leveraging agent collaboration to reduce huma manual effort and minimize false positive rates.
  </li>
  <li>
   Implement agentic ML infrastructure that automates the full model development lifecycle enabling continuous learning, adaptive optimization, and scalable risk decisioning.
  </li>
  <li>
   Build and evolve AI-driven solutions that improve the accuracy, speed, and adaptability of fraud detection across a wide range of Commerce scenarios.
  </li>
  <li>
   Develop infrastructure and MLOps pipelines to support continuous training, deployment, and monitoring
  </li>
  <li>
   Conduct rigorous behavior testing and validation, focusing on performance, safety, and real-world edge cases
  </li>
  <li>
   Integrate AI agents with Azure AI services, Microsoft Graph API, Power Platform, and internal systems
  </li>
  <li>
   Apply best practices in security, compliance, and privacy to all aspects of agent development
  </li>
  <li>
   Partner closely with product managers, engineers, and data scientists to translate complex business challenges into scalable technical solutions, ensuring alignment and impact across stakeholders
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Required Qualifications:
  <br/>
  <br/>
 </strong>
 <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)
  </li>
  <ul>
   <li>
    OR Master's Degree 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 Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
   </li>
   <li>
    OR equivalent experience.
   </li>
  </ul>
  <li>
   3+ years of experience in software engineering, data science, or machine learning
  </li>
  <li>
   2+ years experience with LLMs, prompt engineering, and the OpenAI API
  </li>
  <li>
   2+ years experience with Azure services, cloud infrastructure, and CI/CD pipelines
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience working with multi-agent frameworks such as AutoGen, Semantic Kernal and Langchain.
  </li>
  <li>
   Knowledge of MLOps practices, including containerization, infrastructure-as-code, and monitoring
  </li>
  <li>
   Exposure to Power Platform, Microsoft Graph API, or enterprise integration technologies
  </li>
  <li>
   Experience debugging skills and a solid understanding of security and data protection principles
  </li>
  <li>
   Ability to communicate technical concepts effectively with both technical and non-technical stakeholders
  </li>
  <li>
   Proficiency in Python for development and scripting
   <br/>
   <br/>
  </li>
 </ul>
 Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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 October 29th, 2025
 <br/>
 <br/>
 <strong>
  Other Requirements
  <br/>
  <br/>
 </strong>
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 <br/>
 <br/>
 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>


Machine Learning Engineer

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