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Principal AI Scientist

2026-02-12

Netherlands, Noord-Holland, Amsterdam

0 days / week in-office – remote

Overview Microsoft Security AI’s NEXT R&D labs is the strategic incubation engine behind the next generation of AI-native security products. Our team blends scientific rigor, curiosity, and customer obsession to deliver life-changing innovations that protect millions of users and organizations by building the next generation of Artificial Intelligence (AI)-native security products. In the 18 months since our founding, we’ve driven the science behind Microsoft Security Copilot and delivered both foundational and specialized models. We pursue long horizon bets while landing near term impact, taking ideas from zero-to-one (0→1) prototypes to Minimum Viable Products (MVPs) and then one-to-many (1→N) platform integration across Microsoft Defender, Sentinel, Entra, Intune, and Purview. Our culture blends ambition and scientific rigor with curiosity, humility, and customer obsession; we invest in new knowledge, collaborate across worldclass scientists and engineers, and tackle the immense challenge of protecting millions of customers. As a Principal AI Scientist, you will lead foundational and applied research in artificial intelligence and machine learning, driving innovation from concept to production. You will work on a wide range of AI/ML challenges, including, but not limited to, model design, optimization, evaluation, and deployment, collaborating with world-class scientists and engineers to deliver robust, scalable, and responsible AI systems for security applications. Responsibilities <ul><li>Lead AI/ML Research: Drive the design, development, and analysis of novel AI and machine learning models and algorithms for security and enterprise-scale applications. </li><li>Innovate Across Domains: Explore and apply a broad spectrum of AI/ML techniques, including deep learning, Bayesian probabilistic modeling, classical ML, generative models, and hybrid approaches. </li><li>Experimentation & Evaluation: Design and execute experiments, simulations, and evaluations to validate models and system performance, ensuring measurable improvements. </li><li>Collaboration: Partner with engineering, product, and research teams to translate scientific advances into robust, scalable, and production-ready solutions. </li><li>Mentorship & Thought Leadership: Mentor other scientists and engineers, foster a culture of scientific rigor and curiosity, and contribute to the broader research community through publications, talks, or open-source contributions. </li><li>Responsible AI: Ensure privacy, security, and responsible AI guardrails are designed in from day one, coordinating safety reviews, compliance, and incident readiness. </li><li>Customer Impact: Engage with enterprise customers and field teams to co-design solutions, gather feedback, and iterate quickly based on real-world telemetry and outcomes. </li></ul> Qualifications Required:<ul><li>PhD in Computer Science, Mathematics, Statistics or related technical field AND advanced technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. </li><li>Solid working experience with Machine Learning (ML)/Artificial Intelligence (AI) systems (e.g., Large Language Models (LLM/LRM)/Generative AI (GenAI), retrieval/Retrieval-Augmented Generation (RAG), model serving, experimentation platforms, data pipelines) including establishing evaluation metrics and improving model quality. </li><li>Deep expertise in Bayesian inference, probabilistic modeling, and statistical learning.</li></ul>Other Requirements 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: <ul><li>Microsoft Cloud Background Check: <ul><li>This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul></li><li>Familiarity with security, LLMs, and real-world deployment constraints. </li><li>Experience with hierarchical modeling, group assignment via embeddings, and reward modeling under partial observability. </li><li>Hands-on coding ability in one or more languages (e.g., Python, C#, C++, Rust, JavaScript/TypeScript). </li><li>Experience shipping cloud services or platforms at scale (multi-tenant, high-throughput) with measurable customer and business impact. </li><li>Security domain expertise (e.g., threat detection/response, SIEM/SOAR, identity, endpoint, cloud security) and familiarity with analyst workflows. </li><li>Demonstrated success driving zero-to-one (0→1) initiatives from ambiguity to Minimum Viable Product (MVP) to General Availability (GA) and then to one-to-many (1→N) platform adoption across multiple product teams. What makes a great Principal AI Engineer here </li><li>Scientifically rigorous and pragmatic: You know when to use Bayesian models, when to apply classical ML, and how to hybridize them to meet business and technical objectives. </li><li>Evaluation-obsessed: You define the right metrics, build evaluation harnesses, and insist on measurable improvements before broad rollout. </li><li>Builder and integrator: You turn ambiguous ideas into Minimum Viable Products (MVPs), then lead platformization and integration into large, multi-tenant Microsoft Security products.</li><li>Customer-focused: You translate real-world workflows into crisp specs, land adoption, and iterate quickly based on feedback and telemetry. </li><li>Clear communicator and connector: You create clarity in ambiguity, align diverse stakeholders, and mentor others to raise the bar. </li></ul> This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. <hr> 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about <a href="https://careers.microsoft.com/v2/global/en/accessibility.html">requesting accommodations.</a>

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Senior Applied Scientist in Materials - AI for Science

2026-01-21

Netherlands, Noord-Holland, Amsterdam +2 more

3 days / week in-office

Overview Microsoft Research AI for Science is seeking a talented applied scientist to join our mission of accelerating scientific discovery through AI. In the materials team, we are building next generation foundational AI capabilities to accelerate the design of novel materials. You can learn more about our AI emulator <a href="https://www.microsoft.com/en-us/research/blog/mattersim-a-deep-learning-model-for-materials-under-real-world-conditions/">MatterSim</a> and generator <a href="https://www.microsoft.com/en-us/research/blog/mattergen-a-new-paradigm-of-materials-design-with-generative-ai/">MatterGen</a> in our blog.This role is an exceptional opportunity to bring our foundational AI capabilities towards real-world impact. You will work closely with experimental partners and apply our foundational AI models towards solving materials design problems. You will work with a highly collaborative, interdisciplinary, and diverse global team of researchers and engineers to bridge the gap between computation and experiments.Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.This post will be open until the position is filled. Responsibilities <ul style="margin-bottom: 0cm; margin-top: 0px;"><li style="margin: 0cm 0cm 0cm 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Work closely with experimental partners and translate foundational AI capabilities towards real-world impact.</li><li style="margin: 0cm 0cm 0cm 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Develop computational workflows to simulate properties relevant to the experimental partners.</li><li style="margin: 0cm 0cm 0cm 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Collaborate with experimental partners to validate computationally designed materials candidates in laboratories.</li><li style="margin: 0cm 0cm 0cm 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Learn to interpret experimental data and translate them to actionable insights for model development.</li><li style="margin: 0cm 0cm 8pt 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Prepare technical papers, presentations, and open-source releases of research code.</li></ul> Qualifications <h2 style="margin: 8pt 0cm 4pt; line-height: 115%; break-after: avoid; font-size: 16pt; font-family: 'Aptos Display', sans-serif; color: #0f4761; font-weight: normal;">Required qualifications:</h2><ul style="margin-bottom: 0cm; margin-top: 0px;"><li style="margin: 0cm 0cm 0cm 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">PhD in computational materials science, condensed matter physics, or related area, or comparable industry experience.</li><li style="margin: 0cm 0cm 0cm 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Experience in developing computational workflows to solve problems relevant to experimental materials discovery.</li><li style="margin: 0cm 0cm 0cm 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Proficiency in collaborative code development in Python on shared codebases.</li><li style="margin: 0cm 0cm 0cm 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Publication track record in relevant academic journals (npj computational materials, Nature Materials, PRB, PRL, etc.).</li><li style="margin: 0cm 0cm 8pt 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Ability to work in an interdisciplinary collaborative environment, through effective communication of technical concepts to non-experts from different technical backgrounds.</li></ul><h2 style="margin: 8pt 0cm 4pt; line-height: 115%; break-after: avoid; font-size: 16pt; font-family: 'Aptos Display', sans-serif; color: #0f4761; font-weight: normal;"> </h2><h2 style="margin: 8pt 0cm 4pt; line-height: 115%; break-after: avoid; font-size: 16pt; font-family: 'Aptos Display', sans-serif; color: #0f4761; font-weight: normal;">Preferred qualifications:</h2><ul style="margin-bottom: 0cm; margin-top: 0px;"><li style="margin: 0cm 0cm 0cm 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Strong expertise in developing density functional theory workflows for solving real-world experimental problems.</li><li style="margin: 0cm 0cm 8pt 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Experience in deeply collaborating with experimental groups and applying computational materials design approaches to discover novel materials.</li></ul> #Research #AI for Science This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. <hr> 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about <a href="https://careers.microsoft.com/v2/global/en/accessibility.html">requesting accommodations.</a>

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Senior Research Engineer in Materials - AI for Science

2026-01-21

Netherlands, Noord-Holland, Amsterdam +2 more

3 days / week in-office

Overview Microsoft Research AI for Science is seeking a talented research engineer to join our mission of accelerating scientific discovery through AI. In the materials team, we are building next generation foundational AI capabilities to accelerate the design of novel materials. You can learn more about our AI emulator <a href="https://www.microsoft.com/en-us/research/blog/mattersim-a-deep-learning-model-for-materials-under-real-world-conditions/">MatterSim</a> and generator <a href="https://www.microsoft.com/en-us/research/blog/mattergen-a-new-paradigm-of-materials-design-with-generative-ai/">MatterGen</a> in our blog.This role is an exceptional opportunity to lead our ambitious data generation efforts. You will develop scalable computational workflows and create the datasets for the training of large-scale foundational models. You will work with a highly collaborative, interdisciplinary, and diverse global team of researchers and engineers to define and create the next frontier datasets for materials science.Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.This post will be open until the position is filled. Responsibilities <ul style="margin-bottom: 0cm; margin-top: 0px;"><li style="margin: 0cm 0cm 0cm 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Design and generate novel datasets for training deep learning models for materials design.</li><li style="margin: 0cm 0cm 0cm 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Develop and deploy scalable DFT workflows for large scale data generation.</li><li style="margin: 0cm 0cm 0cm 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Manage and enhance data infrastructure to support scalable and efficient data generation workflows.</li><li style="margin: 0cm 0cm 0cm 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Validate the accuracy and physical correctness of DFT simulation results.</li><li style="margin: 0cm 0cm 8pt 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Prepare technical papers, presentations, and open-source releases of research code.</li></ul> Qualifications <h2 style="margin: 8pt 0cm 4pt; line-height: 115%; break-after: avoid; font-size: 16pt; font-family: 'Aptos Display', sans-serif; color: #0f4761; font-weight: normal;">Required qualifications:</h2><ul style="margin-bottom: 0cm; margin-top: 0px;"><li style="margin: 0cm 0cm 0cm 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">PhD in computational materials science, computational chemistry, condensed matter physics, machine learning, or related area, or comparable industry experience.</li><li style="margin: 0cm 0cm 0cm 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Experience in developing high-throughput DFT workflows and scaling them to tens of thousands of materials.</li><li style="margin: 0cm 0cm 0cm 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Proficiency in collaborative code development in Python on shared codebases.</li><li style="margin: 0cm 0cm 0cm 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Publication track record in relevant academic journals (npj computational materials, Nature Materials, PRB, PRL, etc.).</li><li style="margin: 0cm 0cm 8pt 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Ability to work in an interdisciplinary collaborative environment, through effective communication of technical concepts to non-experts from different technical backgrounds.</li></ul><h2 style="margin: 8pt 0cm 4pt; line-height: 115%; break-after: avoid; font-size: 16pt; font-family: 'Aptos Display', sans-serif; color: #0f4761; font-weight: normal;"> </h2><h2 style="margin: 8pt 0cm 4pt; line-height: 115%; break-after: avoid; font-size: 16pt; font-family: 'Aptos Display', sans-serif; color: #0f4761; font-weight: normal;">Preferred qualifications:</h2><ul style="margin-bottom: 0cm; margin-top: 0px;"><li style="margin: 0cm 0cm 0cm 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Practical experience with cloud platforms such as Azure, AWS, or Google Cloud.</li><li style="margin: 0cm 0cm 0cm 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Experience in designing and producing computational materials datasets.</li><li style="margin: 0cm 0cm 0cm 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Strong understanding of density functional theory and its application in simulating solid-state materials.</li><li style="margin: 0cm 0cm 8pt 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Strong understanding of sampling methods (e.g., molecular dynamics, Monte Carlo methods) and their application in simulating solid-state materials.</li></ul> #Research #AI for Science This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. <hr> 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about <a href="https://careers.microsoft.com/v2/global/en/accessibility.html">requesting accommodations.</a>

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