Microsoft

Principal Researcher in Systems and Networking with a focus on AI-driven methods for systems innovation, performance, efficiency, and scalability. The role involves developing new methodologies, collaborating with cross-functional teams, and publishing research findings.

Principal Researcher at Microsoft Research focused on advancing cloud and AI infrastructure architecture, and chip design using AI technologies. The role involves investigating hardware trends, designing and optimizing hardware components, conducting simulations, developing prototypes, and collaborating with cross-functional teams to integrate intelligent systems across computing layers.

Research intern to conduct research and lead collaborations on incorporating AI capabilities into Azure SQL Database platform. Focus on advancing state-of-the-art in machine intelligence and machine learning applications, implementing prototypes, and developing solutions for large-scale problems. Experience with LLMs and ML techniques is preferred.

Principal Researcher at Microsoft Research focusing on the intersection of AI and society, with an emphasis on sociotechnical approaches to AI evaluation, measurement, and responsible AI in industry. The role involves interdisciplinary research, collaboration with engineering and policy teams, and a strong publication record.

This role focuses on researching and developing next-generation intrusion detection systems by leveraging large-scale security event logs and applying advanced data processing and machine learning techniques. The goal is to achieve accurate and rapid detection of sophisticated attacks.

Research Intern role focused on developing AI systems and tools, particularly developer tools for Microsoft's custom Maia AI hardware. This involves working on profilers, debuggers, performance analysis tools, and simulators to enable efficient execution of AI models on AI accelerators. The role collaborates with AI researchers, hardware teams, and AI compilers teams, and involves work on device firmware, host software, and integration with AI/ML frameworks.

Research intern to work on multi-modal sensing, device security, and authentication, with opportunities to influence next-generation device design. The role involves prototyping on mobile OS, Android development, and performing preliminary user evaluations. Familiarity with speech interfaces to agents and LLMs is a plus.

Seeking Data Research Engineers to join the Multimodal team, focusing on building next-generation foundation models. The role involves exploring, designing, and building high-quality multimodal datasets (vision, language, audio) for training and evaluation, collaborating with scientists and engineers, and developing scalable data pipelines. Responsibilities include data analysis, quality assessment, building tools for auditing, and ensuring datasets meet responsible AI practices.

Postdoctoral Researcher position at Microsoft Research NYC focusing on Fairness, Accountability, Transparency, and Ethics in AI (FATE). The role involves pursuing an independent research agenda, collaborating with researchers, and contributing to ongoing projects related to the social implications of machine learning and AI. Research areas include AI evaluation, responsible AI in industry, AI law and policy, transparency, human-AI interaction, and various social impacts of AI.

Research Intern position focused on Human-AI Interaction in Healthcare, applying AI/ML and user-centered design to develop novel solutions for precision medicine. The role involves foundational discovery research, building interactive prototypes, and exploring generative UI and multimodal AI with clinical data.

Senior Researcher at Microsoft Research focusing on AI and Systems Reliability. The role involves defining a novel research agenda in areas like distributed systems, formal methods, ML for system reliability, and reliability of ML systems, with the goal of bringing formal rigor and reliability guarantees to AI-powered platforms.

Research Intern role focused on AI system architecture modeling and performance within Azure's hyperscale infrastructure. The intern will evaluate hardware/software co-design opportunities, optimize CPU, GPU, and networking infrastructure for AI accelerators, and develop methodologies for performance analysis and architectural idea evaluation.

Research Intern position at Microsoft's Office of the Chief Scientific Officer, focusing on strategy and opportunities at the frontiers of science, engineering, and responsible AI. The role involves collaborating with world-class researchers on complex challenges in diverse fields, including AI, biology, biomedicine, and the societal influences of AI. Interns will contribute to research and development strides, present findings, and potentially publish peer-reviewed work.

Research Intern role focused on AI Hardware, specifically on chip architectures for efficient AI serving and inference systems. The role involves research, analysis, documentation, and innovation in collaboration with researchers and engineers.

Research intern focused on next-generation AI systems, specifically exploring disaggregated inference, memory-architecture, and interconnect technologies for LLM serving, with a focus on request scheduling and KV caching optimizations. The role involves investigating and evaluating disaggregated KV cache architectures and building a P2P service KV cache sharing architecture.

Research Intern position at Microsoft Research's Inclusive Futures group, focusing on needs-focused research for underserved individuals. Requires a PhD student in a relevant STEM field with experience in HCI, AI, Accessibility, or related areas. The role involves conducting original research, collaborating with researchers, and potentially publishing findings.

Research Intern position focusing on adapting and designing AI systems for religious communities, involving model evaluations, product design, and responsible AI practices. The role requires a PhD student in a STEM field with an interest in religion and experience with emerging technologies like Generative AI and Agentic Systems.

Research Intern position focused on applying AI to enhance medical image reconstruction techniques for MRI and CT scanners, aiming to improve image acquisition speed and diagnostic quality. The role involves working at the intersection of MRI physics, signal processing, image reconstruction, and AI within the Microsoft Health Futures team.

Senior Researcher in Systems and Networking at Microsoft Research, focusing on AI-driven methods for system innovation, performance, efficiency, and scalability. The role involves developing and implementing new methodologies, collaborating with cross-functional teams, and publishing research findings. Requires a Doctorate and background in systems/networking with knowledge of ML systems, databases, and networking technologies, including Agent Systems and Vector Databases.

Senior Researcher in Cloud and AI Infrastructure at Microsoft Research, focusing on advancing AI infrastructure architecture and chip design using AI technologies. The role involves investigating hardware trends, optimizing components, conducting simulations, developing prototypes, and collaborating with cross-functional teams to solve complex real-world challenges at the intersection of AI, human interaction, and environmental context.

Research intern focused on advancing the efficiency of AI systems through hardware/software codesign, exploring novel designs and optimizations across the AI stack, including models, frameworks, cloud infrastructure, and hardware. The role involves practical implementation skills for efficient, scalable computational kernels and aims to contribute to mid- and long-term product innovations.

Research Intern role focused on AI Hardware, specifically researching chip architectures for efficient AI serving and inference systems. Collaborates with researchers to increase performance and efficiency of cutting-edge inference systems.

Research Intern role focused on next-generation cloud and AI systems, with a focus on improving efficiency, reliability, and usability of Microsoft's online services and datacenters. Projects include efficient GPU/LLM deployments, AIOps, and serverless computing. The role involves research, prototyping, evaluation, and potential publication.

Research intern role focusing on machine learning for systems, reinforcement learning, natural language-to-query, and agentic workflows within Azure Data's Gray Systems Lab. The internship involves research and development for databases, big-data, and cloud systems, with potential impact on production systems and publications.

Research intern role focused on pioneering technologies for AI/ML workloads, specifically improving efficiency, security, and robustness of GPU memory systems, agentic AI systems, and software architecture for hardware accelerators. The role involves fast-paced execution, implementation, and evaluation on Azure platforms, with a focus on systems and AI.

Research intern role focused on applying LLM and Agentic technology to improve the reliability of large-scale cloud and AI systems. The role involves analyzing production data, designing and building novel tools for monitoring and troubleshooting, and validating solutions on real Microsoft services.

Research Intern role in the RiSE group focusing on ML Systems, AI workloads, agentic workflows, and ML models for software engineering tasks. Requires PhD program enrollment and expertise in related STEM fields, with preferred qualifications in ML systems, AI, and software engineering.

This is a 24-month fixed-term post-doctoral Residency within the Future AI Infrastructure group at Microsoft Research Cambridge (UK), contributing to the Materials for the Cloud project. The role sits at the interface of machine-learning-accelerated materials discovery and experimental materials science, focused on the synthesis and characterisation of novel thin-film materials for future AI cloud infrastructure.

Principal Researcher in Data Systems at Microsoft Research, focusing on query execution, data storage, resource management, data discovery, and data preparation. The role involves leveraging AI/ML for data management challenges and contributing to Microsoft products. Requires a Doctorate and a strong publication record.

Senior Researcher at Microsoft Research focusing on advancing software engineering through rigorous research, integrating AI and agent technologies into programming languages, testing, and automated reasoning. The role involves driving high-impact research, developing new ideas, building state-of-the-art systems, and preparing technical papers and presentations.

Research intern role focused on optimizing storage systems for AI workloads, including training, checkpointing, and inferencing. The role involves working with leading-edge AI customers to gain insights into their needs.

Senior Researcher in Data Systems at Microsoft Research focusing on query execution, data storage, resource management, data discovery, and data preparation. Special interest in leveraging AI/ML for data management challenges. Past research has influenced products like SQL Server and Azure SQL Database. Requires a Doctorate or equivalent experience and a track record of research accomplishments, including major conference publications.

This is a Research Intern position within Microsoft's Office of the Chief Scientific Officer, focusing on strategy and opportunities at the frontiers of science, engineering, and responsible AI. The intern will collaborate with researchers on various projects, contributing to research and development strides in areas like AI, biology, and responsible AI, with a focus on societal influences.

Research Intern position focused on computational social science, exploring the impact of AI-based tools at individual and societal levels. This includes research on AI-augmented human cognition, decision-making, and the economics of agentic markets. The role involves leveraging digital data and designing experiments to understand human behavior and the implications of AI.

Research intern to design and develop tools for AI datacenter network observability, focusing on high-performance tracing and analysis systems for packet-level behavior at high speeds. The role involves prototyping solutions on real hardware and collaborating with engineers to improve reliability and explainability of AI intra-datacenter networking.

Research intern focused on data systems, with potential to leverage AI/ML for data management challenges. The role involves working with researchers on innovative solutions and contributing to publications.

Research Intern position in Microsoft's Networking Research Group, focusing on networked systems including AI's role in networking challenges. The internship involves contributing to research agendas, collaborating with researchers, and potentially working on systems, sensing, security, AI, edge computing, optimization, and probability theory.

Research internship focused on designing and simulating novel light source concepts for next-generation optical transmitters to improve data centre infrastructure for AI-scale systems. Involves lab-based experimental evaluation.

Microsoft M365 Research is offering research internships for students pursuing Bachelor's or Master's degrees in Computer Science or related fields. The program provides exposure to world-class research and technology, with interns paired with mentors and expected to collaborate, present findings, and contribute to the research community. Applications are accepted on an ongoing basis.

This role focuses on developing applications for fault-tolerant quantum computers in areas like chemistry, cryptography, and simulation of physical systems. It involves creating and refining quantum algorithms, designing cryptographic schemes, validating models, and conducting large-scale simulations. The role requires a strong background in physics or engineering and experience in industry or R&D, with a focus on mathematical research and experimentation for new quantum algorithms.

Research Intern position focused on quantum computing, specifically the implementation of error correction codes for quantum resource estimation. Responsibilities include generating and exploring codes, computing distances, and setting up experiments for logical error rates. The role utilizes and contributes to open-source quantum computing libraries.

This is a research internship focused on understanding socio-technical workflows within teams, particularly how they adopt and use emerging tools for collaboration and work management. The role involves observing real-world practices, identifying patterns, and translating these observations into practical insights and recommendations for improving tools and workflows. It is not directly involved in building or shipping AI/ML models.

This role is for a Senior Quantum Measurement Engineer focused on the research and development of scalable quantum computing systems. The position involves developing and running qubit experiments, performing advanced measurement techniques, and identifying opportunities to streamline and automate quantum measurement processes. While the role mentions leveraging AI tools and designing AI agents for assistance, the core of the job is in experimental quantum physics and engineering, not in building or shipping AI models or products as the primary deliverable.

Research Intern role focused on applied studies of power system behavior under extreme conditions, analyzing system responses, assessing operational risk, and studying the impact of external drivers on grid reliability using existing models. This is an application-focused role involving simulations and data analysis.

This role is for early-career candidates to start their career by building real-world technology that reaches millions. You will work in a collaborative environment where you can learn quickly and contribute to real projects from the start. As an Applied Scientist, you’ll help bring new ideas and research into production. You’ll work alongside experienced researchers and engineers to turn concepts into working solutions, applying scientific thinking to practical problems.

This role focuses on developing applications and algorithms for fault-tolerant quantum computers, designing and applying toolsets for modeling quantum applications, and optimizing quantum circuits. It involves collaboration with quantum computing experts and driving innovation in quantum applications and development platforms.

Research intern position focusing on cryptography and its applications, specifically for Caliptra. Responsibilities include research, design, and development of cryptos, FW-HW interface simplification, performance optimization, and side-channel countermeasure implementation and validation. Requires a PhD in Computer Engineering or related STEM field with a background in cryptography and hardware design.

Seeking a Principal Quantum Engineer to drive foundational advances in characterizing, understanding, and optimizing complex quantum-device systems, focusing on qubit interactions, disorder phenomena, and developing diagnostic and mitigation strategies for robust operation at scale. This role involves translating physics insights into practical corrective procedures and architectural recommendations for topological quantum processors, and guiding the interpretation of advanced materials and device measurements.