Microsoft has 521 active AI-related job listings. The majority of these roles are focused on agents, representing 37% of the total, followed by application and serving infrastructure. Engineering is the most frequent function, with a significant number of openings, and the United States is the primary hiring country. Frequent tech tags include agent orchestration, model serving, and LLM observability, suggesting a focus on operationalizing AI models. Over the last 30 days, Microsoft has added 280 new AI roles, a 157% increase compared to the previous 30-day period.
Currently tracking 250 active AI roles, down 24% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$331k (avg $195k).
Microsoft currently has 343 active AI-related roles in our index. The most common open titles are: Principal Software Engineer (19), Senior Software Engineer (19), Software Engineer II (8), Principal Applied Scientist (7), Principal Data Scientist (4). Most positions are in Engineering and Research.
Microsoft's active AI hiring is concentrated in: agents (36%), application (21%), serving infrastructure (19%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Microsoft is hiring AI talent in: United States (308 roles), Canada (15 roles), Japan (8 roles), United Kingdom (7 roles).
Job postings at Microsoft most frequently mention: Computer Architecture, Python, Machine Learning, C#, C++.
In the past 30 days, Microsoft has posted 227 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Applied Scientist - Core AI Speech Research role focused on developing and industrializing novel speech algorithms, including integrating speech with LLMs for multimodal modeling, and applying these models to real products with continuous monitoring and evaluation. | Post-train | 8 |
| Research Intern - AI Evaluation and Alignment Research Intern role focused on advancing the quality, reliability, and evaluation of LLM-based systems by exploring new ML methods for AI assessment and alignment. Responsibilities include co-developing research projects, implementing ML approaches (training/fine-tuning), and developing evaluation frameworks. Requires PhD enrollment in a technical field and hands-on LLM experience. | Eval GatePost-train |
| 8 |
| Research Intern - Security, Privacy and AI Research intern to conduct threat modeling for LLM-enabled agentic designs, develop formal security frameworks, and produce security proofs and empirical validations. Deliverable within 12 weeks. | AgentEval Gate | 8 |
| Research Intern - Microsoft Teams (PhD) Research intern role at Microsoft Teams focusing on AI-driven innovation in collaboration and communication technologies. Projects may involve AI agents, conversation intelligence, meeting efficiency, and user experience, with a strong emphasis on privacy, security, and accessibility. The role involves applying research methods to real-world challenges in digital collaboration. | AgentPost-train | 8 |
| Member of Technical Staff - Data Research Engineer - MAI Superintelligence Team Seeking Data Research Engineers to join the Multimodal team, focusing on designing and curating high-quality datasets for next-generation foundation models across vision, language, and audio. The role involves developing data collection strategies, improving dataset quality, analyzing data-driven model behaviors, and building tools for dataset auditing, all within the context of responsible AI practices. | Data | 8 |
| Research Intern - AI/ML Numerics & Efficiency Research Intern role focusing on ML systems, numeric precision, data types, and compute technologies for AI workloads at Azure scale. The role involves investigating model efficiency through low-precision formats, quantization, ML kernel development, and benchmarking. It aims to inform decisions on compute platforms, acceleration strategies, and system-level optimizations for training and inference of large-scale models. | Serve | 8 |
| Research Intern - AI Systems & Architecture Research internship focused on AI systems and architecture, investigating performance modeling, architectural analysis, and emerging inference mechanisms for large-scale AI workloads. The role involves analyzing hardware, software, and model interactions, developing performance models, and prototyping new inference techniques. | Serve | 8 |
| Research Intern - STAC, NYC (Sociotechnical Alignment Center) Research Intern position at Microsoft's Sociotechnical Alignment Center (STAC) focusing on evaluating AI systems, particularly generative ones. The role involves applying measurement theory from social sciences and statistics to assess risks, capabilities, and performance. Collaboration with Fairness, Accountability, Transparency, and Ethics in AI (FATE) researchers is expected. The internship emphasizes theoretical and methodological approaches to advance AI system evaluation. | Eval Gate | 8 |
| Research Intern - LLM Acceleration Research intern focused on accelerating large language models (LLMs) by optimizing performance on custom architectures, involving computer architecture and parallel programming. | Serve | 8 |
| Research Intern - Computer Vision and Deep Learning Research Intern position focused on computer vision and deep learning to improve user understanding of the environment and human-computer interactions. Involves analyzing multimodal sensor data and pushing the state of the art in the field. | Post-train | 8 |
| Research Intern - Systems For Efficient AI Research intern focused on optimizing AI inference systems, including LLM inference, KV caching, request scheduling, and GPU orchestration, to improve latency, throughput, and cost-efficiency. | Serve | 8 |
| Research Intern - ML and Computational Biology for the Immune System Research Intern position at Microsoft Health Futures focusing on applying ML and statistical modeling to understand the human immune system for precision medicine. The role involves building large-scale models of immune responses and immune cells, integrating techniques like representation learning, causal inference, and generative modeling with biological insights. | Data | 8 |
| Research Intern - Machine Learning for Biology and Healthcare Research Intern position focused on applying machine learning techniques to biology and healthcare problems, including generative models, computational immunology, and statistical genetics. | Post-train | 8 |
| Applied Sciences INTERN Internship role focused on analyzing and improving advanced algorithms, implementing AI prototypes, and preparing data for machine learning purposes. The role involves working with large-scale datasets and contributing to the creation of intelligent solutions. | Data | 7 |
| Principal Researcher, Office Product Group Principal Researcher role within the Office Product Group at Microsoft, focusing on advancing AI-powered experiences embedded in Microsoft 365 applications. The role involves designing, developing, evaluating, and deploying AI systems that can reason and act across tools and documents, with a strong emphasis on scaling these capabilities to a large user base. Key responsibilities include developing frameworks for AI component coordination, improving code generation, implementing fine-tuning and post-training for LLMs, designing evaluation strategies for real-world workflows, and collaborating to translate research into production-ready features. | AgentPost-train | 7 |
| Applied Science: Microsoft AI Internship Opportunities - Redmond This internship focuses on applying AI/ML expertise to real-world product scenarios within Microsoft's AI Content and Commerce, Search Fundamentals, and Search Place teams. Interns will work on problems in search, personalization, NLP, computer vision, and recommendation systems, translating research into production-ready solutions for products like Copilot. | Ship | 7 |
| Research Science: Internship opportunities This is an internship opportunity for a Research Scientist focused on conducting research and leading collaborations to advance the state-of-the-art in computer science and engineering, with a focus on machine intelligence and machine learning applications. The role involves analyzing algorithms, implementing prototypes, and developing solutions for large-scale problems, contributing to academic knowledge and potentially influencing future product development. | Pretrain | 7 |
| Principal Applied Scientist This role focuses on building intelligence for the advertising marketplace, understanding user behavior, measuring impact, and optimizing outcomes. It involves developing large-scale learning systems for intent inference and causal effects from noisy data, influencing ranking, bidding, pricing, and budget allocation. The role requires defining and driving the scientific and technical strategy for data-driven attribution and causal measurement, establishing methodologies for incrementality estimation, counterfactual learning, and bias correction, and leading the production adoption of relevant frameworks. The ideal candidate will have deep expertise in causal inference and a track record of delivering measurable business impact with ML systems. | Ship | 7 |
| Senior Security Researcher Senior Security Researcher role focused on offensive security research, adversary emulation, and malware development. The role will leverage AI-enabled and agentic systems, including LLM-driven workflows, to scale attack development, automation, and simulation fidelity within a security context. The goal is to emulate modern adversaries and improve defensive capabilities. | Agent | 7 |
| Principal Security Researcher Principal Security Researcher focused on designing and executing advanced adversary simulations using AI-enabled and agentic systems. The role involves evaluating AI-driven detections and defenses, translating attacker tradecraft into actionable insights, and contributing to the development of AI-driven security research workflows. | Agent | 7 |
| Principal Security Researcher Principal Security Researcher (Red Team) at Microsoft, focused on using AI and agentic systems to scale offensive security research, adversary emulation, and tooling development. The role involves designing and executing complex attack simulations, developing advanced offensive tools, and evaluating defensive systems, with a strong emphasis on AI-enabled automation and adaptive attack paths. | Agent | 7 |
| Senior Security Researcher Senior Security Researcher role focused on offensive security research using AI-enabled and agentic systems to emulate real-world cyberattacks. The role involves designing and executing adversary simulations, developing offensive tooling, conducting malware research, and leveraging threat intelligence. A key aspect is utilizing AI and LLM-driven workflows to scale attack development, automation, and simulation fidelity, while partnering with blue teams to improve detections and defensive capabilities. | Agent | 7 |
| Principal Research Manager Principal Research Manager to lead AI research strategy and execution for Microsoft's Commercial Engineering & AI (CEAI) division, focusing on transforming commercial business with AI-native engineering and intelligent systems. The role involves managing a research team, driving AI UX innovation, and ensuring research directly informs product development and delivers measurable impact for users and the business. | Ship | 7 |
| Research Intern - Intelligent Quantum Systems Architecture Research Intern role focused on exploring the intersection of quantum applications and quantum system architecture using AI-driven methods and machine learning for advanced resource estimation. The goal is to co-design more efficient quantum systems aligned with real-world application workloads, from application intent to hardware realization. | Data | 7 |
| Security Research Intern Security Research Intern role focused on analyzing real-world nation state attacks to develop autonomous detection and disruption logic using AI-assisted tooling and agentic flows. The role involves investigating threats, reasoning over large-scale datasets, and contributing to the implementation of automated capabilities to protect users. | Agent | 7 |
| Applied Sciences PhD This role focuses on advancing the state-of-the-art in AI/ML research and driving innovation from theory into reality by blending research and development techniques. The individual will work on the design, development, execution, and implementation of technology research projects, with a focus on technology transfer into products and services. The role requires a PhD student in a related field and involves understanding research literature, preparing data for analysis, and contributing to patents and white papers. | Post-train | 7 |
| PHD Research Sciences INTERN PhD Intern role focused on applying advanced machine learning concepts and data analysis to real-world problems, developing prototypes, and contributing to research in machine intelligence. | Data | 7 |
| Research Intern - Audio and Acoustics Research intern position focusing on generative audio, AI for audio, speech enhancement, spatial audio, and audio devices. The role involves working on well-defined projects, collaborating with researchers, and potentially publishing findings. Requires enrollment in a PhD program and experience in audio signal processing. AI/ML experience is strongly preferred. | Post-train | 7 |
| Research Intern - Inference Economics and Human Agency Research intern to conduct empirical research on how human oversight shapes the economic return of AI-assisted work. This includes designing controlled experiments, developing session-level evaluation frameworks that link inference cost to output quality and human effort, and analyzing how interface design choices affect user confidence, reliance, and decision quality during AI-assisted tasks. The role involves collaboration with the MADE team and preparing a submission-ready research manuscript. | Eval GateAgent | 7 |
| Principal Researcher - Systems & Networking - Microsoft Research 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. | Serve | 7 |
| Principal Researcher - Cloud and AI Infrastructure - Microsoft Research 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. | Serve | 7 |
| Research Sciences INTERN 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. | Post-trainServe | 7 |
| Principal Researcher - AI & Society - Microsoft Research 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. | Eval Gate | 7 |
| Senior Researcher - Security - Microsoft Research 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. | DataPost-train | 7 |
| Research Intern - AI Systems and Tools 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. | Serve | 7 |
| Research Intern - Multi-Modal Sensing & Secure AI Devices 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. | DataAgent | 7 |
| Member of Technical Staff, Data Research Engineer - MAI Superintelligence Team 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. | Data | 7 |
| PostDoc Researcher-FATE (Fairness, Accountability, Transparency, and Ethics in AI-Microsoft Research 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. | Eval Gate | 7 |
| Research Intern - Human-AI Interaction Research and Design (Health 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. | Agent | 7 |
| Senior Researcher - AI and Systems Reliability - Microsoft Research 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. | Post-train | 7 |
| Research Intern - AI System Architecture Modeling and Performance 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. | Serve | 7 |
| Research Intern - Office of the Chief Scientific Officer 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. | Pretrain | 7 |
| Research Intern - AI Hardware 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. | Serve | 7 |
| Research Intern - AI Frameworks (Network Systems and Tools) 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. | Serve | 7 |
| Research Intern - MSR Inclusive Futures Team 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. | Post-train | 7 |
| Research Intern - Technology for Religious Empowerment 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. | Post-trainAgent | 7 |
| Research Intern - Medical Image Reconstruction 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. | Data | 7 |
| Senior Researcher - Systems and Networking, Microsoft Research 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. | Serve | 7 |
| Senior Researcher - Cloud and AI Infrastructure, Microsoft Research 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. | Pretrain | 7 |
| Research Intern - Hardware/Software Codesign 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. | Serve | 7 |