Currently tracking 250 active AI roles, down 24% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$331k (avg $195k).
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.
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 |
|---|---|---|
| Sr Research Scientist Senior Research Scientist to lead cutting-edge projects from concept to product, focusing on AI for Developers. This role involves building and training state-of-the-art models, applying and advancing techniques for leveraging LLMs in software engineering (including RAG and evaluation), and collaborating with product teams to run large-scale experiments and improve AI solutions. The primary focus is on AI for code completion and editing, retrieval-augmented systems for codebases, and efficient inference algorithms for code generation. | AgentServe | 8 |
| Senior Researcher - Machine Learning for Life Sciences - Microsoft Research Senior Researcher in Machine Learning for Life Sciences at Microsoft Research, focusing on advancing AI for biomedicine and life sciences discovery. The role involves designing, implementing, and evaluating novel AI methodologies, including post-training, inference-time optimization, interpretability, and experimental design. It also requires application-specific benchmarking, interpretation of deep learning models on biological data, and developing approaches for inference-time optimization. |
| Post-trainServe |
| 8 |
| Research Intern - Applied Speech Research Research Intern role focused on applied speech research within the Health and Life Sciences group at Microsoft. The internship involves leveraging AI and speech technologies to improve healthcare outcomes and operations, with a focus on speech recognition, synthesis, and understanding. The role is for PhD candidates in Computer Science or related STEM fields. | Post-train | 8 |
| Research Intern - Agentic Programming Research Intern role focused on agentic programming, involving building agentic workflows and ML models for software engineering tasks, within a PhD program context. | Agent | 8 |
| Member of Technical Staff - Principal Platform Engineer, Copilot Memory and Personalization This role focuses on building and scaling large-scale AI systems for Copilot memory and personalization, leveraging technologies like RAG, embeddings, retrieval, and ranking. The engineer will be responsible for designing and implementing these systems, collaborating across product groups, and ensuring system reliability and performance. | Agent | 8 |
| Senior Researcher - AI & Society - Microsoft Research Senior Researcher at Microsoft Research focusing on the intersection of AI systems and society, with an emphasis on sociotechnical approaches to AI evaluation, responsible AI in industry, and AI safety. The role involves interdisciplinary research, collaboration with industry teams, and a strong publication record. | Eval Gate | 8 |
| Research Intern - Applied Sciences Group Research intern to investigate Small Language Model (SLM) architectures and techniques, such as recurrent transformers and universal transformers, for maximizing LLM throughput with limited cache on hardware targets like SoCs, GPUs, or NPUs. Will involve model training at scale using Azure compute and collaboration with a multidisciplinary team. | Post-trainServe | 8 |
| Senior Researcher - GPU Performance Applied Research role focused on hardware/software codesign for GPU kernel optimizations to improve efficiency of Large Language Models and Generative AI inference. Involves designing, implementing, and optimizing GPU kernels, researching novel optimization techniques, and profiling performance. | Serve | 8 |
| Senior Applied Scientist Senior Applied Scientist to design and implement state-of-the-art machine learning models and algorithms for Microsoft Ads and Copilot, impacting millions of users and advertisers. Responsibilities include the full modeling lifecycle from data strategy to evaluation, focusing on scalable solutions for ad relevance and user experience. | Ship | 8 |
| 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 |
| Principal Software Engineer Principal Software Engineer to architect and implement an agentic auto-bidding platform for digital advertising, leveraging AI, machine learning, and large-scale distributed systems to optimize bids in real-time across Microsoft's marketplaces. The role involves defining requirements for AI-driven capabilities, building data validation frameworks, ensuring operational excellence, and exploring emerging AI techniques like multi-agent systems. | Agent | 8 |
| Principal Applied Scientist Principal Applied Scientist role focused on the future of AI for Developers, leading research projects from inception to product integration. The role involves building and training state-of-the-art models, applying LLMs to software engineering tasks (including RAG and evaluation), and collaborating with product teams to scale and improve AI projects. The role also involves creating new datasets and managing large-scale ML experiments. | ShipData | 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 |
| Principal Applied Scientist Principal Applied Scientist role focused on building and shipping AI agentic applications and predictive models for Viva Engage. The role involves end-to-end delivery of ML capabilities, including problem framing, data handling, modeling, evaluation, experimentation, deployment, and monitoring. Emphasis is on production-viable solutions, leveraging LLMs and generative AI for knowledge discovery, moderation, recommendations, and enhancing user experiences. The position requires hands-on coding in production environments and driving measurable product impact. | AgentServe | 8 |
| Senior AI Software Architect Senior AI Software Architect role focused on optimizing AI model performance and enablement on Maia hardware, involving PyTorch, quantization, parallelization, and inference pipelines. | Serve | 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 |
| Principal Software Engineer The Principal Software Engineer will work on an auto-bidding platform for digital advertising, leveraging AI, machine learning, and large-scale distributed systems. The role involves designing and building an agentic bidding platform that processes billions of auction events daily, optimizing bids in milliseconds. Responsibilities include defining requirements for agentic AI-driven bidding capabilities, architecting the next-generation platform, building data validation frameworks, driving operational excellence, developing experimentation frameworks, adopting new technologies, mentoring engineers, and exploring emerging AI techniques like multi-agent systems. | Agent | 8 |
| Member of Technical Staff, AI Networking - MAI Superintelligence Team This role focuses on designing, scaling, and optimizing high-performance networks for AI training and inference clusters. The engineer will work on the end-to-end networking architecture, from link-layer to fabric-wide systems, connecting thousands of GPUs. Responsibilities include benchmarking, profiling, debugging, and tuning AI workloads, engineering ultra-low-latency networks, and designing congestion-free transport mechanisms. The goal is to build networking systems that directly accelerate Microsoft's frontier AI models and support the development of advanced AI systems. | Serve | 8 |
| Senior Applied Scientists and Principal Applied Scientists (Multiple Positions) - Copilot Tuning Seeking Senior/Principal Applied Scientists to fine-tune LLMs on tenant data for M365 Copilot, creating task-specific agents and solutions. Role involves writing training pipelines, designing experiments, implementing inference solutions, and shipping models to customers. Focus on advancing LLM capabilities in an enterprise context. | Post-trainServe | 8 |
| Applied Scientist II / Senior Applied Scientist - Responsible AI (CoreAI) The role focuses on building and scaling Responsible AI service components, specifically involving supervised fine-tuning of LLMs with RLHF, conducting evaluations, and developing agent adversarial evaluations and safety mitigations. The goal is to enable customers to use AI responsibly and securely. | Post-trainAgent | 8 |
| Principal Machine Learning Engineer Principal Machine Learning Engineer for Health Futures team focused on accelerating training of generative models, advancing model capabilities, and optimizing training/evaluation/inference pipelines for health and life sciences applications. | Post-trainServe | 8 |
| Principal Applied Scientist (Multiple Positions) - MSAI Office of CTO This role focuses on designing and developing LLMs and underlying subsystems for enterprise AI products, specifically within Microsoft 365 Copilot. It involves tailoring models to product scenarios, collaborating with research and engineering teams, and building custom LLMs and architectures for GenAI applications. The role requires a strong understanding of AI/ML product cycles and the ability to deliver solutions from ideation to shipping. | ShipPost-train | 8 |
| Member of Technical Staff, Applied Scientist Applied Scientist role focused on building advanced Copilot features like Deep Research and Web artifact generation. Responsibilities include architecting and implementing LLM-powered systems, leading evaluation efforts, designing data pipelines for prompt engineering and fine-tuning, and training content classifiers. Requires experience with LLMs, production-quality Python code, and a Bachelor's degree with related experience. | AgentPost-train | 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, Compute Orchestration & Scheduling - MAI Superintelligence Team This role focuses on building and optimizing the compute orchestration and scheduling layer for large-scale AI model pretraining, utilizing Kubernetes and Ray. It involves workload placement, scaling, reliability, and developer experience, with a direct impact on AI model development and deployment infrastructure. | PretrainServe | 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 |
| Member of Technical Staff - Post Training - MAI Superintelligence Team This role focuses on the post-training of large language models (LLMs) to improve their capabilities in areas like reasoning, instruction following, math, code, and tool use. The responsibilities include data collection, building evaluations, and applying advanced reward modeling and RL techniques. The goal is to advance the state-of-the-art in LLM performance and contribute to the development of superintelligent AI systems. | Post-train | 8 |
| Member of Technical Staff, Developer Experience - MAI Superintelligence Team This role focuses on building and optimizing the infrastructure and developer experience for large-scale ML model training and inference, specifically for Microsoft's AI assistant, Copilot. The responsibilities include improving CI/CD pipelines, developing training tools, enhancing cloud infrastructure, and managing model hosting systems for inference and data generation. The role aims to accelerate iteration and improve the quality of AI models powering innovative products. | ServeData | 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 |
| Member of Technical Staff, LLM Inference - MAI Superintelligence Team This role focuses on building and maintaining tools and systems for LLM inference, optimizing compute efficiency, and enabling researchers to run models for various tasks. It involves working with inference frameworks, GPU kernel programming, and distributed systems to improve model performance. | 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 |
| Principal Applied Scientist This role focuses on building and improving AI agent platforms, specifically the Agent Performance team within Azure AI Platform. The core responsibility is to integrate scientific advancements, particularly RL techniques like RLHF, into production-ready features for AI agents. The role involves monitoring, evaluating, optimizing, and enabling self-improvement of these agents, bridging the gap between research and product. | AgentPost-train | 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 |
| Senior Software Engineer Senior Software Engineer role focused on building and integrating customer-facing, high-performance, low-latency, and high-availability AI services within the Responsible AI group at Microsoft. The role involves AI-native development, coding, system design, and ensuring engineering excellence for AI services, with a strong emphasis on reliability, supportability, and compliance. | ShipServe | 7 |
| Software Engineer 2 Software Engineer to develop AI software for training and deploying advanced AI models, focusing on system software, developer tools, and optimizing large-scale training and inference on novel AI hardware and accelerators. | ServePost-train | 7 |
| 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 |
| Forward Deployed Engineer This role involves partnering directly with customers to translate real-world problems into production-grade AI solutions using cutting-edge AI innovation. The Forward Deployed Engineer will design, develop, and deploy sophisticated AI-powered systems at scale, engineer data pipelines, build custom applications, and deploy scalable workflows. The role also involves monitoring, refining, and driving adoption of built solutions, and sharing field insights to influence AI platform direction. Requires a strong balance of AI understanding and practical software engineering experience, with a focus on generative AI and ML/LLM-based solutions in production. | Agent | 7 |
| Principal Data Scientist Principal Data Scientist role focused on developing and deploying AI and cloud-based solutions for enterprise customers, working in a cross-functional team to address customer challenges and build innovative solutions. | Ship | 7 |
| Principal Applied Scientist, Experimentation Platform - CoreAI This role focuses on building and scaling an experimentation platform for AI products, enabling teams to evaluate, refine, and safely deploy new AI innovations. It involves pushing the envelope on online experimentation methodology and agent evaluations, collaborating with various engineering and science teams, and translating applied research into production-quality features. | Eval GateAgent | 7 |
| Senior/Principal Software Engineer Senior/Principal Software Engineer role focused on building and improving intelligent systems, specifically agents and evaluation frameworks, within the Microsoft Security organization. The role involves leading complex technical problem-solving, partnering with customers, translating customer needs into scalable product capabilities, and driving experimentation and learning loops for product improvement. Emphasis on end-to-end ownership, engineering standards, and mentorship. | AgentEval Gate | 7 |
| Senior Security Researcher This role involves threat hunting to detect, investigate, and respond to advanced attacks using Microsoft 365 Defender. It requires exploring large datasets to uncover novel attack techniques, generating custom alerts, and collaborating with data science and threat research teams to develop cloud-based detections. The role also involves building hunting tools and automations. | Data | 7 |
| Senior Data Scientist Senior Data Scientist role focused on applying machine learning and AI agents to sales compensation and incentive plans. The role involves designing, developing, and implementing ML solutions, building data pipelines, and leveraging Microsoft's AI/ML stack to drive insights and improve sales operations. The position requires strong business acumen in sales compensation and the ability to translate business context into analytical frameworks. | Agent | 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 |
| Engineering Manager Engineering Manager to lead a team building and operating the cloud brain of Microsoft Defender's real-time protection services. This involves managing ML models, large-scale data platforms, and threat intelligence pipelines that operate at planetary scale with low-latency and high-availability requirements for over a billion users. | Serve | 7 |
| Senior Software Engineer Senior Software Engineer to join the Microsoft Discovery team, working on an AI-driven platform that transforms the scientific research process using AI agents and high-performance computing. The role involves designing and building scalable, distributed systems, driving features from ideation to rollout, mentoring engineers, and improving engineering velocity with AI-enabled enhancements. Collaboration with Microsoft Research and platform teams is key, along with applying site-reliability engineering practices. | Agent | 7 |