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 |
|---|---|---|
| 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 |
| 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 |
| 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 - 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 |
| Sr. Data Scientist Senior Data Scientist for Windows at Microsoft Hyderabad. Focuses on using advanced analytics, modeling, and data science to inform decision-making, optimize product performance, and maximize business impact for Windows products. Key responsibilities include improving search relevance, fine-tuning foundational models, driving growth through predictive insights, and leading initiatives in evaluation, corpus creation, metric design, and dataset development for diverse modalities. The role involves analyzing data, designing experiments, and deriving insights to influence product development and business strategy. | Post-trainAgent | 7 |
| Senior Data Scientist Senior Data Scientist role focused on developing and deploying AI/ML models for enterprise customers, involving data acquisition, model evaluation, and operationalization at scale. The role emphasizes customer collaboration and building impactful solution patterns. | Post-train | 7 |
| Data Scientist 2 Data Scientist role focused on applying machine learning and statistical analysis to develop, train, optimize, and evaluate models for enterprise customers. The role involves data preparation, model evaluation, and integrating these models into customer systems, with a strong emphasis on Responsible AI. | Post-train | 7 |
| Applied Data Scientist II This role focuses on developing and operationalizing machine learning models for threat detection within Microsoft's security ecosystem. It involves building supervised and unsupervised models, applying graph-focused ML techniques, and analyzing large security datasets. The role also includes data engineering for feature pipelines and running experiments to improve detection quality, with a strong emphasis on translating research into production-ready solutions. | Post-trainData | 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 |
| 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 |
| Principal PM Manager This Principal PM Manager role at Microsoft AI focuses on managing a team to design, evaluate, and improve AI systems' interactions with tools, APIs, and users. The role involves prompt engineering, policy design, and safety, ensuring AI workflows are accurate, compliant, and user-friendly. Responsibilities include creating policies, designing/refining prompts, evaluating AI responses, and improving model quality and safety for Microsoft AI Monetization. | Post-trainAgent | 7 |
| Principal Software Engineering Manager This role is for a Principal Software Engineering Manager within Microsoft's AI Platform organization, specifically on the AI Foundry OSS Model Customization Team. The team focuses on enabling data scientists and developers to build, train, deploy, and manage machine learning models, with a specialization in customizing open-source models. The manager will lead and develop a team of engineers, focusing on scalable services, customer needs, and career development, while collaborating with external partners and internal Microsoft teams. A strong background in Generative AI, ML, deep learning, NLP, transformer models, and cloud platforms is required. | Post-train | 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 |
| 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 - 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 - Gray Systems Lab (GSL) 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. | Post-trainAgent | 7 |