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 |
|---|---|---|
| Member of Technical Staff, Microsoft Robotics (Spatial AI) The Member of Technical Staff, Microsoft Robotics (Spatial AI) role focuses on designing, developing, and testing physical world models for robots to understand, predict, and reason about 3D physical environments. This involves building models for spatial structure, object relationships, physics dynamics, and scene semantics, enabling robots with physical intuition for manipulation, navigation, and interaction planning. The role contributes to world modeling, spatial AI, and foundation models for robotics, predicting physical world changes in response to robot actions. Responsibilities include designing and evaluating world models, building training data pipelines, and collaborating with researchers and engineers. | DataAgent | 9 |
| Member of Technical Staff - Pretraining Text Data Seeking engineers and researchers to join the Pretraining Text Data team to build the next generation of foundation large language models. The role involves designing and curating high-quality text datasets, developing novel data collection strategies, improving dataset quality, understanding data-driven model behaviors, and aligning datasets with ethical values. Responsibilities include creating datasets for training and evaluation, developing scalable data pipelines, analyzing datasets, building tools for auditing, and collaborating with safety and ethics teams. |
| Data |
| 9 |
| AI for Science Postdoctoral Researcher - Biomolecular AI & Experimental Data Integration Postdoctoral Researcher focused on integrating experimental biological data with machine learning models for biomolecular simulation and drug discovery. The role involves designing and scaling experimental datasets, developing methods to connect ML models with experimental observables, and creating closed-loop workflows between models and experiments. | Data | 8 |
| Member of Technical Staff, Microsoft Robotics (Robotics Simulation) This role focuses on designing, developing, and optimizing physics-based simulation frameworks for robotics applications. It involves creating high-fidelity simulation environments for robot kinematics, dynamics, sensors, and actuators, enabling reinforcement learning training, closed-loop policy evaluation, synthetic data generation, and sim-to-real transfer. The role bridges advanced physics simulation, robotics autonomy, and ML infrastructure to accelerate the development and deployment of physically grounded AI. | DataAgent | 8 |
| Principal AI Software Architect Principal AI Software Architect role focused on enabling and optimizing machine learning model training workflows on custom hardware (MAIA accelerators). Requires expertise in PyTorch, Triton/CUDA, and understanding of accelerator architecture for efficient deployment of large models. | Data | 8 |
| Member of Technical Staff, High Performance Computing Engineer - MAI SuperIntelligence Team This role focuses on building and scaling the high-performance computing (HPC) infrastructure required for training frontier AI models and powering AI products like Copilot. The engineer will design, operate, and maintain large-scale HPC environments, including schedulers, GPU compute, storage, and networking. Responsibilities include developing automation, supporting researchers and engineers, and troubleshooting cluster issues. The role requires experience with on-premise or cloud HPC clusters, high-scale training clusters, and public cloud infrastructure. | Data | 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 |
| 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 |
| 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 |
| Principal Software Engineer Principal Software Engineer to architect and deliver Internet-scale web document platforms that ground LLMs for Microsoft's AI solutions, processing vast amounts of data daily. This role involves building large-scale data platforms fundamental to Bing Search and AI training, requiring expertise in both data platforms and AI. | Data | 7 |
| Member of Technical Staff, Microsoft Robotics (Robotics Data) This role focuses on data analysis, curation, and visualization for robotics AI models. It involves defining data collection strategies, building data pipelines, analyzing dataset characteristics, and creating visualization tools to improve model performance and identify data gaps. The role works at the intersection of robotics, machine learning, and data engineering. | Data | 7 |
| Member of Technical Staff, Microsoft Robotics (Robotics Simulation) The role focuses on building and maintaining pipelines for generating physics-ready 3D simulation assets from reality capture data. This includes creating workflows for optimizing geometry, material properties, and physics parameters, integrating various 3D reconstruction techniques, and developing synthetic data generation pipelines for ML models used in robotics. The goal is to bridge the physical and simulated worlds for robotics AI development and deployment. | DataAgent | 7 |
| Senior Data Engineer Senior Data Engineer responsible for designing, building, and operating software platforms that power Microsoft's business operations. This role involves working with AI tools across the SDLC, building datasets for LLMs and agents, and ensuring data quality, reliability, and security for AI-driven features. The engineer will also lead design discussions, write high-quality code, own testing strategies, manage cross-team dependencies, and participate in live site operations and mentorship. | DataAgent | 7 |
| Senior Software Engineer Senior Software Engineer role at Microsoft Quantum focused on building scalable commercial quantum computer systems. The role involves designing, implementing, and integrating system software, developing novel algorithms for computationally hard problems, and working on Quantum Error Correction techniques. It requires collaboration with experimentalists and hardware designers, spanning software, firmware, and hardware subsystems. The position emphasizes passion for software development, cloud, AI, and quantum computing. | Data | 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 |
| 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 |
| Member of Technical Staff - Data Infra - MAI Superintelligence Team The role focuses on building and maintaining data infrastructure for large-scale AI model training, specifically ingesting and processing enormous amounts of multimodal data (text, audio, images, video). This includes owning data pipelines, Spark, Ray, and Vector Databases, and partnering with pretraining and post-training teams to improve the data recipe for frontier models. | Data | 7 |
| Research Intern - RiSE group 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. | Data | 7 |