This role focuses on building and operating the core platform infrastructure for training, evaluating, and deploying large-scale AI models within Microsoft. It involves designing scalable services for cluster orchestration, job scheduling, data pipelines, and artifact management, with a strong emphasis on production operations, cloud platforms (Azure), and enhancing developer experience for AI research and engineering teams.

Senior Software Engineer to build GitHub's coding agent CLI and the core agent loop powering agentic experiences across GitHub and Microsoft. The role focuses on turning AI systems into reliable developer tools, with an emphasis on agentic systems, tool design, agent loops, benchmarking, quality optimization, and high-performance terminal experiences.

This role focuses on building large-scale Copilot memory and personalization systems using RAG, search, embeddings, retrieval, and ranking. The individual will be responsible for designing and implementing these systems, collaborating with stakeholders, and mentoring engineers. Experience with LLM applications and large-scale embedding/retrieval/ranking systems is required.

Engineering Manager for Copilot Memory and Personalization, focusing on building AI systems that remember, evolve, and personalize user experiences. The role involves leading a team of backend and ML engineers, contributing to codebase and infrastructure, and shipping AI-powered features for millions of users.

Software Engineer II role focused on designing and building AI-powered scheduling systems by integrating backend services, LLMs, APIs, and Outlook services for Microsoft Calendar and Teams. The role involves developing agent-driven solutions to reduce cognitive load and empower users in the hybrid work era.

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.

This role focuses on engineering user-facing AI features for Microsoft's personal AI, Copilot. The engineer will own the development lifecycle from inception to delivery, build secure and performant AI platform services, and collaborate with researchers and other engineers to create next-generation AI products. The role emphasizes shipping high-quality, well-tested, secure, and maintainable code within a fast-paced product development cycle.

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.

This role focuses on building AI-powered web experiences for Microsoft Copilot, collaborating with researchers and product managers to deliver a world-class AI companion. The engineer will design and build efficient front-end systems and infrastructure for complex web applications, ensuring safety and reliability for millions of users.

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.

Lead a team of software engineers to develop and launch AI-powered features for educational technology products, focusing on consumer-facing applications like study modes and quiz generation. This role involves people management, technical leadership, and collaboration with cross-functional teams to deliver impactful AI solutions in the EdTech domain.

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.

Technical Program Manager for AI Infrastructure at Microsoft AI, focusing on building and optimizing platforms for large-scale foundation model training, deployment, and serving. The role involves coordinating projects, collaborating with researchers and engineers, and driving progress in a 0->1 environment.

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.

The Microsoft 365 Copilot Windows App team is building intelligent, multimodal AI experiences into Windows, enabling AI agents using MCP to redefine user interaction with devices and bring AI to billions. The role involves designing and implementing intelligent features leveraging voice, camera, and screen context, building and optimizing agentic workflows, and owning end-to-end AI capabilities.

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.

Software Engineer II - CoreAI role focused on developing connectors and enriching ingested content with AI/ML capabilities for Azure AI Search, aiming to make it the knowledge and memory layer for Agentic applications. This involves generating vector embeddings, transforming data, and advancing multi-modal search.

Software Engineer II role within the Dynamics 365 Contact Center team, focusing on building AI-first, scalable contact center solutions on Azure. The role involves designing and implementing intelligent features, integrating AI models, and collaborating with cross-functional teams to deliver production-ready systems for large businesses.

The Principal Data Scientist will leverage data science techniques to solve real-life problems, focusing on defining compensable metrics, designing quota models, and evaluating outcomes. The role involves partnering with data engineering, product, field, and Finance teams to turn large-scale telemetry into decision-ready insights, influencing product direction and executive decision-making. Responsibilities include defining quota-setting strategy, applying ML to quota and incentive design, bridging Finance and Sales teams, and educating stakeholders on quota methodology. The role also involves analyzing challenges, shaping strategy, writing efficient code, leading data integration, and applying expert-level proficiency in big-data and ML engineering tools. Additionally, the role emphasizes a customer-first mindset, building data platforms, and incorporating AI ethics best practices.

This role is responsible for activating and scaling Microsoft Security's AI-first operating model within the Security Engineering organization. It focuses on building programs, rituals, and change infrastructure to embed AI-first behaviors, drive adoption of AI tools and agents, and measure progress. The role acts as a change agent to transform the organization's way of working to be AI-first.

Software Engineer IC4 at Microsoft, focusing on building the platform for Microsoft's advertising business. The role involves designing and building backend services on Azure, driving an Azure Kubernetes migration, and delivering full-stack features. While the core is platform engineering, there are opportunities to work on AI-powered product features like Copilot and LLM integrations, and the role emphasizes using AI-powered development workflows.

Product Manager II on the Bing Places Data team, owning data product features for Microsoft's geospatial services (Bing Maps, Local Search, Copilot). The role involves understanding partner requirements, translating AI concepts, leveraging AI for customer needs identification, applying data-driven insights, and influencing data product features (models, pipelines, quality systems). The focus is on improving data products for search and copilot experiences, balancing scalability, reliability, and partner needs.

This role is for a Director of Competitive and Market Intelligence focused on Securing AI and Cloud Security. The individual will develop a market view, translate technical and competitive signals into strategies for product, marketing, and go-to-market, and influence product direction by partnering with engineering teams. The role requires understanding customer use cases, emerging threats, vendor landscapes, and translating complex technical concepts into clear narratives. The goal is to help shape how the industry evolves and how Microsoft positions its AI security solutions.

This role focuses on evolving the Microsoft 365 design system for the AI era, specifically as M365 Copilot expands. The Principal Product Design Architect will explore and apply emerging AI tools within the design system workflow, prototype utilities to accelerate the design process, define how AI models interface with design libraries, and establish system architecture and lifecycle standards. The goal is to build the foundation for AI-native UX across M365 and simplify the productivity ecosystem.

This role is a quota-carrying sales specialist focused on driving the adoption of AI-powered solutions, specifically M365 Copilot, within small and medium enterprises. The specialist will engage with customers, craft value propositions, and collaborate with internal teams and partners to accelerate AI adoption and achieve revenue targets.

Principal Product Designer for Microsoft AI Monetization (MAI) Publisher Monetization team. Focus on designing AI-powered products for advertisers, publishers, sellers, and consumers, with an emphasis on user experience, innovation, and responsible design. This role involves setting design vision, end-to-end product development, and collaborating with cross-functional teams. The designer will use AI tooling and integrate generative AI into products.

Director, Product Marketing Manager for Windows 365 Inbound, responsible for defining inbound strategy, messaging, narrative, competitive strategy, and product partnerships for Desktop as a Service (DaaS). This role involves guiding product shaping based on market landscape and customer needs, crafting the overarching story for Cloud PC, and integrating AI narratives into product messaging. The role requires leading a team of product marketers, driving product marketing strategy, owning positioning and value propositions, and collaborating with various internal teams (Product Management, Engineering, Sales, PR, etc.) for launch excellence and sustained growth. The role also involves contributing to internal communications about Windows Cloud + AI strategy.

Principal Product Designer for Microsoft AI Monetization, focusing on next-generation CRM and Marketing technology experiences. The role involves crafting AI-powered solutions that unify sales and marketing workflows, exploring AI agents, predictive insights, and conversational interfaces to enhance productivity and intelligence for advertisers, publishers, sellers, and consumers. The position emphasizes end-to-end design execution, user-centered approaches, and collaboration across disciplines to deliver category-defining products.

Senior Service Engineer for Microsoft Advertising's Trust and Safety team, focusing on platform integrity, security, and fraud detection. The role involves analyzing large-scale data, leading complex investigations, and designing scalable solutions using automation and AI to improve detection and strengthen platform resilience. Requires experience in advertising, data analysis, cybersecurity, and programming languages like Python, with familiarity in ML/AI concepts.

This role is for a Digital Solution Area Specialist focused on AI and Business Process at Microsoft. The primary responsibility is to drive AI-powered business-process transformations by selling Microsoft's Dynamics 365, Power Platform, and Copilot solutions. The role involves owning the engagement cycle, crafting value propositions, and partnering with sales and engineering teams to accelerate customer adoption and achieve revenue targets. While the role is within an AI-focused company and involves selling AI solutions, the core craft is sales and customer engagement, not direct AI/ML model development or research.

Senior Software Engineer for Microsoft's Global Skilling Product Team, focusing on Azure Full Stack development to build enterprise-grade features for learning platforms. The role involves leveraging AI and Copilot features to enhance user experience, modernizing content operations, and developing AI/LLM models for test failure analysis. The engineer will also lead junior engineers and collaborate with cross-functional teams to deliver high-quality, scalable, and secure solutions impacting millions of learners.

Consultant role focused on delivering end-to-end data and AI solutions using Microsoft technologies. Responsibilities include solution design, development, deployment, and ensuring customer value through technical expertise and customer focus. The role involves working with Azure Data Services, AI/ML foundations, and operationalizing ML pipelines.

Principal Technical Program Manager to drive high-impact engineering projects with customers and partners, transforming their missions using AI and other cloud-based solutions and services. This role involves defining customer scenarios, orchestrating engineering approaches, and developing end-to-end user stories. The TPM will work within a cross-functional team of engineers, data scientists, and designers to build innovative solutions side-by-side with strategic customers.

Senior Finance Manager for Microsoft's Cloud and Artificial Intelligence (C+AI) business, focusing on revenue planning, investment strategy, and financial analysis for Azure AI. The role involves partnering with Engineering, Product, Sales, and Marketing to shape business models, evaluate tradeoffs, and influence executive decision-making through data-driven insights and financial storytelling. Requires strong strategic and analytical rigor, experience with complex problem-solving, financial judgment, and executive influence.