Microsoft

The role focuses on optimizing ad performance through algorithm development, machine learning, and experimental analysis within Microsoft Advertising's Ads Monetization Algo team. It involves designing and implementing bidding strategies, auction mechanisms, and automation algorithms for advertisers, directly impacting significant revenue. The role requires a strong background in quantitative fields and experience in developing and deploying live production systems.

Product Manager role focused on the growth and deployment of AI multimodal models, working at the intersection of research and product growth to drive user adoption and revenue. Responsibilities include identifying growth opportunities, defining product deployments, owning KPIs, and collaborating with engineering, research, and marketing teams to execute go-to-market strategies.

Senior Software Engineer to drive the development of next-generation systems for Microsoft Start, focusing on backend services, LLM applications, evaluation frameworks, and prompt engineering to create intelligent user experiences.

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.

This role is for a Principal Software Engineering Manager in the Windows Ecosystem & Commercial Engagements (WECE) team. The manager will lead a team of engineers to build features into Windows, leveraging AI-assisted engineering. The role requires experience in managing engineering teams and shipping LLM-based systems to production, with a focus on delivering value to hundreds of millions of users.

Senior Software Engineer role within Microsoft's CoreAI organization, focusing on building and integrating Responsible AI services. The role involves end-to-end ownership of AI services, ensuring they are customer-facing, high-performance, low-latency, and highly available, while adhering to Responsible AI principles. This includes AI-native development, coding, design, engineering excellence, implementation, reliability, and understanding user requirements.

The Azure AI Inferencing team is seeking a Principal Software Engineer to lead the architecture and design of a large-scale, high-throughput, low-latency model-serving platform for Azure OpenAI generative models, supporting billions of requests daily. The role involves end-to-end ownership of solution quality, cross-team collaboration, incident response, and championing security, privacy, and Responsible AI.

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.

Principal Software Engineer to build and scale the core serving systems, request routing, and distribution for all LLMs across Microsoft and Azure customers. The role focuses on delivering inference capabilities reliably, efficiently, and with ultra-low latency for a wide range of AI-powered product experiences.

Principal Software Engineer to drive the architectural transformation of Conditional Access into a universal policy engine for users, workloads, and AI agents. This role will own the technical vision for scaling Conditional Access to meet the next generation of identity, including autonomous agents, continuous authorization, data-plane enforcement, and policy portability. The role involves defining architecture, owning technical strategy for the evaluation engine, designing next-generation policy models, leading CA-for-Agents vision, architecting agent identity evaluation, driving cross-org technical alignment, and influencing roadmaps for agent governance. It also includes setting standards for safe rollout, driving testability, and mentoring engineers.

Backend Software Engineer II for Microsoft Viva Insights (Copilot Analytics), which empowers organizations by providing AI-powered insights to understand and accelerate Copilot and Agent adoption. The role involves designing, implementing, and operating large-scale distributed backend systems using generative AI and ML techniques, with a focus on government cloud environments (GCC-High/DoD). Responsibilities include building and managing Azure infrastructure, collaborating across disciplines, and ensuring service reliability through strong engineering practices and observability.

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.

Principal Software Engineer role focused on defining and leading the technical direction for next-generation intelligent, large-scale content platforms. The role involves shaping multi-year technical strategy, driving architectural coherence, and building foundational platforms for multiple product surfaces. Responsibilities include designing distributed backend systems, cloud-native infrastructure, and data platforms at global scale, with a focus on availability, latency, security, and cost efficiency. A key aspect is guiding the integration of LLM-powered capabilities into production systems, defining patterns for retrieval, orchestration, evaluation, and responsible AI, ensuring these are deeply embedded, reliable, and scalable. The role requires exceptional technical judgment, operating in ambiguous spaces, and influencing across teams and organizations, working closely with engineering leaders, product leaders, and applied scientists.

This role is for a Sr. Cloud Solution Architect focused on the Azure AI platform within Microsoft's Customer Experience & Success (CE&S) organization. The primary responsibility is to enable customers to achieve business outcomes by leveraging Microsoft's AI and ML technologies, specifically by building Generative AI solutions and resolving customer blockers within the 'AI Factory'. The role involves technical leadership, driving customer adoption, providing feedback to engineering, and increasing technical expertise within the field teams. It emphasizes a hands-on approach to designing, building, and troubleshooting AI solutions for customers.

Senior and Principal Software Engineers are needed to build AI-driven security product experiences for Microsoft Threat Protection. This role involves designing and developing full-stack solutions that integrate large language models, multimodal models, and frontier AI capabilities into user-facing applications for threat detection, triage, investigation, and incident response. The focus is on creating AI-native workflows and intuitive interfaces that reduce defender toil and enable new security capabilities.

Software Engineer II role on the Foundry Agent Platform team at Microsoft, focusing on building foundational AI capabilities for Azure customers. This includes agent distribution, data layers, discovery/search features, billing, and authoring agents. The role involves designing, building, and operating production software, applying AI-assisted techniques, and working with distributed systems and cloud services.

Senior Product Manager for Microsoft's Foundry Inference & Training team, focusing on product strategy and execution for AI model platforms. The role involves owning product strategy for AI model training, inference, experimentation, and platform enablement, evolving model offerings, driving developer-facing experiences, and defining efficiency metrics. Collaboration with engineering, data science, finance, and go-to-market teams is key, with a focus on solutions for regulated environments.

Principal Software Engineer role at Microsoft AI's Copilot Discover Engineering Team, focusing on the technical direction and long-range architecture of Copilot Discover. The role involves designing and driving systems for AI-forward discovery experiences, including content ingestion, enrichment, ranking, personalization, and serving across multiple surfaces. It emphasizes end-to-end responsibility, influencing platform direction, and ensuring system robustness, scalability, and privacy. The position requires shaping the adoption of AI/ML techniques and serving as a cross-organizational technical leader.

Consultant role focused on designing, developing, and implementing Agentic AI solutions using Microsoft's Dynamics365 and Power Platform for US federal government clients. Requires a Top Secret security clearance and proficiency in generative AI, LLMs, and Agentic Frameworks.

Principal Software Engineer to lead end-to-end software development lifecycle for AI-infused applications, Agentic Solutions, and Copilots within Microsoft's Commercial Sales Experiences (CSX) organization. The role involves architecture, design, development, testing, and deployment, focusing on enhancing user experience and productivity with AI.

Principal Software Engineer to design and build a Postgres-based database for modern, AI-native, agent-driven workloads within Microsoft Fabric. The role involves innovating on query planning, execution, and storage layers to support high-performance data access for next-generation applications, leveraging open storage formats and engines.

Senior Software Engineer on the Smart Building & Workplace team responsible for designing, building, and shipping agentic employee experiences and full-stack platform features. The role involves working with Angular front-ends, .NET APIs, Azure Container Apps, and M365 Copilot extensibility to build intelligent agents that surface real-time building data, campus services, and personalized workplace insights through natural language. The role emphasizes shipping AI-powered products at enterprise scale and developing expertise in agentic AI and M365 Copilot extensibility.

Principal Full Stack Software Engineer (UI Focused) for Microsoft Foundry Agents Platform team, building agent-building experiences and tools for developers and enterprises using LLMs and GenAI on Azure.

This role is for a Platform Engineering Manager at Microsoft, focusing on building and scaling the AI platform services that power Copilot, Microsoft's personal AI assistant. The role involves managing a team to develop APIs for finetuning, deployment, and core Copilot experiences, collaborating with AI researchers and product teams to bring AI products to life. The focus is on high-performance, secure, and scalable backend systems for consumer-facing AI products.

This role involves building AI-driven analytics for Microsoft's Copilot product, focusing on trend detection, cohort analysis, and drill-down workflows using large-scale multimodal data. The engineer will design and implement ML models and scalable data pipelines, ensuring compliance and security, and integrating insights into dashboards and APIs.

Principal Machine Learning Engineer to work on data labeling and classification for large-scale multimodal Copilot data within Microsoft AI. The role involves prototyping and productionizing classification flows, operating prompted classifiers, and building secure data-labeling pipelines. Requires experience in data pipelines, data science, ML, and strong communication skills.

Machine Learning Engineer to build AI Insights, a Copilot analytics product. This role involves designing and implementing AI-driven trend detection, cohort analysis, and drill-down workflows that connect metrics to real user conversations using large-scale multimodal Copilot data. Responsibilities include building data pipelines, implementing ML models, developing secure workflows, and enabling drill-down capabilities linking quantitative metrics to qualitative evidence.

Microsoft AI is seeking an experienced Data Engineer to build mission-critical data pipelines for their Copilot systems. The role involves ingesting, processing, and publishing data streams to support AI model fine-tuning and introspection. The ideal candidate will have strong big data processing skills and experience with cloud infrastructure.

Machine Learning Engineering Manager to lead the development of AI Insights, a next-generation Copilot analytics product, focusing on AI-powered analytics for Copilot usage and quality metrics, trend detection, anomaly detection, and predictive insights. The role involves prototyping and productionizing ML models, ensuring data compliance, and integrating with existing platforms.

Principal Software Engineer role focused on building high-performance software for AI capabilities across Windows & Devices. The role involves architecting and building code for deploying ML models at scale, optimizing edge execution, and guiding system-level decisions for inference, memory, power, and security. It requires defining ML infrastructure strategy and has preferred experience in architecting ML inference pipelines for LLMs, local model integrations, and hardware-aware optimizations.

Principal Group PM Manager to lead a team of Product Managers and own a critical product area within Dynamics 365 Customer Experience AI, focusing on AI-powered Contact Center and Customer Service solutions. The role involves strategy, execution, people management, and cross-team influence for AI-first, agentic, and autonomous products.

Data Scientist II at Microsoft Security's Identity Threat Detection and Response (ITDR) team, focusing on building AI/ML algorithms for detecting sophisticated cloud-based attacks, anomalies, compromises, and cyber-attacks using Gen AI and graph-based systems. The role involves extensive data analysis, feature engineering with PySpark, and collaboration with researchers and product teams.

This role is for a Principal Software Engineering Manager at Microsoft's Core AI division, specifically on the Agentic Core Services Team. The team builds the cloud-native, distributed platform for developing, executing, and managing agentic applications at scale. The role involves leading and developing a team of engineers, driving strategic clarity, fostering engineering alignment, delivering cohesive end-to-end experiences, building foundational capabilities, championing customer-centric development, and leading live site excellence for large-scale distributed systems. The focus is on enabling developers to build intelligent, autonomous, and enterprise-grade AI agents, integrating multi-modal capabilities into agentic applications.

This role focuses on building the cloud-native, distributed platform for developing, executing, and managing agentic AI applications at scale. It involves defining the future of software development by shaping how developers interact with the platform, including programming models, user experiences, and a managed runtime for orchestrating agent-based AI applications with enterprise-grade guarantees. The role will collaborate with AI research teams and integrate multi-modal capabilities into agentic applications.

Develop and refine advanced simulation methods for quantum computing, with a focus on building AI agents/copilots to assist with various aspects of experiment setup, log triage, measurement reporting, protocol templating, and knowledge retrieval. The role aims to use AI to accelerate the development of quantum computers.

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.

Full Stack Engineer on the MAI Superintelligence Team focused on ML Efficiency & Observability, building capacity management portals and visibility into model performance for ML researchers and executives. The role involves designing and developing features for user interfaces, integrating with backend APIs for training frameworks, and contributing to internal tooling and infrastructure.

This role focuses on the network architecture for AI accelerator platforms, specifically for high bandwidth and low latency networks critical for AI GPU clusters. The Principal AI Network Architect will evaluate, design, and optimize the network stack from hardware to software kernels, influencing Azure product roadmaps and working with state-of-the-art networking labs. The role requires deep expertise in networking technologies and familiarity with AI model execution pipelines.

Seeking an experienced engineering leader to build, scale, and run a high-performing engineering organization responsible for Copilot AI Evaluation. This role involves setting technical and organizational strategy for LLM evaluation, partnering with senior leadership, and owning the delivery of evaluation platforms and novel techniques to measure and improve Copilot quality at scale.

Product Manager for CoreAI at Microsoft, focusing on policy enforcement, compliance automation, and AI-driven engineering automation within Microsoft's internal engineering systems. The role involves driving product strategy for platforms that deliver organizational policy controls, event-driven governance workflows, and intelligent automation, with a specific emphasis on integrating multi-agent systems and agentic workflows into engineering platform capabilities.

The role focuses on developing and improving machine learning models for Bing's multimedia search relevance, aiming to deliver the best image and video content to users. This involves working with computer vision, NLP, deep learning, and information retrieval to enhance ranking, understand queries, and process big data.

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.

Principal Software Engineering Manager to lead a team focused on improving the efficiency, scalability, reliability, and cost of the core infrastructure powering Microsoft 365 Copilot experiences. The role involves acting as a coach, guiding technical design, driving performance optimizations in collaboration with research teams, and ensuring the health and availability of live services.

Principal Project Manager accountable for leading complex, high-impact Cloud, Data, AI, and Security transformation programs for strategic enterprise customers. This role focuses on AI-first delivery models including Generative AI, Azure AI, and Copilot-enabled solutions, moving them from PoC to production-grade enterprise deployments. The role requires strong technical depth, customer trust, and execution in AI, with responsibilities spanning delivery leadership, risk mitigation, stakeholder management, and contributing to AI delivery standards.

Principal Software Engineer to advance ad-serving infrastructure, focusing on performance, efficiency, and scalability of next-gen model serving and inference platforms for Ads. Designs and optimizes high-performance serving systems and GPU inference frameworks for deep learning and LLM workloads.

This Principal Software Engineer role focuses on defining and driving the architectural direction for Windows Search and related semantic systems, including indexing, retrieval, ranking, and AI-powered experiences. The role involves leading cross-team technical efforts, ensuring system reliability and quality, and anticipating future needs for agentic and AI-driven Search.

Senior Product Manager for the Windows Platform & Developer Experience team, focusing on shaping platform primitives, APIs, and tooling for intelligent, agent-driven experiences. The role involves defining product vision for user signals on Windows, driving strategy for capturing and surfacing user context to power Copilot and AI agents, and influencing on-device model usage on Copilot+ PCs. This includes managing the product lifecycle from definition to launch, driving cross-org adoption, and navigating the intersection of AI and the OS.

The Data & Applied Sciences team for Microsoft Teams is seeking a Senior Applied Scientist to leverage ML/AI for decision-making and product performance enhancement, with a focus on Recommendation Engine solutions. Responsibilities include building models, featurization pipelines, measuring impact, running experiments, prototyping new algorithms, and working on end-to-end solutions including data pipelines and deployments.