Senior Software Engineer on the Bing GenAI team, responsible for the architecture and development of high-performance services powering generative AI features in Bing and Copilot. This includes prompt engineering, C#-based service layers, and guiding project delivery for features like web grounding, search mode, answer cards, and generative UI. The role involves technical leadership, mentoring, and ensuring the availability, reliability, and performance of large-scale AI systems.

Manager for a Core Recommendation and Content Generation team at Microsoft, focusing on LLMs and NLP to drive user engagement across various Microsoft platforms. The role involves leading a team of Applied Scientists and ML Engineers, defining technical strategy, and overseeing end-to-end execution of ML solutions.

Principal Applied Scientist role focused on building and scaling AI-powered content recommendation systems for Microsoft Copilot Discover. The role involves advancing the recommendation and ranking stack using LLMs and multimodal models, deepening user and content understanding, scaling ML/AI systems, and driving innovation in AI-forward products like agentic content feeds and generative UI. The position requires technical leadership, mentoring, and close collaboration with engineering, product, and policy teams.

Principal Data and Applied Scientist role within Microsoft's EngOps team, focusing on developing and deploying cutting-edge GenAI and ML solutions to improve Azure customer experience, security, reliability, and quality. The role involves the full AI project lifecycle, from ideation to production, with a strong emphasis on experimentation, evaluation, and collaboration with cross-functional teams. Requires experience in building and deploying live production systems and delivering AI product features.

Principal Applied Scientist Architect for the Core Recommendation Ranking team, focusing on integrating GenAI and agentic systems into large-scale content recommendation and ranking stacks for consumer-facing Microsoft surfaces. The role involves designing, implementing, and architecting advanced ML/DL models, including LLMs, for ranking, reranking, and retrieval, with a strong emphasis on production ML systems at scale and cross-team technical leadership.

Lead the science behind Copilot Discover's ranking and content-quality stack, combining LLMs, multimodal models, and large-scale recommender systems to drive measurable gains in engagement, satisfaction, and trust. This role involves setting technical direction, mentoring scientists, and partnering with engineering, PM, UXR, and policy to ship end-to-end outcomes.

This role is for a Principal Applied Science Manager at Microsoft Bing's RAI Defensives team. The primary focus is on managing a team to research and ship state-of-the-art Deep Learning (DL) based NLP models for web-scale services, specifically for detecting harmful queries and content to ensure customer safety and a positive user experience. The role involves people management, technical leadership, and delivering reliable, scalable distributed services.

Senior Applied AI Engineer focused on building and shipping image generation capabilities for AI assistants and productivity tools. This role involves model development, training, fine-tuning, evaluation, and production deployment, with a strong emphasis on integrating LLMs and delivering customer-facing features.

Senior Applied Scientist with expertise in NLP, deep learning, and Ads recommender systems to design and implement ML models for relevance systems across Microsoft Ads and Shopping (Bing, Copilot). The role focuses on enhancing ad relevance and optimizing user experiences, operating end-to-end for ads and shopping products.

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.

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.

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.

The Signals Modeling team builds core intelligence for predicting user interaction with ads, designing and training large-scale transformer models for ad ranking, pricing, and optimization. They own end-to-end ML systems, from data construction to deploying models that drive revenue and ROI in a massive ads ecosystem.

Senior Software Engineer role in Microsoft's CoreAI division, focusing on building AI-powered developer tools and planet-scale platforms with enterprise trust, security, and reliability. The role involves designing, building, and operating core platform services for developers across the entire application lifecycle, including AI-native engineering practices and AI-enabled systems to improve various aspects of the software development lifecycle.

Senior Consultant role focused on designing and delivering end-to-end, industry-aligned, AI-powered cloud-native applications for enterprise customers. Combines full-stack engineering, applied AI, and Azure cloud expertise with a consulting mindset to drive business outcomes and digital transformation.

Principal Software Engineer in the CoreAI organization at Microsoft, focusing on building and integrating Responsible AI services. The role involves developing customer-facing, high-performance, low-latency, and high-availability AI services, improving AI tools across the SDLC, and ensuring Responsible AI controls and engineering-health metrics are embedded. Responsibilities include coding, system design, driving engineering excellence, implementing AI features with guardrails, and ensuring reliability and supportability.

Principal Data Scientist role within Microsoft's Industry Solutions Engineering (ISE) team, focusing on developing AI-powered cloud solutions for customers. The role involves data acquisition, model evaluation, research, and strategy definition, with a strong emphasis on customer collaboration and delivering impactful, scalable solutions.

Senior Software Engineer on the Bing Multimedia team, focusing on AI-powered visual discovery and multimodal experiences. The role involves designing and building large-scale AI systems, integrating LLMs and multimodal AI into production, and contributing to both backend services and user-facing components for Bing Image Search and other Microsoft AI products.

Principal Software Engineer at Microsoft focused on AI within the Finance Data & Experiences organization. The role involves leading architecture for complex AI-driven products, improving AI tools and practices in the SDLC, mentoring engineers, driving integration, ensuring security and compliance, and innovating automation for zero-touch deployments. The goal is to leverage AI for business excellence and customer satisfaction, with an emphasis on Responsible AI practices.

Senior technical leader responsible for shaping enterprise customer modernization of data estates and unlocking production-scale AI transformation. Guides design and adoption of AI-ready data platforms for Generative AI, Copilot, and agent-based solutions, working at the intersection of data, AI, and cloud platforms to drive end-to-end transformation from foundational data architecture to production AI outcomes at scale. Acts as a thought partner and strategic advisor, influencing customer roadmaps, platform decisions, and Microsoft solution plays.

Principal Data Scientist role within Industry Solutions Engineering (ISE) team, focusing on developing AI and cloud-based solutions with customers to address complex challenges. This role involves data acquisition, model development, evaluation, and strategy, working collaboratively with cross-functional teams and customers.

Principal Data Scientist role within the Industry Solutions Engineering (ISE) team, focusing on developing AI and cloud-based solutions for customers. This role involves data acquisition, model evaluation, developing operational models at scale, and collaborating with cross-functional teams and customers to solve complex business challenges.

Engineering Manager for Copilot Applications at Microsoft, focusing on building and leading a team to ship AI-powered experiences that integrate modalities (text, voice, vision, action) and shape human-AI interaction for millions of users. The role involves hands-on contributions, architectural guidance, and driving implementation of features and systems within a fast-paced, ambiguous environment.

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.

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.

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.

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.

Principal Software Engineer for Microsoft Copilot's animated AI companion, Mico. This role involves technical leadership for a consumer-facing AI product, focusing on architecture, scaling, and the integration of 3D rendering, LLMs, memory systems, and personalization across multiple platforms. Responsibilities include owning system architecture, LLM orchestration, memory systems, personalization frameworks, and ensuring performance, reliability, and observability for millions of users.

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.

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.

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.

Principal Data Scientist role focused on applying advanced analytics and data science to solve complex business problems for Microsoft's strategic customers. The role involves shaping data science strategy, defining reusable patterns, and leading technical direction across engagements, with a strong emphasis on business understanding, data preparation, modeling, and evaluation in a customer-facing consulting and engineering context.

Engineering Manager for Microsoft AI's Copilot product, focusing on full-stack development, team leadership, and shipping AI-powered experiences. The role involves hands-on coding, architectural guidance, and working across data sampling, collection, processing, analysis, and insights stages of the evaluation platform. Prompt engineering and extensive use of AI tools are also key aspects.

Principal Software Engineer focused on building and integrating Responsible AI services, ensuring high availability, scalability, and low latency for customer-facing AI applications within Microsoft's CoreAI organization. This role involves end-to-end ownership of the development lifecycle, evaluating architectures, and upholding software engineering best practices.

Principal Software Engineer within Microsoft's Office of the CTO (OCTO) to build AI-based systems that accelerate the deployment of OpenAI technology across Microsoft. This role involves collaborating with key technical teams at Microsoft and OpenAI to create the technical foundation for their partnership, focusing on building and shipping robust AI products, leading system design, and ensuring production reliability, observability, and security.

This role focuses on building and iterating on Responsible AI tools and capabilities to enable developers to build and deploy AI responsibly at scale. It involves prototyping, applying subject-matter expertise, and collaborating across product groups to drive project and release plans. The role emphasizes working in fast-paced, experimental environments and taking ideas from ambiguity to production.

Principal Data Scientist at Microsoft responsible for end-to-end delivery of strategic data science projects, partnering with customers and internal teams to design and implement advanced analytics and AI solutions that create measurable business impact. This role involves leading teams, engaging with stakeholders, applying machine learning, and integrating data models into customer systems, with a focus on Responsible AI principles.

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.

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.

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.

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.