At Microsoft, we are building the next generation of AI-powered products and platforms to support our users. Our Program Management organisation operates at the intersection of strategy and execution, helping teams turn complex ideas into shipped systems that reach millions of users.
\nIn this role, you will work directly with engineering and product to bring structure to ambiguous problems, drive alignment across teams, and help deliver impactful AI-powered experiences. Program Managers and Technical Program Managers play a critical role in improving the quality, velocity, and impact of the teams they support by enabling strong execution and thoughtful decision-making.
\nWe are looking for people who enjoy solving complex problems, collaborating across disciplines, and building processes that help organisations move faster. As a Principal Program Manager, you will partner closely with stakeholders across Engineering, Product, and Design to drive the planning, coordination, and execution of complex technical programs that power Microsoft Copilot.
\nResponsibilities:
\nQualifications:
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Our vision is bold , to build intelligent systems that deeply understand users and adapt across agents, applications, services, and infrastructure. This role focuses on building distributed data systems and APIs that power adaptive, context-aware experiences across Microsoft AI. We aim to make Copilot feel like your Copilot , responsive to your preferences, workflows, and goals , while preserving privacy, security, performance, and scale. We are looking for a Principal Software Engineer to lead the design and development of distributed data infrastructure, APIs and personalization pipelines that drive Copilot’s intelligence. You will work across Microsoft AI and Copilot teams. You will possess a methodical approach to problem-solving, proficiency in backend technologies, a familiarity with applied AI and its unique challenges, and the ability to architect solutions that stand the test of time. The right candidate is hands-on and enjoys building world-class consumer experiences and products in a fast-paced environment. A key skill is the judgment to make the right risk vs velocity and value decisions. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction. Architect scalable, low-latency systems for ingesting, processing, and serving personalized signals. Design data models and APIs that enable Copilot to reason about user context, preferences, and history Build real-time and batch personalization engines that adapt Copilot’s behavior. Collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled Optimize for performance, reliability, and cost across diverse workloads and geographies. Ship high-quality, well-tested, secure, and maintainable code. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. Enjoy working in a fast-paced, design-driven, product development cycle. Embody our Culture and Values. Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 4+ years’ experience building scalable services, including securing applications and infrastructure on top of cloud infrastructure like Azure, AWS, or GCP. 3+ years’ experience in OSS data technology, such as Kafka, Spark, Flink. Experience with large scale data systems Experience working with AI platforms, frameworks, and APIs. Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally. Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
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\nAs a Senior Applied Scientist on Bing Places, you will work on challenging problems that require deep technical expertise and a solid focus on real-world impact. You will work end-to-end: from problem formulation and data analysis, through model development and experimentation, to production deployment and live flighting. You will collaborate closely with engineering and product partners to develop, experiment with, and ship models that operate at Microsoft scale, while contributing to the broader scientific community through publications and patents.
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nStarting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
\nResponsibilities:
\nFormulate complex product and engineering problems as machine learning and AI tasks, and drive them from concept through production.
\nDesign, implement, and evaluate ML- and LLM-based models that improve Bing Places quality, relevance, and coverage.
\nConduct rigorous data analysis to understand system behavior, identify opportunities, and define success metrics.
\nPrototype new modeling approaches and iterate quickly based on offline evaluation and online experimentation.
\nOwn experimentation pipelines, including offline validation and large-scale online A/B flighting.
\nPartner closely with engineers to integrate models into production systems and ensure long-term reliability and performance.
\nDrive technical direction within your problem space and influence broader modeling and platform decisions.
\nDocument and communicate results through technical design reviews, papers, and patent filings.
\nQualifications:
\nRequired Qualifications:
\nBachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
\nOR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
\nOR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
\nOR equivalent experience.
\nPreferred Qualifications:
\nMaster’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
\nOR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
\nOR equivalent experience.
\nSolid foundation in machine learning, statistical methods, and data-driven problem solving.
\nHands-on experience developing and evaluating models on large-scale, real-world datasets.
\nProficiency in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, JAX, or similar).
\nSolid understanding of experimentation methodologies, including offline metrics and online A/B testing.
\nAbility to independently scope problems and deliver high-quality solutions in ambiguous environments.
\nSolid collaboration skills and experience working with engineering and product partners.
\nAbility to clearly communicate technical concepts and trade-offs to both technical and non-technical audiences.
\n4+ years of experience applying AI solutions or LLMs to real-world systems (RAG, ranking, classification, reasoning).
\nBackground in search, information retrieval, knowledge graphs, or local/entity understanding.
\nExperience shipping models into large-scale production systems with real user impact.
\nTrack record of publications or granted/pending patents.
\nFamiliarity with distributed training, model optimization, and production ML infrastructure.
\nComfort operating across the full lifecycle,from research and prototyping to production and live operations.
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\nAs a Senior Applied Scientist on Bing Places, you will work on challenging problems that require deep technical expertise and a solid focus on real-world impact. You will work end-to-end: from problem formulation and data analysis, through model development and experimentation, to production deployment and live flighting. You will collaborate closely with engineering and product partners to develop, experiment with, and ship models that operate at Microsoft scale, while contributing to the broader scientific community through publications and patents.
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nStarting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
\nResponsibilities:
\nFormulate complex product and engineering problems as machine learning and AI tasks, and drive them from concept through production.
\nDesign, implement, and evaluate ML-and LLM-based models that improve Bing Places quality, relevance, and coverage.
\nConduct rigorous data analysis to understand system behavior, identify opportunities, and define success metrics.
\nPrototype new modeling approaches and iterate quickly based on offline evaluation and online experimentation.
\nOwn experimentation pipelines, including offline validation and large-scale online A/B flighting.
\nPartner closely with engineers to integrate models into production systems and ensure long-term reliability and performance.
\nDrive technical direction within your problem space and influence broader modeling and platform decisions.
\nDocument and communicate results through technical design reviews, papers, and patent filings.
\nQualifications:
\nRequired qualifications include a bachelor’s degree in statistics, econometrics, computer science, electrical or computer engineering, or a related field, and 4+ years of related experience, or a master’s degree in a related field and 3+ years of related experience, or a doctorate in a related field and 1+ year of related experience.
\nPreferred qualifications include a master’s degree in a related field and 6+ years of related experience, or a doctorate in a related field and 3+ years of related experience.
\nSolid foundation in machine learning, statistical methods, and data-driven problem-solving.
\nHands-on experience developing and evaluating models on large-scale, real-world datasets.
\nProficiency in Python and experience with modern ML frameworks.
\nSolid understanding of experimentation methodologies.
\nAbility to independently scope problems and deliver high-quality solutions in ambiguous environments.
\nSolid collaboration skills and experience working with engineering and product partners.
\nAbility to clearly communicate technical concepts and trade-offs to both technical and non-technical audiences.
\n4+ years of experience applying AI solutions or LLMs to real-world systems.
\nBackground in search, information retrieval, knowledge graphs, or local/entity understanding.
\nExperience shipping models into large-scale production systems with real user impact.
\nTrack record of publications or granted/pending patents.
\nFamiliarity with distributed training, model optimization, and production ML infrastructure.
\nComfort operating across the full lifecycle,from research and prototyping to production and live operations.
\n#MicrosoftAI Applied Sciences IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
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\nWe are responsible for the largest machine learning models at Microsoft by volume and take pride in being the first in the world to solve many practical AI at Scale challenges.
\nOur work spans a very large scope of scenarios including delivering high quality search results from a massive document corpus, query and document understanding, retrieval and reranking model for search results optimization, as well as AI search grounding, etc.
\nWe are seeking a highly motivated and experienced Senior Applied Scientist with solid machine learning expertise and can adopt state-of-art AI technologies to improve the relevance for the next generation of search.
\nAs a team, we leverage the diverse backgrounds and experiences of passionate engineers, scientists, and program managers to help us realize our goal of making the world smarter and more productive.
\nWe believe great products are built by inclusive teams of customer-obsessed individuals who trust each other and work together closely.
\nWe collaborate regularly across the company to find technological breakthroughs from groups like Microsoft Research to infusing AI into the rest of Microsoft products like Office and Azure.
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more.
\nAs employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.
\nEach day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nStarting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week.
\nThis expectation is subject to local law and may vary by jurisdiction.
\nResponsibilities:
\nYou will master one or more subareas and build expertise across a broad research landscape, including advanced research methodologies and applied techniques.
\nYou’ll develop deep knowledge of a service, platform, or domain, and identify product opportunities by sharing emerging industry trends and applied technologies.
\nYou will review business requirements and incorporate research insights to meet strategic goals.
\nYou’ll provide direction on the types of data needed to solve complex problems and apply deep subject-matter expertise to drive measurable business impact.
\nYou will support the onboarding of junior team members and help develop academic collaborators into effective contributors within multidisciplinary teams.
\nYou’ll identify promising research talent, engage with the academic community, and strengthen Microsoft’s long-term recruiting pipeline.
\nYou will document ongoing work, experimental results, and research findings to promote transparency and innovation.
\nYou’ll also apply your understanding of fairness and bias to help shape ethics and privacy policies related to research processes and data collection.
\nYou will advance LLM post-training and alignment techniques by designing, implementing, and evaluating novel methods that improve reasoning quality, safety, controllability, and factual grounding across large-scale models.
\nYou will develop next-generation search capabilities by building and optimizing retrieval, ranking, and relevance systems that integrate deeply with LLM-powered experiences.
\nYou will architect and refine RAG pipelines that enhance retrieval fidelity, reduce hallucinations, and deliver more context-aware, user-aligned responses in production environments.
\nYou will translate research into production by running experiments, analyzing results, and collaborating with engineering partners to deploy scalable, reliable model improvements.
\nYou will drive scientific rigor through hypothesis-driven experimentation, reproducible methodologies, and clear documentation of findings, insights, and model behaviors.
\nYou will collaborate across disciplines,including research, engineering, product, and design,to shape long-term strategy for search, alignment, and retrieval-augmented systems.
\nYou will monitor and evaluate model performance using quantitative metrics, qualitative assessments, and user-centric evaluation frameworks to ensure continuous improvement.
\nYou will contribute to a culture of innovation by sharing learnings, mentoring peers, and participating in internal research discussions, reviews, and technical deep dives.
\nQualifications:
\nRequired Qualifications:
\nBachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
\nOR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
\nOR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
\nOR equivalent experience.
\nOther Requirements:
\nAbility to meet Microsoft, customer and/or government security screening requirements are required for this role.
\nThese requirements include but are not limited to the following specialized security screenings:
\nMicrosoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
\nPreferred Qualifications:
\nMaster’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
\nOR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
\nOR equivalent experience.
\n5+ years of experience coding in Python, C++, C#, C or Java.
\n3+ year of industry experience applying Machine Learning techniques.
\n#MicrosoftAI #Core #Search #RankFun Applied Sciences IC4 – The typical base pay range for this role across the U.S.
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\nIn our team, applied scientists work together and utilize all sorts of platforms, techniques, and approaches, including but not limited to mathematical modeling and optimization, machine learning, optimal control, game theory, and general economics and operations research. We build and develop both online stacks as well as offline workflows to support our algorithms. At its core, our team utilizes signals of user and advertiser intent as well as auction characteristics to determine in real-time or near-real-time which ads can enter the auctions. Our work directly impacts 10+ billion dollars in revenue annually.
\nWe are looking for a highly skilled applied scientist with development and management skills and a background in quantitative fields such as statistical machine learning, decision theory, operations research, optimization theory, mathematical modeling, data mining, causal inference, information retrieval, game theory, mechanism design, and optimal control. They will play a key role in driving algorithmic improvements to online and offline systems, developing and delivering robust and scalable solutions, making direct impacts on advertisers’ experience and the ad marketplace’s long-term health to collectively and continually increase the revenue for Microsoft Advertising.
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\nWe’re looking for an experienced Machine Learning engineer with strong hands-on skills in machine learning, data platforms, and distributed systems to lead the development of AI Insights, a next-generation Copilot analytics product. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nStarting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
\nResponsibilities: Build scalable data pipelines for telemetry ingestion, anomaly detection, and cohort segmentation. Implement ML-driven insights (prompted classifiers, anomaly detection) and integrate them into dashboards and APIs. Develop secure, compliant workflows for handling production logs and conversation data. Enable drill-down capabilities linking quantitative metrics to qualitative evidence for actionable context. Collaborate with PMs and DS to refine hypotheses and deliver intuitive, high-performance interfaces. Own technical strategy for trend detection, cohort analysis, and drill-down workflows linking quantitative metrics to qualitative conversation evidence. Prototype and productionize ML models for anomaly detection and predictive insights. Ensure compliance and security for data handling across telemetry, logs, and conversation datasets. Collaborate with PMs, data scientists, and UX to define roadmap and deliver intuitive, high-impact workflows. Independently write efficient, readable, extensible code and model pipelines. Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor. Hands-on with observability (metrics, tracing, logs) and model evaluation frameworks.
\nQualifications: Required Qualifications: Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Preferred Qualifications: Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists. Demonstrated interest in Responsible AI.
\n#MicrosoftAI #mai-datainsights #mai-datainsights
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\nWe’re looking for a hands-on ML engineer to prototype and productionize complex classification flows on real production logs, operate prompted classifiers at scale (ad hoc and scheduled), and build secure, compliant data-labeling pipelines.
\nWe’re looking for someone with experience in data pipelines, data science, and machine learning, as well as a strong communicator and great teammate.
\nThe right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more.
\nAs employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.
\nEach day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond
\nStarting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.
\nThis expectation is subject to local law and may vary by jurisdiction.
\nResponsibilities:
\nBuild evaluation loops (precision/recall, calibration, drift, human-in-the-loop) and publish dashboards/SLOs.
\nGeneralize machine learning (ML) solutions into repeatable frameworks.
\nOperationalize prompted classifiers at scale (batch & streaming), including orchestration, autoscaling, monitoring, and cost guardrails.
\nConduct thorough review of data analysis and techniques used to summarize the process review and highlight areas that have been missed or need re-examining.
\nCollaborate cross-functionally with DS, Security, and Platform to define schemas, access patterns, and governance.
\nIndependently write efficient, readable, extensible code and model pipelines.
\nCommit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.
\nQualifications:
\nRequired Qualifications:
\nBachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
\nPreferred Qualifications:
\n7+ years’ experience writing production-quality Python or Java or Scala code.
\n5+ years’ experience in distributed systems design and implementation of large scale data processing systems
\n3+ years’ experience building ML data pipelines using atleast one of AML, Promptflow, Langchain or LangGraph
\nDemonstrated interest in Responsible AI.
\nExperience prompting, evaluating, and working with large language models.
\n#MicrosoftAI #mai-datainsights #mai-datainsights
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\nResponsibilities:
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\nAs a data and applied scientist in this team, you will have the chance to work on and deliver metrics that drive the direction of major Bing initiatives. You will have the chance to be involved in the analysis and decision making for 1000s of online controlled A/B experiments.
\nResponsibilities:
\nQualifications:
\nPreferred Qualifications:
\nExperience with SQL-like query languages, hands on experience in design & problem-solving skills with one or more programming languages, such as Python, Java, C# or C++, ability to work independently, influence others, and solid communication and collaboration skills. Familiarity with search engines, dealing with online instrumentation. Experience with large datasets and interest in consumer online search behaviors. Experience with building machine learning models on large scale data.
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\nOnline advertising is one of the fastest-growing businesses on the Internet today, with about $70 billion of the $600 billion advertising market already online. Search engines, chatbots, web publishers, major ad networks, and ad exchanges serve billions of ad impressions daily and generate terabytes of user event data. This rapid growth has created enormous opportunities as well as technical challenges that demand advanced computational intelligence.
\nComputational Advertising has emerged as a new interdisciplinary field that combines information retrieval, machine learning, large-scale distributed systems, data mining, statistics, operations research, and microeconomics to solve complex problems. At its core, the challenge is to select an optimized set of eligible ads for each user in order to maximize overall utility,capturing expected revenue, user experience, and advertisers’ return on investment.
\nMicrosoft is innovating rapidly in this space to expand its market share by delivering a state-of-the-art online advertising platform and service. The Shopping Ads Infrastructure & Algorithm team in Microsoft AI is seeking a Principal Software Engineer – AI Ads to lead research and development for the next generation of shopping ads infrastructure.
\nIn this role, you will design, develop, optimize, and operate the universal product graph infrastructure and manage large-scale datasets that span billions of products in multiple languages worldwide. This product graph powers critical scenarios including Bing Search Ads, Copilot, AI Agents, Product Insights, Selection, Relevance, Modeling, and Personalization.
\nThe team leverages deep learning, LLMs/SLMs, AI, NLP, information retrieval, big data, and streaming systems to build high-performance engineering solutions aligned with Microsoft’s Commerce Strategy. You will collaborate with leading scientists and engineers across Microsoft’s global R&D organization to deliver impactful solutions at massive scale.
\nAt Microsoft AI, you’ll have the opportunity to grow your career while tackling some of the hardest problems in machine learning, large-scale distributed systems, and computational advertising. You’ll collaborate with world-class researchers and engineers, influence product direction, and take on leadership opportunities that expand your technical and professional impact.
\nOur team builds infrastructure that powers billions of products across the globe, directly shaping the future of shopping and online advertising. By joining us, you’ll contribute to cutting-edge AI innovation at massive scale and help transform how users and advertisers connect.
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nStarting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
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\nAs employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nThis role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence , ultra-capable systems that remain controllable, safety-aligned, and anchored to human values.
\nWe are looking for a designer who builds. You’ll own the end-to-end user experience for our most visible AI product surfaces , MM Labs, Playground, marketing pages, and model specification tools , taking concepts from rough sketch to polished, shipped product.
\nThis is not a role where you hand off mockups and wait. You will use AI-native tools and agentic coding workflows to move from Figma to working prototypes to production-quality frontend, compressing the traditional design-to-engineering handoff into a single, fast loop.
\nResponsibilities:
\nOwn the UX for flagship AI surfaces: Design and ship the end-to-end user experience for MM Labs, Playground, marketing pages, and model specification tools , from information architecture and interaction flows to pixel-level visual polish.
\nDesign and build: Use AI-native workflows (Cursor, GitHub Copilot, v0, or equivalent agentic coding tools) to move fluidly from design concepts to working prototypes and production-quality frontend code.
\nOwn the UI layer end-to-end when needed.
\nPrototype at speed: Rapidly produce interactive, high-fidelity prototypes to test new interaction paradigms for multimodal, agentic, and copilot-style AI experiences.
\nUse AI tools to compress iteration cycles from days to hours.
\nElevate visual craft and interaction quality: Apply strong graphic design foundations , typography, layout, color, motion , to create experiences that feel polished, intentional, and trustworthy.
\nSweat the details that make AI feel human.
\nPartner with model designers and researchers: Collaborate closely with model designers (who shape how the AI speaks and behaves) and researchers (who build the underlying capabilities) to ensure the UX faithfully represents model personality and strengths.
\nInform design systems: Contribute to and extend shared design systems, component libraries, and interaction patterns , ensuring consistency across surfaces while pushing the craft forward.
\nDrive design through data and user insight: Use both qualitative and quantitative signals (user research, analytics, A/B experiments) to validate design decisions and iterate.
\nBring evidence, not just intuition.
\nAutomate your own workflow: Continuously explore and adopt new AI tools, plugins, and workflows that make you faster and more capable.
\nShare what you learn with the team.
\nQualifications:
\nRequired Qualifications:
\nBachelor’s Degree in Product Design, Graphic Design, Human-Computer Interaction, Interaction Design, or related field AND 5+ years experience in product or service design OR Master’s Degree in a related field AND 3+ years experience OR equivalent experience.
\nA portfolio demonstrating exceptional visual design craft and interaction design , with shipped products, not just concepts
\nDemonstrated use of AI-native design and prototyping workflows: you actively use agentic coding tools (e.g., Cursor, GitHub Copilot, v0, Bolt, or similar) to produce working UI, not just static mockups
\nAbility to write or direct frontend code (HTML/CSS/JavaScript/React or equivalent) using AI coding assistants , you don’t need to be a software engineer, but you can ship production-quality UI with AI tools
\nStrong foundations in graphic design: typography, layout, color theory, and visual hierarchy
\nExperience designing for web-based tools, developer-facing products, or AI/ML interfaces
\nTrack record of shipping products end-to-end with high craft and attention to detail, in environments where you owned outcomes , not just deliverables
\nPreferred Qualifications:
\nExperience designing for AI, LLM, or conversational products , understanding how non-deterministic model behavior affects UX decisions
\nPortfolio demonstrating before/after impact: designs that measurably improved user engagement, comprehension, или task success
\nExperience with motion design, micro-interactions, or advanced prototyping (Framer, Rive, or code-based animation)
\nFamiliarity with AI-assisted user research, synthetic testing, or automated design evaluation
\nEvidence of continuously adopting and mastering new tools , you have a pattern of being early to new workflows and making them productive fast
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\nAs a Senior Applied Data Scientist, you will use Large Language Models (LLMs), Small Language Models (SLMs), and Retrieval-Augmented Generation (RAG) models to create modern, scalable, and efficient systems. You will collaborate with a dynamic, research-driven team that values curiosity, creativity, and a growth mindset.
\nIn this role, you will design and implement advanced AI solutions, staying at the forefront of the latest research in machine learning and natural language processing. You’ll have the opportunity to accelerate your career by working with industry leaders, refining your expertise in applied sciences, and contributing to impactful, customer-centric projects.
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\nWe’re hiring a Senior Software Engineer to own backend services handling millions of API requests per day, drive a major Azure Kubernetes migration, and deliver full-stack features that our users depend on daily.
\nDesigning and building backend services in C#/.NET on Azure (AKS, Functions, Cosmos DB, SQL). Driving a large-scale infrastructure migrations. Full-stack feature delivery across APIs and frontends , UIs, APIs, and tools for business-critical workflows. Live-site engineering , owning production health, incident response, and observability. Building new applications from scratch as the platform expands into new areas. Opportunities to work on AI-powered product features including Copilot experiences and LLM integrations as the platform evolves.
\nA tenured, tight-knit team of 9 engineers where retention speaks for itself , people stay because the work matters and the team is genuinely great. High-impact, high-autonomy work: you own features end-to-end from design through production. Clear path to Principal and beyond , significant opportunities for technical ownership and scope growth. The platform is evolving fast , you’ll shape what it becomes, not just maintain what exists.
\nImproves artificial intelligence tools and practices across the software development lifecycle. Partners with internal stakeholders to determine customer/user requirements for scenarios. Leads discussions for architecture of complex products ensuring test strategies for solution quality. Mentors in identifying dependencies and producing extensible code across teams. Leads debugging efforts and application of coding patterns to improve code quality. Develops automation for production deployment targeting zero-touch when possible. Ensures visibility for compliance through audit trails and maintains understanding of regulations. Advocates new trends to adapt them to current problems and shares knowledge with peers. Supports collaboration with partner teams, ensuring proper integration before going live.
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nStarting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
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\nWe’re looking for a Software Engineer II (Frontend/Full Stack) to help shape the future of AI-powered shopping in Copilot. This role is full-stack in the truest sense,you’ll collaborate across design, product, and engineering to deliver end-to-end experiences,but the center of gravity is the front end: building modern, convenient user interfaces that feel fast, polished, and reliable at scale.
\nYou should be fluent in at least one of our primary client stacks,Web, Kotlin, or Swift,and excited about moving across surfaces and tiers as the product demands. Some weeks that might mean shipping a high-impact UI iteration; other weeks it might mean partnering on service integrations, tightening API contracts, or improving performance and telemetry so we can measure what matters.
\nWe want an engineer who can jump in, learn quickly, and ship,someone who thinks like an owner, sweats the details, and can connect customer experience to engineering fundamentals. If you’re passionate about building delightful consumer experiences, iterating quickly with data and experimentation, and operating at the intersection of AI and shopping, this is a chance to work on a fast-moving product with real visibility and impact,while being part of a team that values clarity, craftsmanship, and collaborative execution.
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nStarting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
\nResponsibilities:
\nQualifications:
\n#MicrosoftAI
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\nWe are seeking a Software Engineer II to build key features across the Copilot stack, spanning backend services, LLM prompting, and cross-surface UI experiences within Bing. This role offers solid ownership, technical depth, and the opportunity to shape some of the most user-impacting, AI-driven experiences at the intersection of Search, Maps, and Copilot.
\nThe successful candidate will have a strong background in software engineering, with a focus on building secure, scalable, and compliant code using AI. They will be responsible for designing, implementing, testing, and maintaining features, as well as creating prompts and building evals. The ideal candidate will also have experience with debugging tools and logs, and be able to contribute to architecture discussions and design docs.
\nAs a member of our team, you will have the opportunity to work on cutting-edge technology and collaborate with a talented group of engineers. You will also have access to a comprehensive benefits package, including health insurance, retirement savings, and paid time off.
\nIf you are a motivated and experienced software engineer looking to join a dynamic and innovative team, please apply for this exciting opportunity.
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\nCopilot Security and Privacy is responsible for building those capabilities directly into Copilot. Our work focuses on new security primitives for agentic AI, including real-time intent validation, workload isolation with verifiable guarantees, AI-driven guardrails, and offensive security techniques that model how intelligent systems fail under pressure.
\nWe are hiring a Principal Security Engineer to help design and build these systems end-to-end. This is a hands-on engineering role for someone who wants to ship production code into a globally deployed AI platform,developing adaptive defenses, agentic offensive security, and security architectures that scale with autonomy.
\nThe problems are technically deep, often unsolved, and central to making advanced AI systems deployable in the real world. Most security roles focus on protecting existing systems. This role helps define the security architecture for systems that are still being invented.
\nYou will work at the intersection of AI, security, privacy, and distributed systems,building defenses that enable safe autonomy rather than limiting innovation. If you want to shape how agentic AI is secured at global scale, this is a uniquely high-impact opportunity.
\nAs employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nStarting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
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\nWe are seeking a Principal Product Manager who will play a defining role in shaping the long-term product direction of Microsoft Edge. This role is about devising product shape, not just shipping features,setting vision, defining bets, influencing adjacent platforms, and ensuring that Edge continues to be a first-class surface for users, developers, and the broader Windows + Copilot ecosystem.
\nThis is a senior, high-impact role intended for product leaders who thrive in ambiguity, think at ecosystem scale, and are motivated by extending a charter rather than executing within fixed boundaries.
\nThe primary intent of this role is to extend the Edge charter forward. This includes:
\nEvolving Edge from a modern browser into an AI-native application runtime. Defining how AI, Copilot, and browser primitives come together to unlock new user experiences. Influencing the future of the web platform and Chromium to better serve Edge, Windows, and Microsoft’s AI strategy. Shaping how Edge differentiates while remaining grounded in open web standards and ecosystem compatibility.
\nMicrosoft’s mission is to empower every person and every organisation on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realise our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nResponsibilities:
\nProduct Strategy & Vision Define the long-term product shape and north star for Edge core capabilities, AI features in Edge, and deep Windows Copilot integration. Identify and frame high-leverage problems where browsers, AI, and operating systems intersect, and turn them into clear product strategies. Extend the Edge charter by influencing adjacent surfaces such as Windows Copilot, system-level experiences, and developer platforms.
\nCore Browser & Platform Leadership Own and evolve core browser capabilities (e.g., navigation, state, performance, privacy, extensibility, and user trust). Drive product thinking across platform foundations including profiles, sync, identity, security, and performance. Partner closely with engineering to shape foundational investments, not just feature roadmaps.
\nAI & Copilot Experiences Define AI-first user experiences in Edge that go beyond incremental enhancements. Shape how Copilot manifests inside the browser, across tasks such as creation, discovery, comprehension, and automation. Collaborate with Windows and M365 Copilot teams to ensure coherence, clarity of roles, and differentiated value for Edge.
\nWeb Platform & Chromium Influence Act as a product voice for Microsoft within the Chromium ecosystem. Influence web platform direction to unlock future Edge and Windows scenarios. Balance open-web principles with Edge-specific differentiation and strategic advantage.
\nCross-Org Leadership Work across highly diverse stakeholders: engineering, design, research, data science, Windows, Copilot, developer platform teams, legal, and privacy. Navigate ambiguity, negotiate tradeoffs, and align teams around shared outcomes without direct authority. Represent Edge product strategy in executive and cross-company forums.
\nData-Driven & Customer-Obsessed Execution Use data, user research, and experimentation to validate hypotheses and drive prioritisation. Ensure product bets are grounded in user value, long-term leverage, and strategic fit. Translate learning into scalable platform investments.
\nQualifications Required Qualifications: Bachelor’s Degree AND 8+ years experience in product/service/program management or software development. Solid experience shipping and evolving large-scale, user-facing platforms. Proven ability to operate at both strategic and execution depth. Preferred Qualifications: Deep understanding of browsers, operating systems, developer platforms, or the web ecosystem. Experience working with or influencing open-source platforms (e.g., Chromium). Solid product intuition for AI-powered experiences and human-AI interaction. Demonstrated ability to lead through influence in complex, cross-org environments. Excellent written and verbal communication skills.
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\nIn the world of LLM with agent flourishing, we are a team of engineers, PMs and designers that is tasked to find and render the ads with most appealing layout, and contribute to the overall bing/MSAN revenue. To help us achieve our ambitious goals to significantly grow the ads delivering and increase adoption of our MSAN platform, we are looking for a collaborative and seasoned Principal SDE to join our team.
\nThe role provides an exciting opportunity to contribute to ads UX and infrastructure for ads serving. If you are excited of joining an entrepreneurial and diverse team to respond to global demand and new scenario and deliver world class product, look no further!
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nStarting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
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\nReporting to the Chief of Staff for Copilot Engineering, you are a trusted operating partner to the Copilot Engineering leadership team,connecting work across HR, recruiting, comms, events, and functional leaders to drive re-orgs, performance management rhythms, cultural improvements and team communications.
\nCore Responsibilities
\nStrategically manage re-orgs and team design: build options, model scenarios, draft org charts, define role/level principles, coordinate approvals, and land changes with clear comms and minimal disruption.
\nEstablish and continuously improve team culture: define operating principles, create rituals (all-hands, retros, onboarding), and partner with leaders to reinforce expectations through recognition and feedback mechanisms.
\nEnable performance management: build and run annual and quarterly performance rhythm (goal setting, calibration, talent reviews), track actions, and ensure leaders have the data and narratives needed to make timely decisions.
\nKey contributor to the org’s operating cadence and logistics: help maintain the annual operations calendar, recommend leadership and team meeting schedules, manage agendas/notes/decisions, and ensure follow-through on action items.
\nPrimary liaison for coordination of events and offsites in partnership with the Events team: define objectives and audience, manage timelines and content inputs, align budgets, and ensure excellent attendee experience and post-event follow-up.
\nOwn leadership communications: draft and manage distribution of org updates, quarterly narratives, and decision memos; maintain source-of-truth channels for priorities, org changes, and FAQs.
\nBuild scalable people programs: improve onboarding, internal mobility and succession planning readiness, and manager enablement resources (toolkits, templates, timelines) in partnership with HR.
\nContinuously improve operational processes and tooling: simplify how the team plans, documents decisions, and reports status; create lightweight templates and automation where possible to reduce overhead.
\nScope & Operating Model
\nThis role typically partners directly with the org leader(s) and leadership team, operating with high autonomy and discretion. Scope often expands with org size and complexity, and may include ownership of multiple programs or sub-teams over time.
\nOperate as the “air traffic controller” for the org: connect dots across workstreams, anticipate risks and dependencies, surface trade-offs, and keep leadership aligned through crisp readouts and decision support.
\nTrack org health and engineering/operational metrics: partner with existing owners to maintain scorecards and dashboards (e.g., headcount, attrition, hiring funnel, engagement signals, delivery predictability, incident/quality trends as applicable), identify patterns, and translate insights into recommendations and leadership actions that feed performance management.
\nBe the primary liaison to HR (and close partner to recruiting and finance): manage HR cases and escalations, support talent processes, ensure policy compliance, and drive clear communication across leaders and teams.
\nKey Challenges & Expectations
\nImmediate priorities often include landing org design changes smoothly, establishing a predictable operating cadence, and creating clear mechanisms for goals, feedback, and accountability across the leadership team.
\nThe program manager must be able to drive change management with empathy and firmness,balancing discretion and trust with the ability to push for closure, escalate when needed, and unblock leaders at speed.
\nInternal customers include the org leader(s), direct reports, and key partners (HR, recruiting, finance, comms, events).
\nSuccess requires crisp communication, strong judgment, and the ability to translate ambiguity into simple plans and artifacts.
\nQualifications
\nRequired Qualifications:
\nBachelor’s Degree in Business, Operations, Finance, or related field AND 8+ years experience in program management, process management, or process improvement OR equivalent experience.
\nPreferred Qualifications:
\nMaster’s Degree in Business, Operations, Finance, or related field AND 12+ years experience in program management, process management, or process improvement OR Bachelor’s Degree in Business, Operations, Finance, or related field AND 15+ years experience in program management, process management, or process improvement OR equivalent experience.
\nDemonstrated ability to lead complex change management efforts (re-orgs, operating model changes, new planning/performance rhythms) with high trust and confidentiality.
\nStrong analytical skills and comfort using scorecards and dashboards to synthesize metrics into insights and recommendations (without needing to be the metric owner/creator).
\nExceptional written and verbal communication; able to create crisp executive-ready artifacts (memos, narratives, readouts, comms plans).
\nProven stakeholder management across HR, recruiting, and cross-functional partners; able to influence without authority.
\nSenior level operating maturity: consistently high judgment, bias for action, and ability to operate through ambiguity with appropriate rigor, confidentiality, and attention to detail.
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\nAs a data and applied scientist in this team, you will have the chance to work on and deliver metrics that drive the direction of major Bing initiatives. You will have the chance to be involved in the analysis and decision making for 1000s of online controlled A/B experiments.
\nResponsibilities:
\nQualifications:
\nPreferred Qualifications:
\nExperience with SQL-like query languages, hands on experience in design & problem-solving skills with one or more programming languages, such as Python, Java, C# or C++, ability to work independently, influence others, and solid communication and collaboration skills, familiarity with search engines, dealing with online instrumentation, experience with large datasets and interest in consumer online search behaviors, experience with building machine learning models on large scale data.
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\nAs a team, we leverage the diverse backgrounds and experiences of passionate engineers, scientists, and program managers to help us realize our goal of making the world smarter and more productive.
\nWe believe great products are built by inclusive teams of customer-obsessed individuals who trust each other and work together closely.
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\nQualifications:
\nPreferred Qualifications:
\nExperience Level: senior Employment Type: full-time Workplace Type: hybrid Category: Engineering Industry: Technology Salary Range: $119,800 - $119,800 Salary Min: 119800 Salary Max: 119800 Salary Currency: USD Salary Period: year Required Skills: [Python, C++, C#, C, Java, Machine Learning] Preferred Skills: [Python, C++, C#, C, Java, Machine Learning]
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\nIn this role, you will translate research into production by advancing the state of the art and applying it to meet today’s AI needs. You will drive the design, development, execution, and implementation of research projects, using scientific principles and techniques to develop, evaluate, and deploy algorithms and solutions that improve system performance, quality, data management, and accuracy.
\nJoin us to shape the future of AI and deliver meaningful value to millions of users. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nResponsibilities:
\nQualifications:
\n#MicrosoftAI Applied Sciences IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.
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\nResponsibilities: Contribute to defining a product area by understanding user needs and behaviors, writing product requirements, and supporting end-to-end development, launches, and iterations. Identify long-term investment opportunities and drive business impact across the organization. Work through roadblocks and help teams ship quickly and iteratively. Translate business goals into product strategy, user experience, and technical requirements in collaboration with UX and engineering. Define success metrics, support experimentation, and use data to guide decisions. Dive into data to understand user behavior, product performance, and new opportunities. Communicate clearly and collaborate effectively across cross-functional teams. Model our culture and values in daily work.
\nQualifications: Required Qualifications: Bachelor’s Degree AND 5+ years experience in product/service/program management or software development OR equivalent experience. Preferred Qualifications: Bachelor’s Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience. Experience with AI. Experience with Grounding, Ranking, Query Understanding. Experience in the Search space.
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\nYou will set technical direction, mentor a high-caliber science cohort, and partner closely with engineering, PM, UXR, and policy to ship end-to-end outcomes. You will contribute to the development of the next generation of MSN that is adopting the latest generative AI techniques.
\nMicrosoft's mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nResponsibilities:
\nQualifications:
\nThis position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
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\nResponsibilities: Develop metrics for Copilot usage and quality. Drive product insights, opportunity analysis, and track metrics to support Microsoft Copilot. Drive new ways of instrumentation and measurement approach to evaluate new feature performance through experimentation. Enable A|B experimentation for new features. Hands-on analysis of large volumes of telemetry data using various algorithms and tools including your own. Articulate insights, storyboard with data and communication to influence leadership and other key decision makers. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. Enjoy working in a fast-paced, design-driven, product development cycle. Embody our Culture and Values.
\nQualifications: Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Preferred Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
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\nWe’re looking for an experienced Machine Learning engineer with strong hands-on skills in machine learning, data platforms, and distributed systems to lead the development of AI Insights, a next-generation Copilot analytics product. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nStarting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
\nResponsibilities:
\nHands-on with observability (metrics, tracing, logs) and model evaluation frameworks.
\nQualifications:
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\nWe are looking for a highly skilled Front-end focussed Senior Software Engineer (full-stack) to join our Experience team, who will provide technical leadership to key projects, and collaborate with frontend and backend teams to maintain and deliver key features that will be used across multiple sites. You will develop strategy aligning with stakeholders and execute plans to successfully deliver on commitments.
\nThe ideal candidate will be an experienced full-stack engineer with knowledge of modern front-end web frameworks like web components, cloud-based architecture and services, caching, load-balancing, A/B experimentation. Your responsibilities will include designing, coding and operationalising experience and services at hyper scale.
\nMSN is a personalised content feed powering user experiences across Microsoft. Our mission is to empower every person on the planet to be informed, entertained, and inspired. With nearly 30 years of history, MSN has evolved into a premier content destination with high-quality content, AI-powered user-controlled personalisation, and massive global reach. Over the past 4 years, AI and Machine Learning technologies have fuelled massive growth, transforming MSN’s content moderation, personalisation, and content entry points.
\nMicrosoft’s mission is to empower every person and every organisation on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realise our shared goals. Each day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nStarting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
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\nWe are a dynamic team of engineers and applied scientists, pushing the boundaries of Generative AI to deliver cutting-edge tools that drive impact at scale. We are looking for a Principal Applied Scientist to lead the development of the Copilot Chat Assistant to help advertisers navigate every step of their journey.
\nYou will design and productionize systems that orchestrate multiple Large Language Models (LLMs) using Agentic Frameworks (e.g., Semantic Kernel) and leverages Vector Databases, Retrieval Augmented Generation (RAG), and Model Context Protocol (MCP) based tools to solve complex, multi-step tasks. Your work will directly impact the topline revenue metrics for Microsoft Advertising.
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nResponsibilities:
\nOwn the science roadmap for Copilot Chat Assistant – from ideation to reliable, safe production launches.
\nDesign multi-agent reasoning systems that blend LLM orchestration, tool use, and state management for long-running tasks.
\nBuild robust retrieval pipelines (RAG + vector stores) for precise, grounded answers across advertiser and campaign domains.
\nAdvance prompt/program design (planning, decomposition, self-reflection, evaluation) to boost accuracy, latency, and cost efficiency.
\nShip real features with engineering partners: telemetry, online evaluations/A-B tests, guardrails, red-teaming, and quality bars.
\nMentor and multiply: guide applied scientists and engineers, set best practices, and raise the bar for scientific rigor.
\nMeasure impact: define success metrics, instrument experiments, and iterate quickly based on data and customer feedback.
\nQualifications:
\nRequired Qualifications:
\nBachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
\nOR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
\nOR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
\nOR equivalent experience.
\nPreferred Qualifications:
\nMaster’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
\nOR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
\nOR equivalent experience.
\n5+ years experience developing and deploying live production systems, as part of a product team.
\n7+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
\nExperience using LLMs, agentic frameworks, RAG, vector databases to build complex production systems.
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\nWe’re looking for a Principal Product Manager who sees that opportunity clearly and has the conviction and the hands to go build it. Someone who invents on behalf of customers rather than waiting to be told what they want. Someone who thinks about AI not just as a set of features to add, but as the means by which we rethink the whole product on behalf of the people who use it every day. The role is yours to define. The surface area is massive. The moment is now.
\nAs a Principal Product Manager, you will own the AI-native product strategy for Microsoft Edge, defining how AI collapses the distance between what people want and what they can accomplish , across research, tasks, decisions, and everything else people bring to their browser. You will invent on behalf of billions of users: form solid, well-reasoned convictions about what people need before they can articulate it themselves, and build toward that vision.
\nTurn frontier AI capabilities into experiences customers actually want to use, not demos that impress in a conference room and disappear six months later. Run fast, hypothesis-driven experimentation cycles across new AI interaction patterns and UI flows; let real usage data sharpen your convictions. Partner with research teams to identify model advances with real customer value and move them from research to shipped product. Work with data science and growth teams to ensure AI-powered features reach and retain the users who need them most.
\nSet clear direction in ambiguous spaces, make tradeoffs visible to leadership, and drive alignment across partner teams. Operate as a senior IC: coach PMs on adjacent workstreams, unblock critical path items, and hold a high bar for what “done” means.
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\nAt Web Data Document Processing & Rendering team, you’ll play a key role in building cutting-edge batch and streaming systems as part of our platform that powers Bing Search and Microsoft AI training scenarios, empowers data scientists to seamlessly integrate their machine learning models, driving transformative insights at massive scale.
\nHere you will be working with eye-popping scales, processing tens of billions of documents per day and managing hundreds of petabytes of data. The opportunity to make an impact on millions of users with each feature you ship is truly motivating.
\nIn today’s AI-driven world, where data is more valuable than ever, we’re embarking on an exciting mission to elevate our platform, scaling it even further to unlock new possibilities and serve a growing array of use cases and customers.
\nIf you’re passionate about building high-performance systems that shape the future of data processing, this is the place for you!
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nStarting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
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\nYou will combine deep machine learning expertise, solid engineering execution, and business intuition to modernize our prediction stack, drive model innovation, and mentor a growing team of scientists and engineers. This role is ideal for someone who thrives in complex, high-scale systems, who brings thought leadership to ML strategy, and who raises the bar for engineering rigor, curiosity, and business-driven decision making across the team.
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nStarting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
\nResponsibilities:
\nML / Modeling Leadership
\nLead the end-to-end development of large-scale CTR and other user response signal models for Search and Display ads.
\nDesign, prototype, and ship cutting-edge ML architectures (deep models, multi-task, transformer-based, LLM-assisted, multimodal).
\nDefine long-term modeling strategy and roadmap with clear business impact.
\nTechnical & Engineering Execution
\nModernize our current modeling pipelines, addressing critical technical debt in data flows, training pipelines, and inference systems.
\nPartner closely with engineering teams to improve reliability, monitoring, and performance of distributed training and online serving.
\nIntroduce best practices for experiment design, ablations, feature validation, and productionization.
\nBusiness & Product Impact
\nWork with PMs, monetization teams, and auction experts to translate business needs into modeling goals.
\nOwn model performance holistically: quality, stability, latency, and revenue impact.
\nDevelop frameworks to better understand advertiser value, user behavior, and marketplace dynamics.
\nLeadership & Mentorship
\nMentor and up-level applied scientists and ML engineers across the organization.
\nDrive a culture of curiosity, deep system understanding, and high-quality scientific reasoning.
\nImprove collaboration norms, documentation quality, and cross-team alignment.
\nInnovation & Tooling
\nLeverage and influence LLM-based tooling (e.g., agents, copilots) to improve team productivity and model development velocity.
\nIdentify opportunities to incorporate new modeling signals, architectures, or evaluation metrics.
\nQualifications
\nRequired/minimum qualifications
\nBachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
\nOR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
\nOR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
\nOR equivalent experience.
\nAdditional or preferred qualifications
\nMaster’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
\nOR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
\nOR equivalent experience.
\n5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
\n2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
\n5+ years experience conducting research as part of a research program (in academic or industry settings).
\n3+ years experience developing and deploying live production systems, as part of a product team.
\n3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
\nXML job scraping automation by YubHub
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\nDesigning and building backend services in C#/.NET on Azure (AKS, Functions, Cosmos DB, SQL). Driving a large-scale infrastructure migrations. Full-stack feature delivery across APIs and frontends , UIs, APIs, and tools for business-critical workflows. Live-site engineering , owning production health, incident response, and observability. Building new applications from scratch as the platform expands into new areas. Opportunities to work on AI-powered product features including Copilot experiences and LLM integrations as the platform evolves.
\nA tenured, tight-knit team of 9 engineers where retention speaks for itself , people stay because the work matters and the team is genuinely great. High-impact, high-autonomy work: you own features end-to-end from design through production. Clear path to Principal and beyond , significant opportunities for technical ownership and scope growth. The platform is evolving fast , you’ll shape what it becomes, not just maintain what exists.
\nImproves artificial intelligence tools and practices across the software development lifecycle. Partners with internal stakeholders to determine customer/user requirements for scenarios. Leads discussions for architecture of complex products ensuring test strategies for solution quality. Mentors in identifying dependencies and producing extensible code across teams. Leads debugging efforts and application of coding patterns to improve code quality. Develops automation for production deployment targeting zero-touch when possible. Ensures visibility for compliance through audit trails and maintains understanding of regulations. Advocates new trends to adapt them to current problems and shares knowledge with peers. Supports collaboration with partner teams, ensuring proper integration before going live.
\nResponsible AI practices
\nProactively takes responsibility for the content of their AI-generated requirements, design documents, code, and other assets, assisting other members of the team to do the same. Incorporates Responsible AI practices into the SDLC to ensure appropriate controls over AI-generated assets. Applies SDLC and engineering health measures (e.g., Accelerate, SPACE framework, Engineering System Success Playbook [ESSP]) to guide improvements to processes and practices, especially those involving AI. Experiments with AI tools and practices to improve their own capabilities, and provides recommendations on how to adopt them to other members of the team.
\nCoding
\nLeads by example across teams and mentors others to produce extensible, maintainable, well-tested, secure, and performant code used across products that adheres to design specifications. Leads efforts to continuously improve code performance, testability, maintainability, effectiveness, and cost, while learning about and accounting for relevant trade-offs. Identifies best practices and coding patterns and provides deep expertise in the coding and validation strategy. Creates and applies metrics to drive code quality and stability. Identifies and anticipates blockers or unknowns during the development process, escalates them, communicates how they will impact timelines, and then leads efforts to identify and implement strategies to address them. Leads efforts on using debugging tools, tests, logs, telemetry, and other methods, and proactively leads verification of assumptions while developing code before issues occur across products in production. Leverages minimal telemetry data, triangulates issues, and resolves with minimal iterations. Leads incident retrospectives to identify root causes of problems, the implementation of repair actions, and the identification of mechanisms to prevent incident recurrence. Reviews product code and test code to ensure it meets team standards, contains the correct test coverage, and is appropriate for the product or solution area.
\nDesign
\nOwns and leads efforts and discussions for the architecture of aspects of complex products/solutions. Leads the testing and exploration of various design options across a set of complex product/solution scenarios, ensuring the strengths and weaknesses of each option are outlined and making recommendations for which design option is best. Creates proposals for architecture and design documents, and leads testing of hypotheses and proposed complex solutions. Leads the development of design documents that support user stories and other product requirements. Evaluates new technologies to solve classes of problems, and determines how to integrate these technologies within existing systems. Leads efforts to ensure system architecture and individual designs meet performance, scalability, resiliency, disaster recovery, and cost requirements. Mentors
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_925dc62d-728","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/software-engineering-ic4-7/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["C#",".NET","Azure","Kubernetes","APIs","Frontends","UIs","Tools","Business-critical workflows","Live-site engineering","Production health","Incident response","Observability","AI-powered product features","Copilot experiences","LLM integrations"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:14:22.527Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C#, .NET, Azure, Kubernetes, APIs, Frontends, UIs, Tools, Business-critical workflows, Live-site engineering, Production health, Incident response, Observability, AI-powered product features, Copilot experiences, LLM integrations"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_88fdfb12-a77"},"title":"Software Engineer","description":"Join our innovative Web Data Platform Team as a Software Engineer and help us revolutionize the future of web document processing and rendering!
\nAt Web Data Document Processing & Rendering team, you’ll play a key role in building cutting-edge batch and streaming systems as part of our platform that powers Bing Search and Microsoft AI training scenarios, empowers data scientists to seamlessly integrate their machine learning models, driving transformative insights at massive scale.
\nHere you will be working with eye-popping scales, processing tens of billions of documents per day and managing hundreds of petabytes of data. The opportunity to make an impact on millions of users with each feature you ship is truly motivating.
\nIn today’s AI-driven world, where data is more valuable than ever, we’re embarking on an exciting mission to elevate our platform, scaling it even further to unlock new possibilities and serve a growing array of use cases and customers.
\nIf you’re passionate about building high-performance systems that shape the future of data processing, this is the place for you!
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nStarting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
\nXML job scraping automation by YubHub
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\nMicrosoft’s mission is to empower every person and every organisation on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realise our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nStarting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
\nContribute to MSAN Ads UX product and initiatives, partner with PM, UX designers, and dependency teams to turn ambiguous problem spaces into clear, intuitive user experiences. Build high-performance, scalable frontend solutions using modern web technologies. Operationalize AI within frontend engineering to improve productivity.
\nQualifications:
\nUnderstanding of human-AI interaction: prompt design, trust, explainability, and usability. Ability to translate AI capabilities into practical, intuitive Ads UX scenarios.
\nOther Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialised security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
\nPreferred Qualifications: Master’s Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
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\nWe're seeking a hands-on Principal Software Engineer to lead the development of security features and innovative solutions that harness agentic AI to both protect our customers and enable new agentic capabilities in Copilot. You'll design, build, and ship AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale.
\nThis role demands deep engineering expertise, creativity in applying agentic AI to security challenges, and a passion for building systems that balance innovation with trust. Your work will directly shape how hundreds of millions of users experience safe, trustworthy, and innovative AI. You'll be at the forefront of defining how agentic AI can proactively defend users, mitigate emerging threats, and unlock new secure scenarios,making a global impact on Microsoft's most transformative products.
\nAs a Principal Software Engineer, you will:
\nQualifications:
\n#MicrosoftAI Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.
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\nWe're seeking a Senior Software Engineer to design and build core identity and isolation systems across Copilot experiences, partnering closely with Microsoft's central identity platform and related teams. You'll own significant features end-to-end,from design through production operation,tackling novel risks at the frontier of agential AI while applying proven identity patterns where they fit and inventing new ones where they don't.
\nThis role demands solid backend engineering skills, working knowledge of modern consumer identity protocols, and the ability to ship reliable, secure systems at scale. You'll operate with a high degree of independence, make sound trade-offs between risk and velocity, and mentor others on the team.
\nYour work will secure AI experiences for hundreds of millions of users worldwide. Most identity roles focus on maintaining existing systems with well-understood patterns. Here, the problems are new,how do you manage authentication across chained agent tool calls? How do you enforce authorization boundaries when an agent's plan evolves at runtime? How do you isolate execution contexts that share memory and data,and your code ships into a product operating under real-world adversarial pressure?
\nMicrosoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
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\nThe Data Science team is responsible for driving insights to build great products and guide business decisions using statistical analysis, machine learning, experiments, data mining, and data storytelling. You will develop metrics for Copilot usage and quality, drive product insights, opportunity analysis, and track metrics to support Microsoft Copilot. You will also drive new ways of instrumentation and measurement approach to evaluate new feature performance through experimentation.
\nTo succeed in this role, you will need to have a strong background in data science, mathematics, statistics, econometrics, economics, operations research, computer science, or a related field. You will also need to have experience with prompt engineering and using LLMs, building data pipelines to support analytics and experiment scenarios, and working on product analytics to drive product improvements.
\nYou will be working closely with cross-functional teams, including product managers, designers, and other engineers, while clearly communicating complex technical concepts to both technical and non-technical stakeholders. You will need to have a keen interest in learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.
\nThis is a full-time position, and you will be expected to work from a designated Microsoft office at least four days a week if you live within 50 miles of that location. The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year.
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The world is changing rapidly during this AI platform shift and we need Product Managers who can live in the future and bring back clarity to the present to guide our work. As a Principal Product Manager – MAI Monetization, you will help businesses that want to grow and expand their business using our products, data, and services through advertising and new business models that unlock AI-first products. This role requires consistent knowledge and deep awareness of the emerging AI industry to develop new products as we have the freedom and flexibility to use innovative technology in service of our customer. We work within Microsoft AI (MAI), an organization responsible for Copilot, Bing, Edge, MSN, and other AI-first products. The organization has all the ingredients needed for success with Product, Engineering, Research, and Go To Market functions partnering as peers with shared goals. This enables close collaboration and rapid decision making. One of the reasons Microsoft AI consistently brings innovative products to market is because of the collaborative work we do in Product Management. We work closely with talented engineers, designers, marketers, creatives, customers, partners, and go-to-market teams to design and develop products tailored for our customer’s benefit. We run lean, obsess about users, and make decisions based on evidence. We ship regularly, so your work will have real and immediate impact. It’s a time of huge change in the AI landscape, and this role will put you right in the heart of it. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Drive building world-class AI applications that will delight consumers and deliver business results. Own a product area and be responsible for understanding user needs and behaviors, defining product requirements, managing end-to-end product development, launches and iterations. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. Enjoy working in a fast-paced, customer-first, product development cycle. Translate business goals into strategy, user experience and technical requirements in close collaboration with Applied Science, Data Science, Engineering, UX and Product Marketing/Sales teams. Define goals and performance indicators, set up and oversee experiments, measure success with data and research. Embody our Culture and Values. Qualifications Required Qualifications: Bachelor’s Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience. Preferred Qualifications: Bachelor’s Degree AND 12+ years experience in product/service/program management or software development OR equivalent experience. 7+ years of experience building Ads products 5+ years of building AI consumer products 5+ years of experience in monetization products and B2B Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. 2+ years experience leading cross functional product teams across advertising, privacy, search, conversational AI, or generative AI. 5+ years experience delivering products that include full Search and/or Advertising technology stack. 5+ years experience with data analytics and experimentation tools with working knowledge of SQL and coding skills (Python, Javascript).
\nXML job scraping automation by YubHub
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\nThe Bing multimedia Relevance Team develops the advanced search technology that powers Bing multimedia search. We are responsible for delivering the best images/videos for user’s queries and browsing across the globe. It’s more than just finding a web page that matches a query – it’s about training sophisticated machine learned models to drive the ranking, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of big data and signals from millions of people across the web.
\nPulling together and combining information from multiple sources to provide the user with results that best match their intent. Machine learning, deep learning, natural language processing, computer vision, big data mining and information retrieval – it’s all part of the job.
\nThe Bing multimedia Relevance Team is looking for a talented machine learning scientist/engineer to help us deliver our next generation of ranking algorithms. Qualified applicants should have a solid machine learning background, excellent coding skills, and a MS or higher degree in computer science or a related field.
\nWe are looking for a self-motivated and passionate individual who is interested in applying machine learning, deep learning, natural language processing, and data mining to deliver the best search results on the web and make an impact on millions of users. You should have solid problem solving and technical skills, and be able to apply research concepts in new and innovative ways.
\nThis is a fun and fast-paced environment, where developers are empowered to innovate. This is a great opportunity to work on something highly strategic to Microsoft, and an opportunity to directly impact millions of users in an exciting area.
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nStarting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
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","url":"https://yubhub.co/jobs/job_42cba406-285","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-applied-scientist-20/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$139,900 - $274,800 per year","x-skills-required":["Machine Learning","Computer Vision","Natural Language Processing","Deep Learning","Big Data Mining","Information Retrieval"],"x-skills-preferred":["Open Source","Microsoft Internal Tech","Cosmos","Autopilot","Azure"],"datePosted":"2026-04-24T12:14:02.177Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Computer Vision, Natural Language Processing, Deep Learning, Big Data Mining, Information Retrieval, Open Source, Microsoft Internal Tech, Cosmos, Autopilot, Azure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139900,"maxValue":274800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8797f9b8-aca"},"title":"Principal Software Engineer","description":"Join Microsoft AI's Copilot Discover Engineering Team as a Principal Software Engineer, serving as a senior technical architect to play a central role in the technical direction and long-range architecture of Copilot Discover.
\nThis is a role emphasizing true end-to-end responsibility: setting the architectural vision, shaping the platform for AI-forward discovery experiences, and steering the evolution of product experiences that sit at the heart of how users engage with the intersection of knowledge, content, and personalization on surfaces on which Copilot shows up.
\nYou will design and drive the systems that power the Copilot Discover feed at scale. You'll work on foundational platforms that ingest, enrich, rank, personalize, and serve content across web, mobile, and partner surfaces and lead architectural strategy for how we unify signals, models, and data into coherent, trustworthy experiences; modernize our ranking and personalization stack; and build the AI-forward infrastructure that makes Copilot Discover feel intelligent, anticipatory, and personalized for every user.
\nThe key is an end-to-end focus on outcomes, across a broad technical space. You'll be expected to influence platform direction across multiple teams and adjacent organizations. You will ensure that the MSN and Copilot Discover systems are robust, scalable, privacy-respecting, and engineered for long-term adaptation.
\nHigh product sense is a success factor – how you drive product and architectural convergence across today's fragmented surfaces, reduce complexity, and shape a consistent platform model is key to the success of the product and this role.
\nCopilot Discover sits at the intersection of content, signals, and user intent. Our ambition is to make it a durable, strategic layer that powers intelligent, personalized, and trusted discovery experiences across a broad array of surfaces where Microsoft engages consumers in their journeys.
\nIf you are passionate about building high-scale, AI-driven systems that combine solid architectural rigor with meaningful user value, this is the role for you.
\nMicrosoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nResponsibilities:
\nOwn the technical direction for Copilot Discover platforms, setting end-to-end architectural strategy.
\nPartner with product, design, data science, and engineering leaders to translate business and user needs into executable architectural plans, well-documented designs, and multi-year roadmaps.
\nSet and govern architectural decisions across multiple services and teams, ensuring systems are scalable, secure, reliable, cost-efficient, and grounded in data, telemetry and operational excellence.
\nRaise the technical bar across the organization by establishing flasifible principles, reviewing critical designs, and helping to develop technical leaders within the team.
\nEstablish and evolve quality and reliability standards, including test strategies, CI/CD practices, monitoring, alerting, and live-site health.
\nShape the adoption of AI/ML techniques for content understanding, personalization, summarization, and safety, in close collaboration with MAI and partner teams.
\nServe as a cross-org technical leader, aligning MSN architecture with Bing, Copilot, Ads, Privacy, Trust, and other Microsoft platforms.
\nQualifications:
\nRequired Qualifications:
\nBachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
\nPreferred Qualifications:
\nMaster’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
\nExperience in ML/AI systems, especially in content understanding, ranking, or personalization.
\nProven experience designing and operating large-scale distributed systems, including data pipelines, microservices, APIs, and storage systems.
\nExperience with content platforms, personalization systems, or consumer-facing services at scale.
\nExperience with technologies such as Apache Spark, Kafka, columnar storage, data modeling, and schema evolution.
\nDemonstrated success as a technical lead or architect, influencing across teams without direct authority.
\nSolid understanding of system architecture, performance tuning, telemetry design, and operational excellence.
\nExperience in ML/AI systems, especially in content understanding, ranking, or personalization.
\nExcellent analytical and communication skills, with the ability to clearly articulate complex technical concepts.
\nSolid cross-organizational collaboration skills and the ability to influence senior stakeholders.
\nXML job scraping automation by YubHub
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\nWe’re looking for a senior product leader to own this transformation end to end. You will be the single accountable person for MSN monetization strategy, product development, and revenue performance. You’ll work across engineering, sales, leadership, and finance to ship products that grow the business while improving the user experience.
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nResponsibilities: Define and execute the MSN monetization strategy across our suite of premium brand products, sponsorship, and new measurement capabilities. Partner with finance to build credible forecasts and track delivery against plan. Partner with MSN editorial leadership to align the commercial strategy with the editorial direction. Coordinate across engineering teams to sequence the technical investments (ad serving, data infrastructure, format development) against the commercial roadmap.
\nQualifications: Required Qualifications: Bachelor’s Degree AND 10+ years experience in product/service/program management or software development OR equivalent experience. Preferred Qualifications: Bachelor’s Degree AND 15+ years experience in product/service/program management or software development OR equivalent experience. 10+ years of experience in ad monetization, ad product management, or platform economics, with at least 5 years in a senior or leadership role. Deep understanding of the programmatic advertising ecosystem. Experience building and shipping premium ad products (sponsorships, branded content, high-impact placements) and working with sales teams to bring them to market. Demonstrated ability to own a revenue target and deliver against it. You’re comfortable presenting financial performance to senior leadership and making real-time tradeoffs between short-term yield and long-term positioning. Track record of operating independently across multiple teams (engineering, sales, editorial, finance) without needing someone else to broker alignment for you. Solid product sense for ad formats and user experience. Experience at a large-scale content or media platform (news, video, social, or aggregation) where you’ve dealt with the specific dynamics of editorial trust, ad quality perception, and brand safety. Familiarity with audience data infrastructure: identity resolution, match rates, first-party data activation, and privacy-compliant targeting at scale. Experience managing through a platform transition (e.g., migrating ad products across surface redesigns, consolidating demand across legacy and new experiences). Exposure to gaming monetization, video ad products, or cross-surface attribution.
\nXML job scraping automation by YubHub
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\nOur vision is bold and broad , to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all , consumers, businesses, developers , so that everyone can realize its benefits.
\nOur Platform team is responsible for building and scaling the backend platform at the core of Microsoft consumer products, the integrations with our AI models and the tools that our engineers use. We collaborate closely with cross-functional engineering, product management, and AI research, empowering all Microsoft Copilot teams to more effectively bring cutting-edge AI research to production.
\nWe’re seeking experienced Platform Infrastructure Engineers who are passionate about AI, are deeply proficient in scaling backend technologies, and possess a mastery of templating to architect solutions that stand the test of time.
\nResponsibilities:
\nDesign, develop, and maintain performant and secure AI Platform services that power Copilot.
\nWork collaboratively with platform, infrastructure, application engineers, and AI researchers to build next generation AI products and services.
\nShip high-quality and maintainable code, and ensure the reliability, scalability, and performance of platform components.
\nFind a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
\nEnjoy working in a fast-paced, design-driven, product development cycle.
\nEmbody our Culture and Values.
\nQualifications:
\nRequired Qualifications:
\nBachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
\n4+ years’ experience building scalable platforms on public cloud infrastructure like Azure, AWS, or GCP with extensive use of technologies like Docker, Kubernetes, nginx, RDBMS, key-value stores, etc.
\n4+ years’ experience in building and releasing production software at the platform level.
\nSolid knowledge of APIs, data flows, systems, and services.
\nPreferred Qualifications:
\nMaster’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
\nSolid experience in designing and building scalable backend services, APIs, and distributed systems in cloud environments.
\nSolid understanding of system design principles, including data modeling, caching strategies, and service-to-service communication (e.g., REST, gRPC).
\nAbility to troubleshoot and resolve complex backend issues across multiple services, with a focus on reliability, performance, and scalability.
\nProficiency in writing clean, maintainable, and testable code, with a solid emphasis on code quality, observability, and security best practices.
\nExperience working with databases (SQL/NoSQL), and a deep understanding of data consistency, indexing, and query optimization.
\nDemonstrated ability to collaborate effectively with cross-functional teams, including frontend engineers, product managers, and infrastructure teams.
\nSolid communication skills, with the ability to explain backend architectures and technical trade-offs to both technical and non-technical stakeholders.
\nAbility to operate in a fast-paced environment, handle ambiguity, and manage multiple priorities with a solid sense of ownership.
\nPassion for backend technologies and distributed systems, with a continuous learning mindset toward new frameworks, architectures, and AI-driven backend capabilities.
\nProven track record of contributing to team growth through code reviews, technical mentorship, and knowledge sharing.
\nXML job scraping automation by YubHub
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\nIn developing AI based insights on large scale multi modal Copilot data part of the Microsoft AI (MAI) organization. We’re looking for a experienced Machine Learning engineer with strong hands-on skills in machine learning, data platforms, and distributed systems to lead the development of AI Insights, a next-generation Copilot analytics product. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nStarting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
\nResponsibilities: Build scalable data pipelines for telemetry ingestion, anomaly detection, and cohort segmentation. Implement ML-driven insights (prompted classifiers, anomaly detection) and integrate them into dashboards and APIs. Develop secure, compliant workflows for handling production logs and conversation data. Enable drill-down capabilities linking quantitative metrics to qualitative evidence for actionable context. Collaborate with PMs and DS to refine hypotheses and deliver intuitive, high-performance interfaces. Own technical strategy for trend detection, cohort analysis, and drill-down workflows linking quantitative metrics to qualitative conversation evidence. Prototype and productionize ML models for anomaly detection and predictive insights. Ensure compliance and security for data handling across telemetry, logs, and conversation datasets. Collaborate with PMs, data scientists, and UX to define roadmap and deliver intuitive, high-impact workflows. Independently write efficient, readable, extensible code and model pipelines. Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor. Hands-on with observability (metrics, tracing, logs) and model evaluation frameworks.
\nQualifications: Required Qualifications: Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Preferred Qualifications: Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists. Demonstrated interest in Responsible AI.
\n#MicrosoftAI #mai-datainsights #mai-datainsights Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
\nXML job scraping automation by YubHub
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\nWe are looking for a Principal Software Engineer to lead the design and development of distributed data infrastructure, APIs and personalization pipelines that drive Copilot’s intelligence. You will work across Microsoft AI and Copilot teams. You will possess a methodical approach to problem-solving, proficiency in backend technologies, a familiarity with applied AI and its unique challenges, and the ability to architect solutions that stand the test of time.
\nThe right candidate is hands-on and enjoys building world-class consumer experiences and products in a fast-paced environment. A key skill is the judgment to make the right risk vs velocity and value decisions.
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nResponsibilities:
\nArchitect scalable, low-latency systems for ingesting, processing, and serving personalized signals.
\nDesign data models and APIs that enable Copilot to reason about user context, preferences, and history
\nBuild real-time and batch personalization engines that adapt Copilot’s behavior.
\nCollaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled
\nOptimize for performance, reliability, and cost across diverse workloads and geographies.
\nShip high-quality, well-tested, secure, and maintainable code.
\nFind a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
\nEnjoy working in a fast-paced, design-driven, product development cycle.
\nEmbody our Culture and Values.
\nQualifications:
\nRequired Qualifications:
\nBachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
\nPreferred Qualifications:
\n4+ years’ experience building scalable services, including securing applications and infrastructure on top of cloud infrastructure like Azure, AWS, or GCP.
\n3+ years’ experience in OSS data technology, such as Kafka, Spark, Flink.
\nExperience with large scale data systems
\nExperience working with AI platforms, frameworks, and APIs.
\nExperience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.
\nAbility to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
\nDemonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
\nPassion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI.
\nAbility to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
\nProven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
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\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nResponsibilities: Define and execute the MSN monetization strategy across our suite of premium brand products, sponsorship, and new measurement capabilities. Partner with finance to build credible forecasts and track delivery against plan. Partner with MSN editorial leadership to align the commercial strategy with the editorial direction. Coordinate across engineering teams to sequence the technical investments (ad serving, data infrastructure, format development) against the commercial roadmap.
\nQualifications: Required Qualifications: Bachelor’s Degree AND 10+ years experience in product/service/program management or software development OR equivalent experience. Preferred Qualifications: Bachelor’s Degree AND 15+ years experience in product/service/program management or software development OR equivalent experience. 10+ years of experience in ad monetization, ad product management, or platform economics, with at least 5 years in a senior or leadership role. Deep understanding of the programmatic advertising ecosystem. Experience building and shipping premium ad products (sponsorships, branded content, high-impact placements) and working with sales teams to bring them to market. Demonstrated ability to own a revenue target and deliver against it. You’re comfortable presenting financial performance to senior leadership and making real-time tradeoffs between short-term yield and long-term positioning. Track record of operating independently across multiple teams (engineering, sales, editorial, finance) without needing someone else to broker alignment for you. Solid product sense for ad formats and user experience. Experience at a large-scale content or media platform (news, video, social, or aggregation) where you’ve dealt with the specific dynamics of editorial trust, ad quality perception, and brand safety. Familiarity with audience data infrastructure: identity resolution, match rates, first-party data activation, and privacy-compliant targeting at scale. Experience managing through a platform transition (e.g., migrating ad products across surface redesigns, consolidating demand across legacy and new experiences). Exposure to gaming monetization, video ad products, or cross-surface attribution.
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\nWe're looking for an experienced Data Scientist to help build the next wave of capabilities of our personal AI, Copilot. We’re looking for someone who thinks deeply about measurement and human-AI interactions- in this role you help us describe and measure how people use Microsoft Copilot.
\nThe Data Science team is responsible for driving insights to build great products and guide business decisions using statistical analysis, machine learning, experiments, data mining, and data storytelling. Microsoft’s mission is to empower every person and every organisation on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realise our shared goals.
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\nWe are a team of applied scientists working on machine learning components in the whole sponsored search stack. Our team works on problems related to machine learning, deep learning, natural language processing, multi-arm bandit, optimization, information retrieval, auction theory , among others. Our work entails building large-scale machine learning systems for ad matching, filtration, ranking, and multi objective optimization, and several other ML-driven business problems. You will design, implement, analyze, tune complex algorithms and ML systems and the supporting infrastructure for operating on large datasets. You will collaborate with top machine learning scientists and engineers in delivering direct business impact. We’re looking for sound understanding and insight into productionizing machine learning models in large-scale systems, an ability to pick up new technical areas, as well as a commitment to developing, delivering, and supporting algorithms in production.
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\nAbout the Role Copilot for consumers is entering a new era of agentic AI, where intelligent agents act on behalf of users across Windows, Edge, web, mobile, and third-party products. We’re seeking a Senior Software Engineer to help develop security features and solutions that harness agentic AI to protect customers and enable new capabilities in Copilot. You’ll contribute to designing and building AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale. This role is ideal for engineers who are passionate about applying technical skills to solve security challenges and build systems that balance innovation with trust.
\nWhy This Role Matters Your work will directly shape how hundreds of millions of users experience safe, trustworthy, and innovative AI. You’ll be at the forefront of defining how agentic AI can proactively defend users, mitigate emerging threats, and unlock new secure scenarios, making a global impact on Microsoft’s most transformative products.
\nResponsibilities Develop and ship agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows. Implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms. Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy. Collaborate with product, engineering, security, privacy, and AI teams to adopt agentic security patterns and best practices across Copilot and MAI. Monitor key metrics for agentic AI security and innovation, using data-driven insights to improve defenses and enablement. Document secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions.
\nQualifications Required Qualifications: Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Preferred Qualifications: 3+ years in technical engineering roles building large-scale services. Hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses. Proven ability to design, build, and ship agentic AI features or frameworks Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps. Agentic AI Development & Orchestration: Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses; understanding of AI safety evaluation methodologies including adversarial testing and red-teaming Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview) Track record of mentoring less experienced engineers, driving adoption of standards and best practices across teams, and influencing technical roadmaps while balancing innovation velocity with fundamentals
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\nOur Platform team is responsible for building and scaling the backend platform at the core of Microsoft consumer products, the integrations with our AI models and the tools that our engineers use. We collaborate closely with cross-functional engineering, product management, and AI research, empowering all Microsoft Copilot teams to more effectively bring cutting-edge AI research to production.
\nWe’re seeking experienced Platform Infrastructure Engineers who are passionate about AI, are deeply proficient in scaling backend technologies, and possess a mastery of templating to architect solutions that stand the test of time.
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\nPrincipal Software Engineering–Backend–Microsoft Copilot responsibilities include:
\nTo be successful in this role, you will need to have:
\nPreferred qualifications include:
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\nAs a full stack engineer, you’ll have the unique opportunity to work across the entire technology stack, from high-performance backend services to stunning user interfaces. As a Full Stack Software Engineer on this team, you will work across both backend and frontend systems to deliver end-to-end features for Copilot and Bing. On the backend, you’ll work on building modern C#-based service layers, high-performance distributed systems and prompt engineering. On the frontend, you’ll build beautiful, responsive experiences using server-side and client-side frameworks.
\nThis opportunity will allow you to accelerate your career as a versatile engineer, develop deep expertise across the full technology stack, and gain hands-on experience shipping AI-powered features to billions of users.
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nStarting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
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Our vision is bold , to build intelligent systems that deeply understand users and adapt across agents, applications, services, and infrastructure. This role focuses on building distributed data systems and APIs that power adaptive, context-aware experiences across Microsoft AI. We aim to make Copilot feel like your Copilot , responsive to your preferences, workflows, and goals , while preserving privacy, security, performance, and scale. We are looking for a Principal Software Engineer to lead the design and development of distributed data infrastructure, APIs and personalization pipelines that drive Copilot’s intelligence. You will work across Microsoft AI and Copilot teams. You will possess a methodical approach to problem-solving, proficiency in backend technologies, a familiarity with applied AI and its unique challenges, and the ability to architect solutions that stand the test of time. The right candidate is hands-on and enjoys building world-class consumer experiences and products in a fast-paced environment. A key skill is the judgment to make the right risk vs velocity and value decisions. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction. Architect scalable, low-latency systems for ingesting, processing, and serving personalized signals. Design data models and APIs that enable Copilot to reason about user context, preferences, and history Build real-time and batch personalization engines that adapt Copilot’s behavior. Collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled Optimize for performance, reliability, and cost across diverse workloads and geographies. Ship high-quality, well-tested, secure, and maintainable code. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. Enjoy working in a fast-paced, design-driven, product development cycle. Embody our Culture and Values. Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 6+ years’ experience building scalable services, including securing applications and infrastructure on top of cloud infrastructure like Azure, AWS, or GCP. Experience with large scale data systems. Experience working with AI platforms, frameworks, and APIs. Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally. Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
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\nIn this role, you’ll build and operate scalable systems that power accurate and trustworthy local search experiences across Microsoft. As a Software Engineer II on Bing Places, you’ll collaborate with engineers, data scientists, and product partners to integrate diverse data sources, improve ranking quality, and ship features used by millions of customers.
\nThe role offers solid growth opportunities as you deepen your expertise in distributed systems, geospatial data. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nResponsibilities:
\nContribute to architecture, engineering standards, and development practices across the team.
\nWork with appropriate stakeholders to determine user requirements for a set of features.
\nContribute to the identification of dependencies, and the development of design documents for a product area with little oversight.
\nCreate and implement code for a product, service, or feature, reusing code as applicable.
\nContribute to efforts to break down larger work items into smaller work items and provides estimation.
\nAct as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gain approval to restore system/product/service for simple problems.
\nRemain current in skills by investing time and effort into staying abreast of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.
\nQualifications:
\nRequired Qualifications:
\nBachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
\nAbility to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
\nPreferred Qualifications:
\nMaster’s Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
\n1+ with data engineering leveraging tools such as Apache Hadoop or Spark or equivalent experience.
\nExperience with Azure Cloud, Azure Data Factory (ADF) 3+ years of experience in solving, design, coding, and debugging skills.
\nDemonstrated experience with products that involve high availability/reliability and low latency systems.
\n#MicrosoftAI
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\nThe Bing/Search Places team is reimagining how users explore and connect with places through search, maps, and AI-driven experiences across Microsoft’s ecosystem. We’re looking for a Senior Product Manager with consumer product and UX instincts who can shape product direction through discovery and drive execution from concept to launch, owning outcomes end-to-end.
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\nMake independent decisions for the team and handle difficult tradeoffs Translate strategy into plans that are clear and measurable, with progress shared out monthly to stakeholders.
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\nRequired Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
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\nWe're looking for engineers who are self-starters, care deeply about user experience, and take pride in solving real customer needs. You'll collaborate in a fast-paced, iterative environment to bring innovative technology to life, with safety, reliability, and scale front and centre.
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\nResponsibilities: Collaborate with AI researchers, product managers, and designers to bring a world-class AI health companion to the world. Own the end-to-end development of features, from ideation and specification through to deployment and iteration. Design, build, and optimize production-grade code, delivering robust features within a much larger existing architecture. Work independently across a wide range of our stack, shipping delightful user experiences. Ensure resilience, maintainability, and security above all else. Build the hiring pipelines, onboarding frameworks, or software development best practices as needed to scale an engineering team around you. Guide peers, contributing to a culture of technical excellence and continuous improvement.
\nRequired Qualifications: Bachelor's or Higher Degree in Computer Science, or related technical discipline AND strong software engineering experience with coding in languages/frameworks including, but not limited to, C#, C, C++, Java, Python, Rust, Typescript, Swift, Kotlin. Demonstrated expertise building products at scale, with domain expertise in one or more of distributed systems, cloud infrastructure, web, mobile, GenAI. Experience collaborating in cross functional teams, working through ambiguity to deliver high quality products. Have 0 to 1 experience with a bias towards shipping and learning, while balancing a high-quality bar. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
\nPreferred qualifications: Experience in healthcare technology, particularly with regulated medical devices. Passionate about conversational AI and its deployment. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies and patterns in AI. Experience developing and improving evaluation methodologies for assessing quality of LLM-based products.
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\nWe are hiring a Principal Security Engineer to help design and build these systems end-to-end. This is a hands-on engineering role for someone who wants to ship production code into a globally deployed AI platform,developing adaptive defenses, agentic offensive security, and security architectures that scale with autonomy.
\nThe problems are technically deep, often unsolved, and central to making advanced AI systems deployable in the real world. Most security roles focus on protecting existing systems. This role helps define the security architecture for systems that are still being invented.
\nYou will work at the intersection of AI, security, privacy, and distributed systems,building defenses that enable safe autonomy rather than limiting innovation. If you want to shape how agentic AI is secured at global scale, this is a uniquely high-impact opportunity.
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
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\nArchitect scalable, low-latency systems for ingesting, processing, and serving personalized signals. Design data models and APIs that enable Copilot to reason about user context, preferences, and history Build real-time and batch personalization engines that adapt Copilot’s behavior. Collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled Optimize for performance, reliability, and cost across diverse workloads and geographies. Ship high-quality, well-tested, secure, and maintainable code. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. Enjoy working in a fast-paced, design-driven, product development cycle. Embody our Culture and Values.
\nQualifications:
\nBachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 4+ years’ experience building scalable services, including securing applications and infrastructure on top of cloud infrastructure like Azure, AWS, or GCP. 3+ years’ experience in OSS data technology, such as Kafka, Spark, Flink. Experience with large scale data systems Experience working with AI platforms, frameworks, and APIs. Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally. Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
\n#MicrosoftAI Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
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\nReporting to the Chief of Staff for Copilot Engineering, you are a trusted operating partner to the Copilot Engineering leadership team,connecting work across HR, recruiting, comms, events, and functional leaders to drive re-orgs, performance management rhythms, cultural improvements and team communications.
\nCore Responsibilities
\nStrategically manage re-orgs and team design: build options, model scenarios, draft org charts, define role/level principles, coordinate approvals, and land changes with clear comms and minimal disruption.
\nEstablish and continuously improve team culture: define operating principles, create rituals (all-hands, retros, onboarding), and partner with leaders to reinforce expectations through recognition and feedback mechanisms.
\nEnable performance management: build and run annual and quarterly performance rhythm (goal setting, calibration, talent reviews), track actions, and ensure leaders have the data and narratives needed to make timely decisions.
\nKey contributor to the org’s operating cadence and logistics: help maintain the annual operations calendar, recommend leadership and team meeting schedules, manage agendas/notes/decisions, and ensure follow-through on action items.
\nPrimary liaison for coordination of events and offsites in partnership with the Events team: define objectives and audience, manage timelines and content inputs, align budgets, and ensure excellent attendee experience and post-event follow-up.
\nOwn leadership communications: draft and manage distribution of org updates, quarterly narratives, and decision memos; maintain source-of-truth channels for priorities, org changes, and FAQs.
\nBuild scalable people programs: improve onboarding, internal mobility and succession planning readiness, and manager enablement resources (toolkits, templates, timelines) in partnership with HR.
\nContinuously improve operational processes and tooling: simplify how the team plans, documents decisions, and reports status; create lightweight templates and automation where possible to reduce overhead.
\nScope & Operating Model
\nThis role typically partners directly with the org leader(s) and leadership team, operating with high autonomy and discretion. Scope often expands with org size and complexity, and may include ownership of multiple programs or sub-teams over time.
\nOperate as the “air traffic controller” for the org: connect dots across workstreams, anticipate risks and dependencies, surface trade-offs, and keep leadership aligned through crisp readouts and decision support.
\nTrack org health and engineering/operational metrics: partner with existing owners to maintain scorecards and dashboards (e.g., headcount, attrition, hiring funnel, engagement signals, delivery predictability, incident/quality trends as applicable), identify patterns, and translate insights into recommendations and leadership actions that feed performance management.
\nBe the primary liaison to HR (and close partner to recruiting and finance): manage HR cases and escalations, support talent processes, ensure policy compliance, and drive clear communication across leaders and teams.
\nKey Challenges & Expectations
\nImmediate priorities often include landing org design changes smoothly, establishing a predictable operating cadence, and creating clear mechanisms for goals, feedback, and accountability across the leadership team.
\nThe program manager must be able to drive change management with empathy and firmness,balancing discretion and trust with the ability to push for closure, escalate when needed, and unblock leaders at speed.
\nInternal customers include the org leader(s), direct reports, and key partners (HR, recruiting, finance, comms, events).
\nSuccess requires crisp communication, strong judgment, and the ability to translate ambiguity into simple plans and artifacts.
\nQualifications
\nRequired Qualifications:
\nBachelor’s Degree in Business, Operations, Finance, or related field AND 8+ years experience in program management, process management, or process improvement OR equivalent experience.
\nPreferred Qualifications:
\nMaster’s Degree in Business, Operations, Finance, or related field AND 12+ years experience in program management, process management, or process improvement OR Bachelor’s Degree in Business, Operations, Finance, or related field AND 15+ years experience in program management, process management, or process improvement OR equivalent experience.
\nDemonstrated ability to lead complex change management efforts (re-orgs, operating model changes, new planning/performance rhythms) with high trust and confidentiality.
\nStrong analytical skills and comfort using scorecards and dashboards to synthesize metrics into insights and recommendations (without needing to be the metric owner/creator).
\nExceptional written and verbal communication; able to create crisp executive-ready artifacts (memos, narratives, readouts, comms plans).
\nProven stakeholder management across HR, recruiting, and cross-functional partners; able to influence without authority.
\nSenior level operating maturity: consistently high judgment, bias for action, and ability to operate through ambiguity with appropriate rigor, confidentiality, and attention to detail.
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\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
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\nResponsibilities: Drive execution for Measurement programs: Translate PRDs into actionable execution plans across conversion tracking, attribution, cross-channel measurement, viewability, and third-party measurement integrations. Coordinate cross-functional teams: Partner with Product, Engineering, Data Science, and Privacy stakeholders to ensure alignment, unblock issues, and deliver on commitments. Lead program execution and delivery: Run core program routines including planning, dependency management, risk tracking, status reviews, and executive communications. Shepherd releases end-to-end: Oversee development, quality validation, launch readiness, and post-launch monitoring for measurement features and platforms. Define and drive success metrics: Partner with Product and Engineering to identify meaningful success metrics for measurement solutions, and ensure telemetry and reporting are in place to track progress and outcomes. Ensure data quality and reliability: Drive solid practices around event pipelines, telemetry, data validation, and system observability to ensure accurate and trusted measurement.
\nQualifications: Required Qualifications: Bachelor’s Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience. 3+ years of experience managing cross-functional and/or cross-team projects. Additional or Preferred Qualifications: Bachelor’s Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience. 8+ years of experience managing cross-functional and/or cross-team projects. 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos). Demonstrated ability to translate PRDs into shipped outcomes across multiple engineering teams and systems. Solid expertise in dependency management, risk mitigation, planning, and release execution. Excellent communication and stakeholder management skills, including executive-level updates. Experience working closely with Engineering Managers and Software Engineers in highly technical environments. Solid technical fluency with event pipelines, telemetry systems, data quality validation, and large-scale data processing. Experience with advertising measurement, conversion tracking, attribution, experimentation, or analytics platforms.
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\nResponsibilities:
\nStrategic Threat Modeling: Develop and maintain comprehensive adversarial frameworks to map the lifecycle of emerging threats, from account compromise (ATO) to malicious payload delivery.
\nEvolution of Advertiser Trust: Advance the continuous, signal-based security protocol. Research and implement behavioural biometrics and Proof of Liveness models to detect synthetic identities and coordinated fraud rings.
\nAdversarial Research: Proactively identify 'unknown unknown' vulnerabilities through red-teaming and exploratory data analysis, developing models to predict attacker behaviour before widespread exploitation.
\nTechnical Leadership: Drive the technical roadmap for integrity and security, mentoring senior engineers and influencing cross-functional stakeholders on security investment priorities.
\nQualifications:
\nBachelor's, Master's, or PhD degree in Computer Science, Cybersecurity, Mathematics, or a related field, with 10+ years of related experience.
\nDeep technical expertise in Cybersecurity, Anti-Abuse, or Adversarial Machine Learning.
\nStrong programming skills in C++ or Python (at least one is required), with experience in building production-quality security or ML systems.
\nHands-on experience in one or more of the following: Web Security standards and Authentication Protocols (OAuth, OIDC).
\nMalware analysis, de-obfuscation, or reverse engineering.
\nBuilding fraud detection models at scale.
\nProven ability to design and implement defence mechanisms against complex abuse vectors (e.g., botnets, synthetic identity, evasion/cloaking).
\nStrong communication and collaboration skills, with experience articulating complex security risks to business and product leadership.
\nPreferred Qualifications:
\n5+ years of experience in an Adversarial/Trust & Safety role at a major internet platform or cybersecurity firm.
\nFamiliarity with the Ad-Tech stack (RTB, OpenRTB) and associated fraud incentives.
\nBackground in Graph Neural Networks (GNNs) for fraud ring detection or behavioural biometrics.
\nTrack record of impact via security research publications, patents, or contributions to industry security standards.
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\nAs a Principal Product Manager (PM) for the Search & AI team, you’ll architect solutions that reason, plan, and act across applications, the web, and the OS, empowering users to accomplish complex tasks with intelligence and reliability.
\nYou’ll join a high-impact team that uses the cutting edge of generative model and applies to high-value product experiences across Search and Copilot.
\nSearch & AI Experiences team thrives on rapid innovation, cross-functional collaboration, and a culture that values curiosity, autonomy, and bold problem-solving.
\nWe work across a range of experiences spanning from user intent understanding, semantic understanding of queries and documents, vector-based information retrieval, generating card answers and user experiences and generative query suggestions.
\nWe also work on leading edge of Responsible AI techniques to ensure high quality user interactions.
\nWe seek PMs who have shipped 0-to-1 agentic products at leading AI startups or labs, great product sense and user experience instincts, driven growth or mindshare in the AI space, and excel in fast-paced, ambiguous environments.
\nIf you’re energized by building the future of generative AI experiences and want to shape how intelligent agents empower millions, we want to hear from you!
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more.
\nAs employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.
\nEach day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
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\nAbout the Role Copilot for consumers depends on a rock-solid identity foundation that makes personalized AI experiences safe and seamless across Windows, Edge, web, and mobile. We’re seeking a hands-on Principal Software Engineer to define and lead the strategy for authentication, authorization, and account systems across Copilot experiences, partnering deeply with Microsoft’s central identity platform and related teams.
\nResponsibilities Identity strategy & architecture: Define the end-to-end identity vision for consumer Copilot and MAI, covering user/account models, sign-in, session management, token issuance/validation, service-to-service auth, and cross-device experiences. Cross-surface platform leadership: Drive common authentication/SSO patterns and SDKs for Windows, Edge, web, iOS, and Android; ensure seamless UX and consistent security controls across consumer surfaces and modalities. Collaborate with product, engineering, security, privacy, and identity teams across Copilot, MAI and IDNA to drive improvements in authentication, identity, and security. Influence technical direction and best practices across a large, distributed system, ensuring alignment and adoption of key initiatives. Establish, monitor, and continuously improve key authentication metrics across Copilot and MAI. Collaborate with engineering, product, and identity teams to align on a unified ground truth and leverage dashboards for ongoing measurement and root cause analysis Align with central Microsoft Account roadmaps, influence platform capabilities, and land them in Copilot and MAI consumer scenarios at scale. Define and document authentication patterns and requirements for AI-powered, agential flows. Ensure these patterns address novel risks, support secure delegation, and enable safe orchestration of actions across devices and services. Hands-on engineering: Ship secure, well-tested, maintainable code and frameworks that other teams can adopt quickly. Product mindset: Balance customer experience with consumer-grade security, privacy, and compliance expectations for Copilot. Work closely with globally distributed teams, managing effective communication, coordination, and project delivery across multiple time zones. Foster strong cross-regional partnerships to drive identity and authentication improvements at scale.
\nQualifications Required Qualifications: Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Preferred Qualifications: Master’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience integrating with Microsoft Account, and familiarity with consumer identity features. Cross-platform delivery: Shipped identity flows and SDKs across multiple consumer client platforms (Windows, macOS, iOS, Android, web). Governance & lifecycle: Familiarity with consumer identity lifecycle management and privacy controls. Privacy/Compliance: Experience embedding privacy-by-design and meeting consumer compliance expectations for Copilot-class workloads. Leadership: Track record mentoring senior engineers and driving adoption of platform standards across many product teams.
\n#MicrosoftAI Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
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\nUsers turn to Copilot for support in all types of endeavors, making it critical that we ensure our AI systems behave safely and align with organisational values.
\nYou may be responsible for developing new methods to evaluate LLMs, experimenting with data collection techniques, implementing safety orchestration methods and mitigations, and training content classifiers to support the Copilot experience.
\nWe’re looking for outstanding individuals with experience in machine learning or machine learning infrastructure who are also strong communicators and great teammates. The right candidate takes the initiative and enjoys building world-class, trustworthy AI experiences and products in a fast-paced environment.
\nMicrosoft’s mission is to empower every person and every organisation on the planet to achieve more.
\nAs employees we come together with a growth mindset, innovate to empower others, and collaborate to realise our shared goals.
\nEach day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nStarting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.
\nThis expectation is subject to local law and may vary by jurisdiction.
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\nIn the world of LLM with agent flourishing, we are a team of engineers, PMs and designers that is tasked to find and render the ads with most appealing layout, and contribute to the overall bing/MSAN revenue. To help us achieve our ambitious goals to significantly grow the ads delivering and increase adoption of our MSAN platform, we are looking for a collaborative and seasoned Principal SDE to join our team.
\nThe role provides an exciting opportunity to contribute to ads UX and infrastructure for ads serving. If you are excited of joining an entrepreneurial and diverse team to respond to global demand and new scenario and deliver world class product, look no further!
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nStarting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
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\nThe Microsoft Sports Data Engineering team within Microsoft AI is seeking a Senior Software Engineer responsible for designing data ingestion platforms and services, upholding reliable data management standards, and developing and delivering data-driven solutions. These efforts collectively support the creation of advanced, innovative sports experiences.
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nResponsibilities:
\nQualifications:
\nPreferred Qualifications:
\nSoftware Engineering IC4
\nThe typical base pay range for this role across Canada is CAD $114,400 – CAD $203,900 per year.
\nThis position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
\nMicrosoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable law.
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\nThis role sits at the intersection of applied machine learning, generative AI, and product experience, with clear ownership of core shopping intelligence used directly in user-facing Copilot experiences. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nStarting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
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\nAs a Technical Program Manager on the Marketplace Management team, you will own critical components of this ecosystem, driving product capabilities, partner integrations, and marketplace health initiatives that shape the future of Microsoft Ads.
\nThe role requires deep analytical judgment to evaluate publisher-level and ecosystem-level performance, identify structural opportunities, and influence long-term marketplace direction. This role demands exceptional cross-functional leadership, driving alignment and decisions across Microsoft Advertising, Engineering.
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\nManage the end-to-end lifecycle of marketplace capabilities for Search publishers, including defining requirements, prioritizing features, and driving execution across engineering teams.
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\nEnsure marketplace configurations, policies, and controls are aligned with business goals and partner commitments.
\nDrive strategic discussions with Search publishers to understand their marketplace commitments, identify gaps, and align on improvements that strengthen the ecosystem.
\nContinuously analyze marketplace health metrics, including traffic quality, revenue performance, discrepancy trends, and partner-specific signals.
\nInvestigate anomalies or discrepancies, synthesize insights, and recommend corrective actions to internal teams and external partners.
\nBuild frameworks, dashboards, and processes that improve visibility into marketplace performance and enable proactive issue detection.
\nCollaborate closely with engineering, data science, product management, and business development to deliver high-impact marketplace improvements.
\nDrive alignment across teams by articulating problem statements, defining success metrics, and ensuring timely execution of deliverables.
\nManage program risks, dependencies, and communication plans to keep stakeholders informed and accountable.
\nQualifications:
\nBachelor’s Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
\n3+ years of experience managing cross-functional and/or cross-team projects.
\nAbility to meet Microsoft, customer and/or government security screening requirements are required for this role.
\nThese requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
\nPreferred Qualifications:
\nBachelor’s Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience.
\n8+ years of experience managing cross-functional and/or cross-team projects.
\nProficient use of data analysis tools (e.g., Kusto, SQL, Python) and comfort working with large datasets.
\n#MicrosoftAI #Ads #Advertising #A/BTesting #Experimentation
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\nWe built a platform to provide an open, transparent marketplace and powerful enterprise technology enabling marketers to connect and engage consumers on thousands of high-quality websites and apps. The Monetize Platform is an advanced buy-side and sell-side advertising technology platform that enables buyers and sellers to access and trade premium inventory in a transparent and streamlined environment.
\nMicrosoft is hiring an experienced Senior Software Engineer to join the Auction Logic team, specifically focused on build, test, deploy, and monitoring. As a Senior Software Engineer, you will lead the cross-team engineering efforts to build business critical products for publishers and buyers on the Monetize platform. You will collaborate with a team of smart, passionate engineers. You will own significant areas of the Monetize real-time platforms and function as the architect. You will participate in setting the roadmap and direction for your areas of responsibility.
\nAbout the team: The mission of the Auction Logic team is to create the digital marketplace with a purpose of accurately connecting advertisers (buyers) and publishers (sellers) in the most effective and efficient way possible. The team is responsible for building and operating a set of core components of Monetize real-time platform, specifically the distributed set of servers that runs an auction for every ad impression, delivers the ad content, and performs all the necessary accounting.
\nAbout the job: As a technical leader, you’ll design and implement solutions that span multiple applications on the real-time platform, are high quality, require hard real-time constraints, are easy to operate and maintain, and make the lives of product engineers easier. You will own or influence significant parts of the platform and allied areas. You will work closely with other engineers and our product teams, to not only make these systems go faster and handle more and more data, but also to build revolutionary new products for our clients.
\nResponsibilities will include: Designing and implementing scalable solutions including new features and enhancements of our Platform. Participating in and helping lead planning sessions with Product Management and Engineering team leads to constructing feature requirements and specifications. Produce prototype features quickly and participate in gathering feedback from clients. Bring innovation to the team in new features, improving build processes and product development lifecycle. Participate in code reviews and provide feedback to increase code efficiency, maintainability and robustness. Support and debug production level issues and provide fixes in an expedient manner. Mentor junior engineers on best practices in software development.
\nMore about you: You are focused on building high-quality, intuitive products. You are passionate about learning and teaching. You love challenging yourself to constantly improve and sharing your knowledge to empower others. You view processes as a means and not an end, preferring lean or automated approaches to ensure quality and productivity. You are not satisfied with the status quo and are always looking to improve how things are done and what is built.
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nStarting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
\nWorks with appropriate stakeholders to determine user requirements for a set of features. Contributes to the identification of dependencies, and the development of design documents for a product area with little oversight. Creates and implements code for a product, service, or feature, reusing code as applicable. Contributes to efforts to break down larger work items into smaller work items and provides estimation. Acts as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems. Remains current in skills by investing time and effort into staying abreast of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.
\nQualifications: Required Qualifications: Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire.
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\nAs a Principal Software Engineer, you will provide technical leadership across the full Mico engineering stack. You will drive architecture decisions, set the engineering quality bar, and lead a globally distributed team spanning the US, Japan, and China in building and scaling one of Microsoft’s most visible consumer AI experiences. You will be responsible for the Picasso rendering engine, cross-platform animation delivery, LLM orchestration, long-term memory systems, and the adaptive personalisation framework that makes Mico feel alive.
\nMicrosoft’s mission is to empower every person and every organisation on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realise our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nResponsibilities:
\nOwn the end-to-end system architecture for the Mico experience, spanning 3D rendering (Picasso stack / Babylon Native), real-time character animation, lip-sync, locomotion, and expression systems.
\nDesign and evolve the LLM orchestration layer that powers Mico’s conversational intelligence, including prompt management, skill routing, and context window optimisation.
\nArchitect the long-term memory system (Cosmos DB) , defining schemas, event handling, message partitioning, and retrieval strategies that enable Mico to remember and adapt to each user.
\nDrive the adaptive personalisation framework that governs how Mico adjusts behaviour, tone, and interaction patterns based on user history and preferences.
\nArchitect solutions that work consistently across CMC (web), iOS, Android, and Windows surfaces, defining shared rendering abstractions and platform-specific optimisations.
\nCoordinate Unified UI integration , ensuring Mico’s visual presence (header, footer, composer, snap-to positioning) works seamlessly with the Copilot shell across all form factors.
\nOwn the asset pipeline: CDN-delivered 3D models, video backgrounds, animation configs, and per-surface configuration files (e.g., mico_config_cmc.json, mobile configs).
\nPerformance, Reliability, and Observability: Design systems for millions of daily active users , low-latency rendering, efficient asset delivery via CDN, graceful degradation on low-end devices, and robust error recovery.
\nBuild and maintain observability dashboards using Azure Data Explorer (Kusto) to monitor Mico engagement, conversation duration, animation frame rates, and error rates across surfaces.
\nPartner with data science to design controlled flights and ablation experiments, interpret telemetry, and use data to guide decisions.
\nQualifications:
\nRequired Qualifications:
\nBachelor’s degree in computer science or a related technical discipline, along with at least 8 years of engineering experience, including proficiency in programming languages such as C++, C#, Java, JavaScript, or Python.
\nExtensive expertise in iOS and/or Android development; strong full-stack engineering capabilities with comprehensive knowledge of consumer product development.
\nDemonstrated ability to lead through influence, establishing technical direction for teams of 3–10 engineers across US, Japan, and China time zones.
\nExperienced in conducting architecture reviews, design sprints, and technical alignment sessions.
\nSolid background in AI, including hands-on experience developing AI products or integrating AI into daily development processes.
\nSpeaking English is required for daily work.
\nPreferred Qualifications:
\nAbility to establish automated evaluation pipelines for 3D animation fidelity, lip-sync accuracy, expression transitions, and locomotion smoothness , a frontier challenge unique to character AI.
\nAbility to drive mobile E2E test coverage and improve staging environment fidelity, so issues are caught before production.
\nAbility to define and enforce quality gates in CI/CD pipelines, ensuring regressions in animation rendering, voice interaction, and Mico Moments content delivery are caught automatically.
\nAbility to own the security posture for Mico systems , S360 compliance, resource ownership audits, and data classification for user memory and personalisation data.
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\nOur vision is bold and broad , to build the next generation of AI Agents with world-class orchestration and inference layers,foundational systems that will redefine how personal AI reasons, acts, and scales.
\nYou will get to closely partner with our Research teams who are building the next generation of foundational models.
\nHere is a quick peek into our vision:
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\nWe define and orchestrate disruptive multi-agent flows that enable coordinated, emergent intelligence across systems.
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\nResponsibilities:
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\nWork collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation AI products and services.
\nShip high-quality, well-tested, secure, and maintainable code.
\nFind a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
\nEnjoy working in a fast-paced, design-driven, product development cycle.
\nEmbody our Culture and Values.
\nQualifications:
\nRequired Qualifications:
\nBachelor’s Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
\nPreferred Qualifications:
\nBachelor’s degree in computer science, or related technical discipline AND 6+ years technical engineering experience building web applications with coding in languages including, but not limited to, Python, C#, C++, Rust, Java OR equivalent experience.
\n6+ years’ experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP.
\nExtensive use datastores like RDBMS, key-value stores, etc.
\n6+ years’ experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking.
\nExperience working with AI platforms, frameworks, and APIs.
\nExperience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.
\nAbility to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
\nDedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
\nDemonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
\nAbility to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
\nPassion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.
\nAbility to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
\nProven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
\nSoftware Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year.
\nThere is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.
\nCertain roles may be eligible for benefits and other compensation.
\nFind additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
\nSoftware Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
\nThere is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.
\nCertain roles may be eligible for benefits and other compensation.
\nFind additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
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\nWe’re looking for an experienced Site Reliability Engineer (SRE) to join our infrastructure team. In this role, you’ll blend software engineering and systems engineering to keep our large-scale distributed AI infrastructure reliable and efficient. You’ll work closely with ML researchers, data engineers, and product developers to design and operate the platforms that power training, fine-tuning, and serving generative AI models.
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\nStarting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
\nResponsibilities:
\nArchitect and maintain scalable, reliable, and observable Big Data Infrastructure for mission-critical AI applications. Champion DevOps and SRE best practices,automated deployments, service monitoring, and incident response. Build a self-service big data platform that empowers data and platform engineers and researchers. Develop robust CI/CD pipelines and automate infrastructure provisioning using Infrastructure as Code tools (Bicep, Terraform, ARM). Collaborate with Data Engineers, Data Scientists, AI Researchers, and Developers to deliver secure, seamless big data workflows. Lead technical design reviews and uphold a clean, secure, and well-documented codebase. Proactively identify and resolve bottlenecks in data pipelines and infrastructure. Optimize system performance across storage, compute, and analytics layers. Partner with Security teams to enhance system security (IAM, OAuth, Kerberos). Embody and promote Microsoft’s values: Respect, Integrity, Accountability, and Inclusion.
\nQualifications:
\nRequired Qualifications: Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.
\nPreferred Qualifications: 4+ years in Big Data Infrastructure, DevOps, SRE, or Platform Engineering. 3+ years of hands-on experience managing and scaling distributed systems,from bare-metal to cloud-native environments. 2+ years deploying containerized applications using Kubernetes and Helm/Kustomize. Solid scripting and automation skills using Python, Bash, or PowerShell. Proven success in CI/CD pipeline management, release automation, and production troubleshooting. Experience working with Databricks for scalable data processing and analytics. Familiarity with security practices in infrastructure environments, including IAM, OAuth, and Kerberos administration. Proven experience with cloud-native infrastructure across Azure, AWS, or GCP. Hands-on expertise with modern data platforms like Databricks, including: Deep understanding of data storage and processing technologies: Relational & NoSQL databases Key-value stores. Spark compute engines. Distributed file systems (e.g., HDFS, ADLS Gen2). Messaging systems (e.g., Event Hub, Kafka, RabbitMQ). Capacity planning and incident management for large-scale big data systems. Solid collaboration history with Data Engineers, Data Scientists, ML Engineers, Networking, and Security teams. Familiarity with modern web stacks: TypeScript, Node.js, React, and optionally PHP. Exposure to agentic workflows, deep learning, or AI frameworks. Practical experience integrating LLMs (e.g., GPT-based models) into daily workflows,automating documentation, code generation, reviews, and operational intelligence. Solid grasp of prompt engineering techniques to design, optimize, and evaluate interactions with LLMs. Demonstrated ability to troubleshoot and resolve complex performance and scalability issues across infrastructure layers. Excellent interpersonal and communication skills, with a solid passion for mentorship and continuous learning. Experience applying LLMs to DevOps workflows, enhancing incident response, and streamlining cross-functional collaboration is a solid advantage.
\n#MicrosoftAI #mai-datainsights #mai-datainsights
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\nWe're assembling a world-class team of builders with backgrounds in healthcare, big tech, and frontier AI research labs. Our goal is to translate cutting-edge research,like MAI-DxO (microsoft.ai/new/the-path-to-medical-superintelligence),into transformative products for millions of users across copilot.com and Microsoft’s consumer ecosystem.
\nWe're looking for engineers who are self-starters, care deeply about user experience, and take pride in solving real customer needs. You’ll collaborate in a fast-paced, iterative environment to bring innovative technology to life, with safety, reliability, and scale front and centre.
\nWe’re hiring across multiple domains: backend, web, mobile, and GenAI. If you have a strong technical spike in one or more of these areas and a proven track record of crafting high-impact user experiences, we’d love to hear from you.
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\nWe're looking for an experienced Engineering Manager with solid hands-on skills in machine learning, data platforms, and distributed systems to lead the development of AI Insights, a next-generation Copilot analytics product.
\nWe're looking for someone with experience leading product development leveraging data pipelines, data science, and machine learning, as well as a solid communicator and great teammate.
\nThe right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.
\nMicrosoft's mission is to empower every person and every organization on the planet to achieve more.
\nAs employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.
\nEach day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nResponsibilities:
\nQualifications:
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\nAs part of Microsoft AI, our team is taking a giant step in advancing and incorporating AI into our search experience, delivering new and exciting AI creation features with state-of-the-art models. There is no limit to creativity in our work, at a scale and reach that is unmatched.
\nAs a Senior Applied Scientist in Bing Multimedia AIGC team, you will help us to build and improve AIGC experiences on Bing, that are extensible and usable on other Windows products, including Copilot. You will research and develop an understanding of metrics, tools, data workflows, hill-climbing methods used to measure AIGC’s success metric, and deep analysis of our product quality to inform strategic business directions.
\nTogether with our business owners, you will be challenged with defining the best business measurement methodology to prove a working business model for how Search and Creations integrate as one product. You will also have the opportunity to fine-tune optimizations for our creation models.
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nResponsibilities:
\nLeverages data analysis knowledge to clean, transform, analyze, integrate, and organize data to the level required by the analysis techniques selected.
\nDevelops useable datasets for modeling purposes.
\nScales the feature ideation and data preparation.
\nTakes cleaned or raw data and adapts data that for machine learning purposes.
\nUses understanding of which features are important that come out of the model and identifies the optimal features.
\nIdentifies gaps in current datasets and drives onboarding of new datasets.
\nWorks with team to optimize signal system design.
\nIdentifies gaps in current datasets and drives onboarding of new datasets (e.g., bringing on third-party datasets).
\nLeverages or designs and uses machine learning/data extraction, transformation, and loading (ETL) pipelines (e.g., data collection, cleaning) based on data prepared and guides team to do so.
\nInfluences the direction of the team.
\nEstablishes the pipeline so that the team can conduct all of their experiments and data processing.
\nUses data pipelines for training, as well as for shipping models which should execute correctly.
\nEstablishes collaborative relationships with relevant product and business groups inside or outside of Microsoft and provides expertise or technology to create business impact.
\nTakes initiative and drives activities such as technology transfers attempts, standards organizations, filing patents, authoring white papers, developing or maintaining tools/services for internal Microsoft use, or consulting for product or business groups.
\nMay publish research to promote receiving new intellectual property for business impact.
\nIndependently works to create product impact.
\nIdentifies approach, and applies, improves, or creates a research-backed solution (e.g., novel, data driven, scalable, extendable) to positively impact a Microsoft product.
\nDesigns an approach to solve significant business problems shared by a senior team member.
\nMay publish research to promote receiving new intellectual property for product impact.
\nPerforms documentation of work in progress, experimentation results, plans, etc.
\nDocuments scientific work to ensure process is captured.
\nCreates informal documentation and may share findings to promote innovation within group or with other groups.
\nUses deep understanding of fairness and bias.
\nMay contribute to ethics and privacy policies related to research processes and/or data/information collection by providing updates and suggestions around internal best practices.
\nSeeks to identify potential bias in the development of products.
\nHelps address scalability problems by adjusting to stakeholder needs.
\nWorks with large-scale computing frameworks, data analysis systems, and modeling environments to improve models.
\nApplies the model to real products, and then verifies effects through iterations.
\nExperiments by putting multiple models in production and evaluating their performance.
\nContinues to monitor how algorithm performs against expected behaviors and performance or accuracy guardrails.
\nMonitors over time for input and output data that there are changes over time.
\nUses system to run analyses on an ongoing basis such as by comparing predicted value with actual value.
\nCollaborates with others and helps lead others to leverage data to identify pockets of opportunity to create state-of-the-art algorithms to improve a solution to a business problem.
\nConsistently leverages knowledge of techniques to optimal analysis using algorithms.
\nIdentifies opportunity areas regarding new statistical analyses and drives solutions.
\nUses statistical analysis tools or modifies existing tools for evaluating Machine Learning models and validates assumptions about the data while also reviewing consistency against other sources.
\nRuns basic descriptive, diagnostic, predictive, and prescriptive statistics.
\nRepresents the team’s insights.
\nCharacterizes the customer’s problem through metrics to measure the quality of machine learning systems.
\nCalibrates metrics to support decision making for data (e.g., gaining awareness of ideal metrics and use of metrics).
\nQualifications:
\nDoctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
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\nThis role operates at principal scope and impact. The TPM will own the end-to-end management of metrics, analysis, and insight generation across the organization, including defining and building new metrics, evolving measurement frameworks, and developing a deep understanding of the business as a whole. The role drives meaningful impact by identifying opportunities through data and translating them into action across teams.
\nAs part of this work, the TPM is expected to use AI-enabled tools to operationalize key aspects of the role, which may include building internal applications, agents, or automated processes that scale analysis, streamline workflows, and improve the quality and speed of execution,without owning model development or research.
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nResponsibilities:
\nMetrics Access, Accuracy & Operational Stewardship
\nWork across Bing Multimedia to ensure clear, consistent access to key metrics, including product performance, quality, usage, and business outcomes. Partner with product, engineering, and data teams to ensure metrics are accurate, up-to-date, and surfaced in the appropriate dashboards and reporting tools. Act as a steward for metric quality by proactively identifying data inconsistencies, gaps, or anomalies, and working with the appropriate owners to resolve issues before they impact decision-making or leadership reporting.
\nAnalytical Problem Solving & Insight Enablement
\nAsk the right questions when data does not look correct or align with expectations, and lead efforts to understand why,including root-cause analysis across data pipelines, definitions, or upstream systems. Translate complex or ambiguous data issues into clear problem statements, working collaboratively with teams to diagnose and address underlying causes. Enable high-quality insight generation by ensuring metrics and datasets are reliable, well-understood, and fit for purpose.
\nOpportunity Identification & Business Impact
\nUse metrics and analysis to identify trends, risks, and opportunities across Bing Multimedia. Partner with product, engineering and business leaders to align on priorities and drive action based on insights surfaced through data. Ensure insights lead to follow-through and measurable business impact, not just reporting.
\nAI-Enabled Tooling, Automation & Workflow Improvement
\nLeverage AI-enabled tools to operationalize and scale analytics, reporting, and insight generation. Build or prototype internal applications, agents, or automated processes that improve metric accessibility, streamline workflows, and reduce manual effort. Continuously identify opportunities to improve the quality, speed, and reliability of analysis and reporting through automation and AI-assisted workflows.
\nTechnical Program Leadership & Cross-Organizational Execution
\nLead technically complex, cross-organizational initiatives related to metrics, reporting, and analytics enablement. Drive alignment in ambiguous problem spaces by clearly communicating goals, success criteria, dependencies, and risks. Influence without authority through solid communication, judgment, and collaboration, ensuring issues are surfaced early and addressed effectively.
\nVendor & Partner Collaboration
\nManage a set of external vendors to support metrics, analytics, reporting, or tooling efforts as appropriate. Provide clear direction and context to vendors, ensuring their work meets internal quality standards and integrates seamlessly with existing dashboards and workflows. Monitor and validate vendor outputs to ensure accuracy, reliability, and alignment with business needs.
\nQualifications:
\nRequired Qualifications:
\nBachelor’s Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
\n3+ years of experience managing cross-functional and/or cross-team projects.
\nPreferred Qualifications:
\nBachelor’s Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience.
\nProven experience leading complex, cross-functional technical programs that delivered measurable product, quality, or business impact.
\nDemonstrated ability to perform hands-on data analysis, working directly with raw datasets to derive insights, identify issues, and inform decision-making.
\nExperience working across teams to define, evolve, validate, and operationalize metrics, datasets, and measurement frameworks, ensuring accuracy and readiness for leadership reporting.
\nSolid technical foundation with the ability to engage deeply on data pipelines, system design, and AI-enabled tooling, sufficient to diagnose issues and drive resolution with partner teams.
\nTrack record of influencing senior product and engineering leaders through clear communication, sound judgment, and data-driven insights.
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\nWe’re looking for a Principal Software Engineer (Frontend/Full Stack) to help shape the future of shopping in Copilot. This role is for an engineering leader who can set technical direction, drive end-to-end execution across client experiences, services/APIs, data contracts, telemetry/experimentation, and operational excellence, and raise the bar on craftsmanship and reliability at scale.
\nYou’ll operate as a multiplier: influencing architecture and quality across multiple workstreams, partnering closely with Product, Design, Data Science, and other engineering teams, and unblocking delivery by diving deep wherever needed,frontend, backend, or data/measurement. You’ll bring strong engineering judgment, a bias for clarity and velocity, and an ability to translate customer problems into durable technical solutions.
\nMicrosoft’s mission is to empower every person and every organisation on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realise our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nStarting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
\nSet technical direction and drive execution for Copilot Shopping experiences end-to-end, with a strong bar for frontend quality (UX polish, accessibility, performance, reliability). Lead architecture across the stack: client (web/mobile), services/APIs, data contracts, telemetry/experimentation, and operational tooling. Partner with Product, Design, and Data Science to define success metrics, instrument telemetry, run experiments, and iterate based on outcomes.
\nDrive engineering excellence across the team via design reviews, code reviews, testing strategy, CI/CD, and performance/quality standards. Own live-site health: improve observability, monitoring/alerting, incident response, and reduce time-to-diagnosis through systemic fixes. Decompose ambiguous problems, align stakeholders, and deliver durable solutions that improve scalability, maintainability, and developer velocity.
\nMentor senior engineers, raise the technical bar, and amplify impact through documentation, best practices, and cross-team collaboration.
\nQualifications
\nPreferred Qualifications
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\nWe are a dynamic team of engineers and applied scientists, pushing the boundaries of Generative AI to deliver cutting-edge tools that drive impact at scale. We are looking for a Principal Applied Scientist to lead the development of the Copilot Chat Assistant to help advertisers navigate every step of their journey.
\nYou will design and productionize systems that orchestrate multiple Large Language Models (LLMs) using Agentic Frameworks (e.g., Semantic Kernel) and leverages Vector Databases, Retrieval Augmented Generation (RAG), and Model Context Protocol (MCP) based tools to solve complex, multi-step tasks. Your work will directly impact the topline revenue metrics for Microsoft Advertising.
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nResponsibilities:
\nOwn the science roadmap for Copilot Chat Assistant – from ideation to reliable, safe production launches.
\nDesign multi-agent reasoning systems that blend LLM orchestration, tool use, and state management for long-running tasks.
\nBuild robust retrieval pipelines (RAG + vector stores) for precise, grounded answers across advertiser and campaign domains.
\nAdvance prompt/program design (planning, decomposition, self-reflection, evaluation) to boost accuracy, latency, and cost efficiency.
\nShip real features with engineering partners: telemetry, online evaluations/A-B tests, guardrails, red-teaming, and quality bars.
\nMentor and multiply: guide applied scientists and engineers, set best practices, and raise the bar for scientific rigor.
\nMeasure impact: define success metrics, instrument experiments, and iterate quickly based on data and customer feedback.
\nQualifications:
\nRequired Qualifications:
\nBachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
\nOR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
\nOR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
\nOR equivalent experience.
\nPreferred Qualifications:
\nMaster’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
\nOR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
\nOR equivalent experience.
\n5+ years experience developing and deploying live production systems, as part of a product team.
\n7+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
\nExperience using LLMs, agentic frameworks, RAG, vector databases to build complex production systems.
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\nAbout the Role Copilot for consumers depends on a rock-solid identity foundation that makes personalized AI experiences safe and seamless across Windows, Edge, web, and mobile. We’re seeking a hands-on Principal Software Engineer to define and lead the strategy for authentication, authorization, and account systems across Copilot experiences, partnering deeply with Microsoft’s central identity platform and related teams. You’ll tackle novel risks at the frontier of agential AI, applying proven solutions and inventing new ones where needed. This role demands a rare blend of deep backend engineering expertise, mastery of modern consumer identity protocols, and the ability to make sound trade-offs between risk and velocity,keeping Copilot moving fast while raising the security and reliability bar.
\nWhy This Role Matters Your work will secure AI experiences for hundreds of millions of users worldwide, shaping how people trust and interact with Microsoft’s most transformative products. If you thrive on solving hard technical problems at scale, influencing architecture across platforms, and building systems that balance speed and trust, this is your opportunity to make a global impact.
\nResponsibilities Identity strategy & architecture: Define the end-to-end identity vision for consumer Copilot and MAI, covering user/account models, sign-in, session management, token issuance/validation, service-to-service auth, and cross-device experiences. Cross-surface platform leadership: Drive common authentication/SSO patterns and SDKs for Windows, Edge, web, iOS, and Android; ensure seamless UX and consistent security controls across consumer surfaces and modalities. Collaborate with product, engineering, security, privacy, and identity teams across Copilot, MAI and IDNA to drive improvements in authentication, identity, and security. Influence technical direction and best practices across a large, distributed system, ensuring alignment and adoption of key initiatives. Establish, monitor, and continuously improve key authentication metrics across Copilot and MAI. Collaborate with engineering, product, and identity teams to align on a unified ground truth and leverage dashboards for ongoing measurement and root cause analysis Align with central Microsoft Account roadmaps, influence platform capabilities, and land them in Copilot and MAI consumer scenarios at scale. Define and document authentication patterns and requirements for AI-powered, agential flows. Ensure these patterns address novel risks, support secure delegation, and enable safe orchestration of actions across devices and services. Hands-on engineering: Ship secure, well-tested, maintainable code and frameworks that other teams can adopt quickly. Product mindset: Balance customer experience with consumer-grade security, privacy, and compliance expectations for Copilot. Work closely with globally distributed teams, managing effective communication, coordination, and project delivery across multiple time zones. Foster strong cross-regional partnerships to drive identity and authentication improvements at scale.
\nQualifications Required Qualifications: Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Preferred Qualifications: Master’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience integrating with Microsoft Account, and familiarity with consumer identity features. Cross-platform delivery: Shipped identity flows and SDKs across multiple consumer client platforms (Windows, macOS, iOS, Android, web). Governance & lifecycle: Familiarity with consumer identity lifecycle management and privacy controls. Privacy/Compliance: Experience embedding privacy-by-design and meeting consumer compliance expectations for Copilot-class workloads. Leadership: Track record mentoring senior engineers and driving adoption of platform standards across many product teams.
\n#MicrosoftAI Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
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\nWe're looking for an experienced Engineering Manager with solid hands-on skills in machine learning, data platforms, and distributed systems to lead the development of AI Insights, a next-generation Copilot analytics product.
\nWe're looking for someone with experience leading product development leveraging data pipelines, data science, and machine learning, as well as a solid communicator and great teammate.
\nThe right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.
\nMicrosoft's mission is to empower every person and every organization on the planet to achieve more.
\nAs employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.
\nEach day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nStarting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.
\nThis expectation is subject to local law and may vary by jurisdiction.
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\nOwn technical strategy for trend detection, cohort analysis, and drill-down workflows linking quantitative metrics to qualitative conversation evidence.
\nPrototype and productionize ML models for anomaly detection and predictive insights.
\nEnsure compliance and security for data handling across telemetry, logs, and conversation datasets.
\nCollaborate with PMs, data scientists, and UX to define roadmap and deliver intuitive, high-impact workflows.
\nDrive integration with existing platforms (Azure Data Bricks and other Microsoft internal systems) and ensure reliability, scalability, and cost efficiency.
\nHave solid experience in ML systems, anomaly detection, and large-scale data processing.
\nGeneralize machine learning (ML) solutions into repeatable frameworks.
\nIndependently write efficient, readable, extensible code and model pipelines.
\nCommit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.
\nBe hands-on with observability (metrics, tracing, logs) and model evaluation frameworks.
\nQualifications:
\nRequired Qualifications:
\nBachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
\nPreferred Qualifications:
\nMaster's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
\nProven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.
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\nDemonstrated interest in Responsible AI.
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\nResponsibilities: Define Copilot’s Identity & Expression strategy across text, voice, and UI-aware surfaces, including how AI agents express reasoning, confidence, uncertainty, and progress. Own Mico as the reference implementation of Copilot Identity & Expression, ensuring it evolves as a platform capability rather than a standalone feature. Translate expressive and agentic AI capabilities into clear enterprise value, such as onboarding, workflow guidance, and reduced cognitive load. Define enterprise trust models for expressive AI, including governance, admin control, safety constraints, and predictable failure modes. Lead AI evaluation strategy for expressive and agentic experiences, defining quality bars beyond accuracy: trust, tone, appropriateness, and user confidence. Use Japan as a strategic design and enterprise pilot market, incorporating cultural sensitivity, politeness, and indirect guidance into global Copilot standards. Partner closely with engineering, design, research, security, legal, and go-to-market teams across Japan, the US, and China to deliver aligned Copilot experiences. Communicate product vision and trade-offs clearly to executive stakeholders, representing Identity & Expression as a core Copilot system.
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\nWe’re looking for a senior product leader to own this transformation end to end. You will be the single accountable person for MSN monetization strategy, product development, and revenue performance. You’ll work across engineering, sales, leadership, and finance to ship products that grow the business while improving the user experience.
\nAs employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
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\nDeep understanding of the programmatic advertising ecosystem.
\nExperience building and shipping premium ad products (sponsorships, branded content, high-impact placements) and working with sales teams to bring them to market.
\nDemonstrated ability to own a revenue target and deliver against it.
\nYou’re comfortable presenting financial performance to senior leadership and making real-time tradeoffs between short-term yield and long-term positioning.
\nTrack record of operating independently across multiple teams (engineering, sales, editorial, finance) without needing someone else to broker alignment for you.
\nSolid product sense for ad formats and user experience.
\nExperience at a large-scale content or media platform (news, video, social, or aggregation) where you’ve dealt with the specific dynamics of editorial trust, ad quality perception, and brand safety.
\nFamiliarity with audience data infrastructure: identity resolution, match rates, first-party data activation, and privacy-compliant targeting at scale.
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\nOur vision is bold and broad , to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all , consumers, businesses, developers , so that everyone can realize its benefits.
\nMicrosoft AI (MAI) is seeking experienced Product Engineers to help build the Copilot web experiences which are available on copilot.microsoft.com , Edge Browser and Window OS. You’ll work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind.
\nWe value engineers who are self-starters, care deeply about the end user experience, and take pride in building products to solve customer needs.
\nIn this role, you will:
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\nEmbody our Culture and Values
\nQualifications
\nRequired Qualifications
\nBachelor’s degree in computer science, or related technical discipline AND 4+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React OR equivalent experience.
\nPreferred Qualifications
\nBachelor’s degree in computer science, or related technical discipline AND 10+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React OR Master’s Degree in Computer Science, or related technical discipline AND 8+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React OR equivalent experience.
\nHave 0 to 1 experience with a bias towards shipping and learning, while balancing a high-quality bar.
\nThrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.
\nEnjoy working closely with cross-functional partners and teammates in an inclusive, curious culture.
\nTake a user-centric approach to product development, prioritizing solutions that result in the best user experience and have the technical expertise to pull it off.
\nSoftware Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year.
\nSoftware Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
\nThis position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
\nMicrosoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.
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\nOur vision is bold and broad , to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all , consumers, businesses, developers , so that everyone can realize its benefits.
\nWe’re looking for an experienced Site Reliability Engineer (SRE) to join our infrastructure team. In this role, you’ll blend software engineering and systems engineering to keep our large-scale distributed AI infrastructure reliable and efficient. You’ll work closely with ML researchers, data engineers, and product developers to design and operate the platforms that power training, fine-tuning, and serving generative AI models.
\nResponsibilities:
\nReliability & Availability: Ensure uptime, resiliency, and fault tolerance of AI model training and inference systems.
\nObservability: Design and maintain monitoring, alerting, and logging systems to provide real-time visibility into model serving pipelines and infra.
\nPerformance Optimization: Analyze system performance and scalability, optimize resource utilization (compute, GPU clusters, storage, networking).
\nAutomation & Tooling: Build automation for deployments, incident response, scaling, and failover in hybrid cloud/on-prem CPU+GPU environments.
\nIncident Management: Lead on-call rotations, troubleshoot production issues, conduct blameless postmortems, and drive continuous improvements.
\nSecurity & Compliance: Ensure data privacy, compliance, and secure operations across model training and serving environments.
\nCollaboration: Partner with ML engineers and platform teams to improve developer experience and accelerate research-to-production workflows.
\nQualifications:
\nRequired Qualifications:
\n4+ years of experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering roles.
\nStrong proficiency in Kubernetes, Docker, and container orchestration.
\nKnowledge of CI/CD pipelines for Inference and ML model deployment.
\nHands-on experience with public cloud platforms like Azure/AWS/GCP and infrastructure-as-code.
\nExpertise in monitoring & observability tools (Grafana, Datadog, OpenTelemetry, etc.).
\nStrong programming/scripting skills in Python, Go, or Bash.
\nSolid knowledge of distributed systems, networking, and storage.
\nExperience running large-scale GPU clusters for ML/AI workloads (preferred).
\nFamiliarity with ML training/inference pipelines.
\nExperience with high-performance computing (HPC) and workload schedulers (Kubernetes operators).
\nBackground in capacity planning & cost optimization for GPU-heavy environments.
\nWork on cutting-edge infrastructure that powers the future of Generative AI.
\nCollaborate with world-class researchers and engineers.
\nImpact millions of users through reliable and responsible AI deployments.
\nCompetitive compensation, equity options, and comprehensive benefits.
\nSoftware Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year.
\nSoftware Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
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\nAs one applied scientist in the team, your major responsibilities include: Thinking through the product scenarios and goals, identifying key challenges and designing experimental processes for iteration and optimization. Offline model training and optimizing, collaborating with platform teams on online serving and perf optimization for shipping. Keeping on track of research trends in the fields of personalized recommendation, deep learning, and AI. Working independently and collaboratively with other team members.
\nQualifications: Master/PhD in computer science or related fields focusing on machine learning and AI. 3+ years' experiences in areas of machine learning, natural language processing, or large-scale data mining. Solid coding skills and good experience on deep learning frameworks like PyTorch, TensorFlow, CNTK, etc. Preferred: Working/research experiences on recommendation areas are good plus. Good communication skills and self-motivation.
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\nWe’re seeking a hands-on Principal Software Engineer to lead the development of security features and innovative solutions that harness agentic AI to both protect our customers and enable new agentic capabilities in Copilot. You’ll design, build, and ship AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale.
\nThis role demands deep engineering expertise, creativity in applying agentic AI to security challenges, and a passion for building systems that balance innovation with trust.
\nYour work will directly shape how hundreds of millions of users experience safe, trustworthy, and innovative AI. You’ll be at the forefront of defining how agentic AI can proactively defend users, mitigate emerging threats, and unlock new secure scenarios,making a global impact on Microsoft’s most transformative products.
\nAs employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nStarting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
\nResponsibilities:
\nDevelop and ship agentic AI-powered security features that proactively protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows.
\nDesign and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms.
\nInvent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy.
\nCollaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices across Copilot and MAI.
\nEstablish and monitor key metrics for agentic AI security and innovation, using data-driven insights to continuously improve defenses and enablement.
\nAlign with central Microsoft security and AI roadmaps, influencing platform capabilities and landing them in Copilot and MAI consumer scenarios.
\nDocument and evangelize secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions.
\nMentor engineers and foster a culture of secure innovation, balancing rapid development with rigorous protection for customers.
\nQualifications:
\nRequired Qualifications:
\nBachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
\nPreferred Qualifications:
\nMaster’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
\n8+ years in technical engineering roles building large-scale services.
\n6+ years hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses.
\nProven ability to design, build, and ship agentic AI features or frameworks.
\nAbility to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps.
\nExperience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns.
\nHands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments.
\nExperience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses; understanding of AI safety evaluation methodologies including adversarial testing and red-teaming.
\nExperience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview).
\nTrack record of mentoring experienced engineers, driving adoption of secure agentic AI standards across product teams, and influencing technical roadmaps while balancing innovation velocity with fundamentals.
\n#MicrosoftAI Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.
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\nWe are seeking an experienced Senior Engineering Leader to build, scale, and run a high-performing engineering organisation responsible for Copilot AI Evaluation. This is a role for a proven people leader who has built and managed multi-team organisations , someone who has hired and developed engineering managers, set organisational strategy, and delivered large-scale technical programmes across multiple workstreams.
\nYou will own the engineering vision for LLM evaluation at Copilot, partnering directly with senior Eng and Product leadership to define priorities, drive execution, and raise the bar on engineering excellence. We are looking for a leader who combines deep technical judgement with a passion for growing people and building high-trust, high-velocity teams.
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\nQualifications:
\nExperience Level: senior Employment Type: full-time Workplace Type: hybrid Category: Engineering Industry: Technology Salary Range: $139,900 - $274,800 per year Salary Min: 139900 Salary Max: 274800 Salary Currency: USD Salary Period: year Required Skills: C, C++, C#, Java, Javascript, Python Preferred Skills: LLM evaluation, AI quality measurement, ML infrastructure
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\nAbout the Role Copilot for consumers is entering a new era of agentic AI, where intelligent agents act on behalf of users across Windows, Edge, web, mobile, and third-party products. We’re seeking a Senior Software Engineer to help develop security features and solutions that harness agentic AI to protect customers and enable new capabilities in Copilot.
\nResponsibilities Develop and ship agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows. Implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms. Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy. Collaborate with product, engineering, security, privacy, and AI teams to adopt agentic security patterns and best practices across Copilot and MAI. Monitor key metrics for agentic AI security and innovation, using data-driven insights to improve defenses and enablement. Document secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions.
\nQualifications Required Qualifications: Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Preferred Qualifications: 3+ years in technical engineering roles building large-scale services. Hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses. Proven ability to design, build, and ship agentic AI features or frameworks. Agentic AI Development & Orchestration: Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns. Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments. Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses; understanding of AI safety evaluation methodologies including adversarial testing and red-teaming. Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview). Track record of mentoring less experienced engineers, driving adoption of standards and best practices across teams, and influencing technical roadmaps while balancing innovation velocity with fundamentals.
\n#MicrosoftAI Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.
\nThis position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
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\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nStarting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
\nResponsibilities: Drive execution for Measurement programs: Translate PRDs into actionable execution plans across conversion tracking, attribution, cross-channel measurement, viewability, and third-party measurement integrations. Coordinate cross-functional teams: Partner with Product, Engineering, Data Science, and Privacy stakeholders to ensure alignment, unblock issues, and deliver on commitments. Lead program execution and delivery: Run core program routines including planning, dependency management, risk tracking, status reviews, and executive communications. Shepherd releases end-to-end: Oversee development, quality validation, launch readiness, and post-launch monitoring for measurement features and platforms. Define and drive success metrics: Partner with Product and Engineering to identify meaningful success metrics for measurement solutions, and ensure telemetry and reporting are in place to track progress and outcomes. Ensure data quality and reliability: Drive solid practices around event pipelines, telemetry, data validation, and system observability to ensure accurate and trusted measurement.
\nQualifications: Required Qualifications: Bachelor’s Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience. 3+ years of experience managing cross-functional and/or cross-team projects. Additional or Preferred Qualifications: Bachelor’s Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience. 8+ years of experience managing cross-functional and/or cross-team projects. 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos). Demonstrated ability to translate PRDs into shipped outcomes across multiple engineering teams and systems. Solid expertise in dependency management, risk mitigation, planning, and release execution. Excellent communication and stakeholder management skills, including executive-level updates. Experience working closely with Engineering Managers and Software Engineers in highly technical environments. Solid technical fluency with event pipelines, telemetry systems, data quality validation, and large-scale data processing. Experience with advertising measurement, conversion tracking, attribution, experimentation, or analytics platforms.
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