We are looking for a Principal Data Scientist leader, creative modeling geeks who are willing to work in a dynamic environment to solve real life day to day problems, leveraging data science techniques. You will enjoy and be successful in this role if you are curious and willing to challenge the status quo and come up with data driven solutions to ambiguous problems.

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. 

• Measurement: Define, invent, and deliver metrics which accurately measure user and business value across various products and marketplace components.
• Experimental Design: Think critically about sampling and experimental design across User and Demand dimensions.
• Product Iteration: Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve.
• Cooperation: Partner effectively with program management, engineers, and other areas of the business across our Consumer online business
• Influence: engage with stakeholders to produce clear, compelling, and actionable insights and data-science driven workflows that influence product and service improvements.
• Make 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.

Required 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.
• 5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++
• Experience in applying statistics, designing experimentation and metrics particularly in Advertising platforms.

Preferred Qualifications:

• Organizational, analytical, data science skills and intuition .
• Problem solver: ability to solve problems that the world has not solved before ,
• Interpersonal skills: cross-group and cross-culture collaboration. 
• Experience with real world system building and data collection, including design, coding and evaluation.  
• Excellent communication to be able to communicate insights to senior leaders.
• Experience with driving large collaboration across multiple teams.
• Experience with communicating with different audiences to provide insights.
• Demonstrated experience in applying statistics, experimentation and metrics to generate clear actionable insights.

Data Science IC5 – The typical base pay range for this role across the U.S. is USD $142,800.00 – $274,800.00 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 $188,000.00 – $304,200.00 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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft 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. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you looking for an opportunity to impact millions of users every day? Are you excited that your code runs on billions of devices and that your contribution helps shape the future of agentic commerce across Microsoft surfaces?

The MAI Payments team builds next‑generation payment, checkout, and agentic‑commerce infrastructure that powers Copilot, Edge, Bing, and MSN. We deliver secure, privacy‑preserving, and compliant payment and merchant‑integration systems that enable users, creators, merchants, and partners to unlock the full value of digital assets.

As a Senior Software Engineer, you will design and implement client applications, cloud services, SDKs, and distributed systems that operate at global scale. You will work closely with product, design, and engineering partners to build reliable, high‑quality commerce platforms while maintaining solid engineering, security, and operational standards.

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.

• Collaborates with appropriate stakeholders to determine user and system requirements for XPay scenarios.
• Drives identification of dependencies and the development of design documents for services, applications, and platforms.
• Designs, implements, debugs, refactors, and optimizes backend services, APIs, and distributed systems to improve performance, reliability, and maintainability.
• Develops high‑quality, extensible code used across large‑scale microservices and payment systems.
• Acts as a Designated Responsible Individual (DRI) and participates in on‑call rotations to monitor services, respond to incidents, and restore service health for simple and complex issues.
• Proactively seeks new knowledge and applies modern engineering practices to improve availability, reliability, efficiency, observability, and operational consistency at scale.
• Plays a key role in shaping software architecture by making sound tradeoffs informed by both technical and business considerations.
• Collaborates with engineers across teams to surface common pain points, develop solutions, and evangelize best practices.

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 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Experience building and operating large‑scale distributed systems and microservices in a cloud environment (Azure preferred).
• Solid backend engineering experience, including API design, service‑to‑service communication, and data consistency patterns.
• Full‑stack development experience with modern frontend on Web & Mobile such as JavaScript/TypeScript, React and iOS/Android.
• Experience with payment systems, checkout flows, wallets, or commerce platforms.
• Experience driving technical initiatives that span multiple teams or organizations.
• Data‑driven mindset with solid analytical, communication, and collaboration skills.

#MicrosoftAI #Fullstack #AI #Commerce #AgenticCommerce #XPay #MAI

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 $160,200 – $261,000 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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft 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. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you looking for an opportunity to impact millions of users every day? Are you excited that your code runs on billions of devices and that your contribution helps shape the future of agentic commerce across Microsoft surfaces?

The MAI Payments team builds next‑generation payment, checkout, and agentic‑commerce infrastructure that powers Copilot, Edge, Bing, and MSN. We deliver secure, privacy‑preserving, and compliant payment and merchant‑integration systems that enable users, creators, merchants, and partners to unlock the full value of digital assets.

As a Senior Software Engineer, you will design and implement client applications, cloud services, SDKs, and distributed systems that operate at global scale. You will work closely with product, design, and engineering partners to build reliable, high‑quality commerce platforms while maintaining solid engineering, security, and operational standards.

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.

• Collaborates with appropriate stakeholders to determine user and system requirements for XPay scenarios.
• Drives identification of dependencies and the development of design documents for services, applications, and platforms.
• Designs, implements, debugs, refactors, and optimizes backend services, APIs, and distributed systems to improve performance, reliability, and maintainability.
• Develops high‑quality, extensible code used across large‑scale microservices and payment systems.
• Acts as a Designated Responsible Individual (DRI) and participates in on‑call rotations to monitor services, respond to incidents, and restore service health for simple and complex issues.
• Proactively seeks new knowledge and applies modern engineering practices to improve availability, reliability, efficiency, observability, and operational consistency at scale.
• Plays a key role in shaping software architecture by making sound tradeoffs informed by both technical and business considerations.
• Collaborates with engineers across teams to surface common pain points, develop solutions, and evangelize best practices.

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 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Experience building and operating large‑scale distributed systems and microservices in a cloud environment (Azure preferred).
• Solid backend engineering experience, including API design, service‑to‑service communication, and data consistency patterns.
• Full‑stack development experience with modern frontend on Web & Mobile such as JavaScript/TypeScript, React and iOS/Android.
• Experience with payment systems, checkout flows, wallets, or commerce platforms.
• Experience driving technical initiatives that span multiple teams or organizations.
• Data‑driven mindset with solid analytical, communication, and collaboration skills.

#MicrosoftAI #Fullstack #AI #Commerce #AgenticCommerce #XPay #MAI

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 $160,200 – $261,000 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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft 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. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Conversational commerce introduces challenges that differ from traditional web shopping. Preferences emerge through dialogue, expectations for accuracy and trust are high, and systems must reason over context and frequently changing commerce data.

Microsoft Copilot is building shopping experiences that are conversational, proactive, and trustworthy. As a Principal Applied Scientist, you will lead the development of machine learning and generative AI systems that power product discovery, ranking, personalization, and reasoning across Copilot shopping surfaces. This 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.  

• Design, build, and productionize machine learning models for product discovery, ranking, recommendation, and personalization using large-scale commerce and behavioral data.
• Develop LLM-based systems for conversational shopping, including prompt design, retrieval-augmented generation, tool orchestration, and grounding against structured commerce data.
• Address quality and trust challenges such as hallucination risk, stale data, and recommendation reliability.
• Define evaluation frameworks and experimentation strategies for conversational and proactive shopping scenarios, including offline metrics and online experiments.
• Partner closely with product, engineering, and design teams to translate models into low-latency, reliable Copilot experiences.
• Provide technical leadership for applied science within Copilot Shopping through design reviews, mentoring, and setting quality standards.
• Contribute to model governance and Responsible AI practices to ensure trustworthy and compliant systems.

Required Qualifications:

• Bachelor’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)
  • OR 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)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.

Preferred Qualifications:

• Master’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)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• 3+ years of hands-on experience developing machine learning or statistical models to solve real-world problems (in industry or academic projects), including building and validating algorithms such as regressions, classifiers, or clustering models.
• Proficiency in programming for data science (e.g. using Python or R for data analysis and modeling) and experience with data querying languages (e.g. SQL).
• Big Data & Distributed Computing: Hands-on experience with large-scale data processing using tools like Apache Spark or Azure Databricks for training and inference workflows.
• Advanced Analytics: Skilled in time-series analysis and anomaly detection techniques (e.g., ARIMA, isolation forests) applied to business contexts for actionable insights.
• LLMs & Domain Adaptation: Practical experience with prompt engineering, fine-tuning GPT-like models, and applying LLMs in domain-heavy areas (healthcare, agriculture, social sciences) while ensuring privacy and Responsible AI compliance.

#MicrosoftAI #copilot #shopping

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.

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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft 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. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you an experienced backend engineer with a passion for building large scale distributed systems to enable more innovations on the search, recommendation, and AI services and products. Are you passionate about working as a tech leader to architect and drive cutting-edge techniques such as LLM, Ranking, Index Serving in large scale like 100K+ nodes by collaborating with ML/AI data scientists? Bing IndexServe team have a Principal Architect position to meet your technical expertise.Bing Fundamentals focuses on providing a search and recommendation platform for Microsoft internal partners using the documentation recall and reranking backend service suite. As a team, we manage one of the world’s largest distributed systems and have experienced great success in building efficient large scale distributed systems for search. Now, the team has a per decade rare opportunity to simplify the serving stack, to serve the biggest index in the most efficient way, and to drive up the relevance innovations with advanced deep learning and Large Language model techniques. The agility of engineering and deployment also presents as a big challenge when handling such a complex system. As Bing embraces the newest LLM innovations, the need for IndexServe to build up AI intelligence is becoming bigger.Within Bing Fundamentals, we are the IndexServe team, and we have the exciting responsibility of trying to tackle these challenges. As a team, we are trying to build the most agile, performant, stable, experientable yet efficient index serving platform. On this platform, relevance techniques can be quickly implemented, iterated, qualified and flighted to evaluate their customer impacts with convenience while full-funnel debuggability. The same platform also provides all the cutting edged techniques and utilities, like deep learning, machine learning, LLM, C# rankers. It has the most advanced AI toolset for our scientists to innovate, and for our products to serve the most relevant documents. #MAI#*Please include the video*

Required/minimum qualifications

Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $165,600 – $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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft 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. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Our Signals Modeling team builds the intelligence that powers how the advertising marketplace understands user behavior, measures impact and optimizes outcomes from initial impressions through downstream conversions and long-term advertiser value.

We develop large-scale learning systems that infer intent and causal effects from incomplete and noisy feedback, enabling principled decision-making across ranking, bidding, pricing, and budget allocation. Our work sits at the foundation of marketplace optimization, where accurate attribution and measurement directly influence billions in advertising spend.

The team designs and operates state-of-the-art modeling platforms spanning representation learning, weak-supervision, multi-objective training, calibration, and rigorous experimentation. We transform sparse engagement signals into reliable learning targets and build models that remain robust under delayed conversions, selection bias, and rapidly shifting marketplace dynamics.

As a Principal Applied Scientist, you will help define the future of data-driven attribution and causal measurement, shaping the methodologies that determine how value is estimated and optimized across the ecosystem. You will partner across research, engineering, and product leadership to introduce advanced inference techniques into production systems operating at massive scale.

This is a high-ownership role focused on solving structurally hard problems where ground truth is limited, experimentation is non-trivial, and scientific rigor is essential to unlocking durable marketplace advantage.

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.

• Define and drive the scientific and technical strategy for data-driven attribution (DDA) and causal measurement across advertising systems.
• Establish methodologies for incrementality estimation, counterfactual learning, delayed-feedback modeling, and bias correction in environments with partial observability.
• Lead the design and production adoption of attribution and causal inference frameworks that improve bidding, ranking, optimization, and advertiser ROI at web scale.
• Set evaluation standards that distinguish correlation from causation and elevate experimental rigor across teams.
• Identify capability gaps and introduce advanced research, tools, or modeling approaches to strengthen measurement foundations.
• Operate across organizational boundaries to align research, engineering, product, and business leaders on measurement strategy.
• Serve as a subject-matter expert and technical advisor on attribution and causal inference.
• Mentor scientists and influence technical direction to raise the organization’s scientific bar.

Required Qualifications:

• Bachelor’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)
  • OR 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)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.

Preferred Qualifications:

• Master’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)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• Demonstrated track record of setting technical direction for large-scale machine learning or statistical systems that delivered measurable business impact.
• Deep expertise in causal inference, data-driven attribution, treatment effect estimation, counterfactual learning, or experimental design — applied in production environments.
• Experience leading ambiguous, high-impact initiatives where ground truth is limited and methodological rigor is critical.
• Proven ability to influence strategy and drive adoption of new measurement or modeling approaches beyond an immediate team.
• Significant experience developing and deploying production ML systems across multiple stages of the product lifecycle.
• Solid scientific judgment with a history of selecting appropriate methodologies under real-world constraints.
• Exceptional communication skills with the ability to translate complex technical concepts into guidance for senior technical and business leaders.
• Recognized expertise in attribution, incrementality, marketplace experimentation, or causal ML.
• Track record of driving multi-year research or modeling agendas that materially improved product outcomes.
• Experience defining measurement strategy for advertising platforms, marketplaces, or large-scale recommendation systems.
• Publications, patents, or widely adopted internal methodologies in causal inference, experimentation, econometrics, or applied machine learning.
• History of mentoring senior scientists and elevating organizational scientific capability.
• Experience influencing director- or VP-level technical strategy.

#MicrosoftAI 

Applied Sciences IC5 – The typical base pay range for this role across the U.S. is USD $142,800 – $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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft 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. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Microsoft AI Monetization is a customer-first organization dedicated to building the next generation of AI-powered products that serve our customers’ business goals. Our Design, Research & Content team is a creative community on a mission to create and deliver holistic experiences for Advertisers, Publishers, Sellers and Consumers. By leveraging our deep understanding of the user and our business acumen, we are driving the future of advertising and monetization in the era of AI. Our diverse team works collaboratively to develop products and ideas which impact billions of customers worldwide. 

We’re a small, friendly, diverse and fast-moving creative team, supporting one another to do the best work of our lives. We are always looking to break new ground with an unshakeable dedication to the user. We are proud of what we build, how we build it, and that our products will define the AI era while earning the trust of our users. We prioritize quality, meaningful innovation and polish, and always root our decisions in research and evidence. Your work will have real and immediate impact. 

Our core values guide our work:

• Quality. We only deliver category-defining products that delight with their ease of use, guaranteed reliability, and beautiful, coherent design.    
• Simplicity. We don’t overcomplicate. Less is more, always.    
• Safety & Security. The highest standards of security, safety and responsibility are non-negotiable across all our business areas.    
• Evaluation. We pay close attention to signals and aren’t afraid to change course when data and our experience tells us to. We are also careful with our metrics, focusing on delivering long-term sustainable value.
• Kindness. Kindness is at the heart of our org and how we conduct ourselves. We care for, and support and respect one another, beginning again and learning every day.  

This role will be part of our Monetization Inventory Design team, which is focused on supporting the current and future monetization experiences for Microsoft Copilot, Bing (including Copilot Search), MSN, gaming, and other key consumer surfaces. You will work on everything from traditional advertising experiences to future state explorations that leverage AI technology to redefine traditional ways of interacting with computers and the underlying business models for monetization. Your work will be at the heart of change within the advertising industry.

As a Principal Product Designer, you will bring the technical skills, leadership, and passion that will help us to build the next wave of monetization-centered capabilities for our consumers. You can drive the end-to-end process of setting a design vision and delivering the work necessary for innovative zero-to-one products.

The right candidate for this role takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment. You are a player/coach, willing to spend time to lift up those around you. You create a vision and direction for the products you support and are skillful at winning buy in for your work. You are a maker and tinkerer, hungry to build new things with new tools. You are actively using AI (e.g. vibe coding), and when comparing yourself to other designers, you are on the leading edge of reinventing our discipline of design.  You are adaptable and scrappy, with the ability to move quickly to new methodologies, processes, technologies, and products to get things done. You recognize the role of designer has fundamentally changed – we are also product managers, engineers, and researchers; you don’t stand behind a role description – you do what needs to be done to make things happen. You are a highly effective communicator and recognize that the best designers are also exceptional storytellers. You have an abundance of energy, empathy, and kindness and are a positive catalyst for action. Finally, you are passionate about figuring out how to make the new technologies around us serve our users and the business in an equally meaningful fashion.

Beyond the specifics of this role and this team, you we be part of Microsoft’s mission 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. 

Are you ready to help us create the future?

By applying to this U.S. Mountain View, CA position you are required to be local to the San Francisco area and in office 4 days a week. Redmond, WA candidates are required to be local to the greater Seattle metropolitan area and in office 4 days a week.

• Ship world-class AI-powered experiences (complex, non-deterministic) that delight consumers with an emphasis on craft, quality, trust, and positive user and societal impact.
• Stay aware of new technological innovations within AI and bring these new innovations into our products and team’s design practices.
• Own the user experience for a product area/domain – be responsible for understanding user needs and behaviors, ensure product requirements are defined, and maintain a strategic lens for how the product evolves.
• Collaborate with other product leaders to manage the end-to-end product development process, and maintain accountability for user experience quality.
• Exhibit cross-functional communication and dependency management, scoping and scheduling.
• Find your own path to get things done despite roadblocks; ensure your work gets into the hands of users quickly and plan for continued iteration.
• Continually raise the bar for excellence and product quality; drive accountability for these standards.
• Enjoy working in a fast-paced, design-driven, product development cycle.   
• Partner with product teams to define goals and performance indicators – both business and customer success metrics. Set up and oversee experiments and evaluate effectiveness with data and research.   
• Collaborate effectively and communicate clearly with cross-functional teams, including product managers, engineers, sales, and other designers.

Required Qualifications:

• Master’s Degree in Industrial Design, Product Design, Human Computer Interaction, User Experience, Interaction Design, or related field AND 6+ years experience working in product or service design
  • OR Bachelor’s Degree in Industrial Design, Product Design, Human Computer Interaction, User Experience, Interaction Design, or related field AND 8+ years experience working in product or service design
  • OR equivalent experience (e.g., demonstrated experience working in product or service design or using design thinking to solve problems)

Portfolio Note: 

• A portfolio or work samples that demonstrate experience designing world class consumer products from vision through launch. This portfolio should include direct evidence of designing with AI/code (i.e. vibe coding).

Preferred Qualifications:

• A portfolio or work samples that demonstrate experience designing world class consumer products from vision through launch. (please include password if applicable)
• Proven track record of setting design vision for innovative products that require bold thinking and risk taking.
• Experience prompting LLMs, working with generative AI, and understanding how to meaningfully integrate AI into products to help customers accomplish their goals.
• Experience with designing in code (vibe coding) to deliver prototypes quickly, exploring underlying technologies to drive innovation within products.
• Prototype-level engineering experience with HTML/CSS/JavaScript or other development languages such as Python. 
• Demonstrate high craft in design work; must value craft and translate vision into well-polished design prototypes.  
• Ability to break large bodies of work into a phased execution plan, and lead a cross-functional team from idea to polished implementation.  
• Experience that demonstrates proven ability to advocate for design thinking, effectively influence design outcomes, discover problems and address them in a fast-paced and ambiguous environments.  
• Experience identifying research needs, and then diving into the results, leveraging both qualitative and quantitative signals for design direction and refinement.
• Ability to own your work in a start-up like environment. This includes managing multiple priorities and adapting to ever-changing requirements and deadlines.  
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.  
• Experience with designing in code (vibe coding) to deliver prototypes quickly, exploring underlying technologies to drive innovation within products.
• Optional, but meaningful: Prototype-level engineering experience with HTML/CSS/JavaScript or other development languages such as Python.  

#MicrosoftAI #Design #Monetization

Product Design IC5 – The typical base pay range for this role across the U.S. is USD $142,800.00 – $274,800.00 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 $188,000.00 – $304,200.00 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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft 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. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Microsoft AI (MAI) builds an integrated consumer AI ecosystem across search, browsing, and content, focused on delivering trustworthy, scalable experiences with durable user and business value. The MAI Ecosystem Data Science Team owns MAI‑wide metrics, shared measurement systems, and experimentation frameworks to enable consistent, high‑confidence decisions and optimize MAI‑level outcomes. 

We are seeking a Principal, Data Science & Analytics for ecosystem data science to own cross product measurement strategy, partner across product and business teams, and uphold a high bar for metric quality, statistical rigor, and data driven leadership. 

We are looking for high-energy Data Scientist, creative modeling geeks who are willing to work in a dynamic environment to solve real life day to day problems, leveraging data science techniques. You will enjoy and be successful in this role if you are curious and willing to challenge the status quo and come up with data driven solutions to ambiguous problems. 

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.

As a Principal, Data Science and Analytics in the team, your major responsibilities include:  

• Leadership: Mentor data scientists and align work with MAI ecosystem goals, driving technical excellence, innovation, and cross-team collaboration.
• Data Strategy & Execution: Develop ecosystem data strategies for marketplace and system performance, including standardized data collection, analysis, reporting, and interpretation; validate analytical approaches and results.
• Advanced Analytics & Measurement: Apply machine learning, statistical modeling, data mining, and experimentation to large datasets; define and deliver metrics that accurately measure user and business value across products and marketplace components.
• Experimental Design & Implementation: Design and execute experiments across user and demand dimensions; translate strategy into clear, actionable, and measurable plans, sharing progress and results with stakeholders.
• Collaboration: Partner closely with product, program management, engineering, and business teams to integrate data science solutions into shared platforms and marketplace operations.
• Performance Optimization: Identify cross-team opportunities for product and process improvement; implement data-driven solutions to improve efficiency, reliability, and user experience.
• Influence & Decision-Making: Engage stakeholders with clear, compelling, and actionable insights; make independent decisions for the team and handle complex tradeoffs to drive product and service improvements.
• Technical & Operational Leadership: Develop and standardize processes for data acquisition, quality, and operationalizing ML models; provide expert review of analysis and modeling; lead adoption of new tools and technologies to improve availability, reliability, efficiency, and performance.
• Standards & Trusted Advisory: Establish and uphold standards, policies, and best practices for high-quality, efficient, and extensible code; influence business, customer, and solution strategy with a strong customer focus; act as a trusted advisor across the ecosystem.

Required 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.

Preferred Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ 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 10+ 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 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.

#MicrosoftAI 

Data Science IC5 – The typical base pay range for this role across the U.S. is USD $142,800.00 – $274,800.00 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 $188,000.00 – $304,200.00 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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft 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. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

We are hiring for a Principal Product Manager with a proven track record of building AI-driven creative products that help advertisers produce high-quality assets at scale, drive measurable performance, and maintain brand integrity across every format and surface.

In this role, you will own the vision, strategy, and roadmap for Microsoft Advertising’s Creative products. You will partner closely with Data Science, Engineering, UX, Product Marketing, Legal, and Finance to design solutions that enable advertisers to create the right creative, in the right format, in an evolving automation-first landscape.

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.

• Product Leadership: Develop and communicate the strategy and roadmap for creative automation, GenAI asset generation, and creative quality systems across Microsoft’s ad ecosystem.
• Customer Advocacy: Represent the product to advertisers and agencies, deeply understand their creative workflows, and champion those needs internally.
• Execution & Decision-Making: Navigate ambiguity, make tough prioritization decisions, and drive alignment across engineering, design, and business stakeholders.
• Communication & Collaboration: Partner effectively with Sales, Marketing, Business Development, Legal, and other cross-functional teams to deliver cohesive creative product outcomes.
• Data & AI Innovation: Collaborate with Data Science and ML teams to leverage creative performance signals and generative models that elevate asset quality and safeguard brand trust at scale.
• Go-to-Market Leadership: Lead go-to-market efforts with marketing and sales, ensuring product launches drive adoption, improve creative coverage, and deliver measurable advertiser impact.
• Industry Leadership: Establish Microsoft as a leader in responsible AI-powered creative advertising by shaping internal practices and influencing industry standards.

Required Qualifications:

• Bachelor’s Degree AND 8+ years experience in product/service/program management or software development
  • OR equivalent experience.
• Strong understanding of ads ecosystem, including creatives, targeting, measurement, or optimization

Preferred Qualifications:

• Bachelor’s Degree AND 12+ years experience in product/service/program management or software development
  • OR equivalent experience.
• 6+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework).
• 8+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn).
• 8+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product).
• 5+ years experience developing digital advertising creative products, including creative automation, generative AI asset pipelines, or ad format and quality systems.

#MicrosoftAI 

Product Management 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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft 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. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

We seek a Senior Applied Scientist with expertise in Machine Learning, Generative AI, Agentic Modeling, Data Science, or related areas. The ideal candidate should be passionate about generative modeling, experimental prompt tuning, and large-scale modeling optimization. The candidate should have hands-on experience on working with LLMs, or SLMs such as Qwen, Llama or its variants. Microsoft AI unites product, engineering, and science teams to advance Bing and Consumer Copilot, aiming to provide the best generative search experience through advanced AI/ML technologies and innovative AI features.

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.

• Building and owning production machine learning models to improve results.
• Working hands on with SOTA generative models like Qwen, Llama, Mistral, GPT and others, to deliver big impact.
• Finding insights and forming hypothesis on large-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, NLP, optimization.
• Professional working experience on prompt engineering with large LLMs like GPT, Gemini, Claude etc. 
• Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them.
• Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own. All programming languages are welcome, especially Python, C#, R, C++, Java, and SQL.
• Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decisions.

Required Qualifications:

• Bachelor’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)
  • OR 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)
  • OR 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)
  • 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/transfer and every two years thereafter.

Preferred Qualifications:

• Master’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)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• Proficient oral and writing skills. 

#MicrosoftAI #ML #GenAI

Applied Sciences IC4 – The typical base pay range for this role across the U.S. is USD $119,800.00 – $234,700.00 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 $160,200.00 – $261,000.00 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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft 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. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.