The Bing organization is looking for a Data and Applied Scientist for its online metric team. The team is pushing the boundaries regarding online A/B experimentation capabilities and methods, as well as informs our understanding for how users engage with search engines and integrated AI experiences, and then translates the insights into actionable metrics. These metrics provide direction to the the Bing and MAI organization and help engineers make the right ship decisions for their thousands of online controlled experiments. 

Hundreds of millions of users visit Bing.com worldwide monthly, and we have a large opportunity to grow further. At Bing, we celebrate our data driven culture: changes only ship when their impact is understood and positive. This role is a great opportunity to make solid, and even multiplicative impact on the org.   

As 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. Come join us! 

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.

• Design, analyze, and interpret A/B online experiments to evaluate user engagement and generate actionable, trustworthy insights that inform product decisions. 
• Perform hands-on analysis of large-scale telemetry data using advanced statistical methods, algorithms, and data tools to uncover meaningful patterns and trends. 
• Develop and monitor key success metrics to measure and improve Bing customer satisfaction, engagement, and retention. 
• Formulate data-driven strategies to understand correlations among critical Bing metrics and deliver clear, rigorous ship decisions. 
• Effectively communicate analytical methodologies, data visualizations, and evidence-based recommendations across cross-functional teams to drive alignment and impact.  

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
  • OR Master’s Degree 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 consulting experience
  • OR Bachelor’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)
  • OR equivalent experience.

Preferred 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.
• Experience 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. 

#MicrosoftAI #Search #MAI #nextplay 

Data Science IC3 – The typical base pay range for this role across the U.S. is USD $100,600 – $199,000 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 $131,400 – $215,400 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.

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

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

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 building the future of responsible, intelligent monetization—empowering customers, partners, and developers through innovative platforms that are privacy-resilient, data-informed, and deeply customer-centric. Our organization spans a wide range of monetization experiences and infrastructure, including advertising, publisher, measurement, identity, privacy, and CRM/martech solutions.

We are looking for a Senior Product Marketing Manager to join our team and lead customer listening, go-to-market strategy, positioning, and adoption for one or more critical areas within our Publisher and Platform portfolio. This could include products such as Microsoft Clarity, Microsoft Monetize, Microsoft Curate, third-party DSP integrations, privacy and identity solutions, and CRM/martech solutions.
This is a strategic, high-impact role for a seasoned marketer who thrives at the intersection of product, customer, and market. You will partner closely with product management, sales, and marketing teams to shape product direction, craft compelling value propositions, and drive adoption through thoughtful go-to-market execution. You’ll bring clarity to complexity, advocate for customer needs, and help define how Microsoft delivers value to our customers and partners.

If you are passionate about building scalable, customer-centric platforms and want to help shape the future of advertising technology, we’d love to hear from you.

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.

• Customer Listening & Market Insights: Lead customer listening strategies and market intelligence efforts to uncover growth opportunities, inform investment priorities, and shape the product roadmap. Partner with field teams to engage directly with clients, synthesize feedback, and translate insights into actionable recommendations. Conduct competitive analysis to assess market dynamics, identify Microsoft’s differentiation, and anticipate business implications. Drive the development of insights from user research, industry trends, and market signals to influence product and business decisions.
• Product Positioning, Messaging & Value Proposition: Define and evolve differentiated product positioning and value propositions that resonate with customer needs and business outcomes. Develop clear, compelling messaging frameworks supported by proof points and aligned across internal stakeholders. Enable partner teams with client-facing narratives and assets, and contribute to marquee product launches through blog posts, event presentations, and other storytelling formats.
• Go-to-Market Strategy & Execution: Lead cross-functional v-teams to develop and execute go-to-market strategies that drive product adoption, customer satisfaction, and business impact. Set clear goals and success metrics, and orchestrate marketing and sales motions across channels. Plan and deliver high-impact launch strategies, leveraging key industry moments and first-party events to maximize visibility and engagement.
• Enablement & Scaling: Ensure internal teams—including Sales, Marketing, and Learning & Development—are equipped with the knowledge and tools to effectively communicate our roadmap, positioning, and value. Lead strategic training sessions and develop scalable enablement materials that drive clarity, confidence, and excitement around product offerings.
• Growth Mindset & Inclusive Innovation: Champion a culture of continuous learning and inclusive thinking. Proactively seek feedback from diverse customers and stakeholders to uncover new opportunities and reduce bias in AI-driven products. Foster open dialogue, encourage reflection, and ensure all voices are heard in shaping product and marketing strategies.

Required Qualifications:

• Master’s Degree in in Marketing, Computer Science, Business or related field AND 3+ years experience in business
  • OR Bachelor’s Degree in Marketing, Computer Science, Business or related field AND 5+ years experience in business
  • OR equivalent experience.

Preferred Qualifications:

• Master’s Degree in Marketing, Computer Science, Business or related field AND 6+ years experience in business
  • OR Bachelor’s Degree in Marketing, Computer Science, Business or related field AND 8+ years experience in business
  • OR equivalent experience.
• 3+ years of experience in Product Marketing, Product Management, or similar roles, leading cross-organizational teams and working with Engineering partners.
• 3+ years of experience in applying different customer listening approaches to inform and influence product development.
• 3+ years of experience in product positioning and value proposition, with experience in leading differentiated value propositions and translating complex features into compelling narratives.
• Experience in Advertising, Monetization & Publisher Ecosystems: Committed understanding of the digital advertising landscape—across agency, publisher, or brand perspectives. Experience with publisher platforms and monetization strategies is especially valuable. Familiarity with alternative models such as subscriptions is a plus.
• Strategic Agility & Adaptability: Demonstrated ability to navigate ambiguity, iterate on new concepts, and respond effectively to changing priorities. Brings a growth mindset, curiosity, and a proactive approach to exploring new ideas and business models.
• Cross-Functional Collaboration & Influence: Experience working across teams to build alignment, drive shared outcomes, and resolve complex issues. Skilled at fostering solid partnerships and communicating effectively with diverse stakeholders.
• Analytical & Data-Driven Decision Making: Solid problem-solving skills grounded in data. Able to identify trends, generate hypotheses, and test solutions to inform strategy and scale impact.
• Go-to-Market Innovation & Category Development: Experience launching disruptive products and driving demand for new or emerging product categories. Skilled in crafting go-to-market strategies that shape market perception and accelerate adoption.
• AI & Emerging Technology Familiarity: Exposure to generative AI products—professionally or as a power user. Understanding of AI agents and their potential in marketing and advertising scenarios. Awareness of the evolving AI landscape and its implications for monetization. 

#MicrosoftAI #maimonetization

Product Marketing IC4 – The typical base pay range for this role across the U.S. is USD $106,400 – $203,600 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 $137,600 – $222,600 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.

The Budget Optimization Engineering team at Microsoft builds the real-time data infrastructure that powers programmatic advertising at global scale. The team owns Java-based microservices handling budget distribution, campaign discovery and ranking, bid-price optimization, Kafka-based streaming pipelines, and job orchestration — across datacenters.

We are looking for a Senior Software Engineer to join this team and drive a significant Azure migration: moving services from legacy infrastructure (Concourse CI, internal Artifactory, Maestro) to modern Azure tooling (Azure DevOps, ACR, AKS). This role spans infrastructure engineering and service development, and requires deep Kubernetes expertise to design and ship production-grade deployments.

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.

• Service Development 
  • Design and build highly scalable backend services and data pipelines that support privacy-preserving measurement and analytics scenarios using Java, Python (and C# where applicable). 
  • Maintain and improve production services across the optimization platform — including Kafka streaming pipelines, budget controllers, job orchestration (job-broker), and deal monitoring — with a focus on reliability and strict SLA adherence. 
  • Drive integrations with external data and measurement partners, designing stable interfaces, schema governance patterns, and robust validation pipelines. 
  • Work closely with PMs, data science, privacy, and security teams to translate measurement needs into scalable platform capabilities. 
  • Contribute to the full service lifecycle: design, implementation, testing, code review, and deployment. 
  • Improve reliability and observability of Kafka consumer/producer pipelines (offset management, retry strategies, delivery guarantees) across cross-datacenter replication flows. 
• Infrastructure & Cloud 
  • Design and implement Kubernetes/Helm deployments for services currently running on legacy orchestration (Maestro, SAND instances, bare Docker), targeting Azure-native cloud infrastructure. 
  • Integrate application telemetry (Prometheus/Dropwizard Metrics) with Azure Application Insights and Azure Log Analytics to support production observability and SLA monitoring. 
  • Apply practical experience with Azure services — including AKS, ACR, and Azure Key Vault — to support secure, cloud-native deployments. 
• Collaboration & Standards 
  • Lead initiatives to make delivery of high-quality software routine and efficient across the full SDLC, from inception and technical design through testing and production operations. 
  • Participate in architecture discussions and enforce engineering standards through design reviews, code reviews, and mentorship of junior engineers. 
  • Contribute to runbooks, deployment documentation, and oncall readiness.
  • Leverage AI dev tools across the software development lifecycle to raise team-wide engineering productivity.   

Required:

• 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#, Java, Go, 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/transfer and every two years thereafter.

Preferred:

• 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#, Java, Go, 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#, Java, Go, or Python
  • OR equivalent experience.
• 7+ years of technical experience in software development, service engineering, or systems engineering. 
• 5+ years of experience building and operating large-scale distributed systems, backend services, or data platforms with strict SLA requirements. 
• Apache Kafka — solid understanding of consumers, producers, offset management, partition strategies, performance tuning, and cross-datacenter replication patterns. 
• Kubernetes — production experience writing and deploying Helm charts; hands-on with Deployments, StatefulSets, Services, ConfigMaps, Secrets, Jobs, and HPAs; comfortable with multi-cluster and multi-datacenter environments. 
• Cloud infrastructure — practical experience with Azure (AKS, ACR, Azure Key Vault, Azure Application Insights, Azure Log Analytics); familiarity with Azure DevOps or equivalent CI/CD platforms. 
• Large-scale data processing — experience with Spark, SQL-based pipelines, or equivalent frameworks for high-throughput event streaming and analytics. 
• Distributed systems — understanding of cross-datacenter replication patterns, consistency trade-offs, and fault-tolerant service design. 
• Background in advertising, marketing technology, attribution, real-time bidding, programmatic advertising, or large-scale analytics. 
• Experience integrating third-party vendor/partner platforms, identity systems, or data collaboration technologies. 
• Solid problem-solving skills with a focus on reliability, observability, and system design. 

#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.

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.

Empower Every Learner. Shape the Future of Education with Microsoft AI. Hello future teammate! We’re on quite the bold mission; we’re building an AI companion that’s truly empathetic, kind, and equal partners to our users. This isn’t an assistant—it’s a thoughtful collaborator that grows alongside the people they serve. We believe AI should elevate human potential through genuine connection and mutual understanding.

You’ll join our small team as a Prompt Engineer, the architect of these relationships. You’ll craft the foundations that enable meaningful human-AI partnerships. You’ll shape how our companions think, respond, and evolve through language—if you’ll allow slight anthropomorphization, teach them how to be their best selves. You’re somewhat of a designer, somewhat of an engineer, and somewhat of a mad scientist. You’ll work intimately with the design and leadership team—because this is the product!—you’re designing the core of the experience.

This isn’t just engineering—it’s a profound exploration of what connection can mean in the age of artificial intelligence. No big deal. Just another Tuesday.

What we are looking for

• Chain-of-thought experience: prompting techniques that guide AI systems through reasoning processes
• A novel prompting discovery: a really interesting challenge that you’ve solved in a creative way
• Scaled implementation: you’ve shipping prompted systems that work reliably at production scale with diverse user populations
• Evaluation design: you’ve built robust testing frameworks to measure AI behavior against goals
• User-centric approach: proven understanding of how prompting decisions impact the lived experience of people who interact with AI
• A wonderful writer who loves words, storytelling, or linguistics.
• Effective written communication skills: able to convey complex information clearly, concisely, and effectively for various audiences
• Comfort with ambiguity in an exponentially growing space

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.Starting 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.

• Design & develop prompting techniques for emotional and intellectual use cases
• Establish frameworks for AI companions to navigate complex social and ethical situations with nuance and care
• Create evaluations to measure both technical/practical performance and non-deterministic performance like EQ
• Teach others prompting techniques and ways-of-working to elevate the prompting skill throughout the team
• Research & implement novel prompting techniques
• Embody our culture and values.

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.

Additional or preferred qualifications

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.

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

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

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.

The Bing organization is looking for a Principal Data and Applied Scientist for its online metric team. The team is pushing the boundaries of online A/B experimentation capabilities and impact measurement methods, as well as informs our understanding for how users engage with search engines and integrated AI experiences and then translates the insights into actionable metrics. These metrics provide direction to the Bing and MAI organization and help engineers make the right ship decisions for their thousands of A/B experiments. 

Bing.com reaches about a billion people worldwide, and we have a large opportunity to grow further. At Bing, we celebrate our data driven culture: changes only ship when their impact is understood and positive. This role is at the center of what defines our decision-making processes and is an excellent opportunity to make a multiplicative impact across the org.   

As 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. Come join us! 

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.

• Drive innovation in large-scale online A/B experimentation for AI-powered web search, designing, building, and monitoring success metrics that directly measure user satisfaction, trust, and long-term retention across Bing experiences. 
• Serve as a technical visionary and thought leader in online experimentation, shaping the future of product learning through research-driven, AI-enabled approaches that support trustworthy, agile, and evidence-based decision-making at global scale. 
• Provide senior technical leadership and deep industry perspective, guiding cross-functional partners in the adoption of advanced experimentation platforms, causal inference techniques, and modern data science methodologies to deliver high-impact, scientifically rigorous experimentation programs. 
• Build and scale advanced experimentation expertise across teams, spanning specialized tools, statistical methods, and ML-driven evaluation frameworks, to drive measurable business outcomes and extend the reach and impact of Search’s end-to-end experimentation 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.

Additional or 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.
  • Experience 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.           

At Microsoft, our mission is to empower every person and organization on the planet to achieve more. We foster a culture of inclusion, growth, and innovation, built on values of respect, integrity, and accountability. If you’re passionate about driving meaningful impact, solving complex problems, and contributing to a growing organization, we would love to hear from you.

#MicrosoftAI #Search #MAI #nextplay #searchjobs

Data Science 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.

• Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot.
• Design scalable algorithms for online and offline systems, delivering innovative solutions for content selection, user engagement modeling, and ad generation.
• Drive experimentation through A/B testing and offline validation to evaluate model performance and refine user behavior predictions.
• Build robust data pipelines and frameworks for handling large-scale, high-dimensional datasets to support advanced AI applications.
• Stay at the forefront of AI research, incorporating the latest advancements to drive innovation and impact across Microsoft platforms.

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.
• Proven experience in programming and data analysis skills
• 2+ years of experience in developing and deploying large-scale machine learning models..
• Proven expertise in the areas of Generative AI, deep learning, or transformers.
• 2+ years of experience in reinforcement learning and contextual bandits.

#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

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 Ads 3rd Party Ads Solutions and Data Management Platforms is building the next innovative platform for AI-driven advertising. Our team empowers internal engineering teams through secure, scalable, and cost-effective on-prem and cloud infrastructure solutions. We are looking for a Senior Software Engineer who will help us maintain and evolve foundational Kubernetes and Azure platform capabilities that enable the Xandr on-prem to Azure migration to complete on time and ensure the resulting platform is stable, secure, and maintainable over the long term. 

As part of the Platform Engineering team, you will partner with engineering teams, architects, and product groups to design, implement, and evangelize cloud and Kubernetes platform best practices, all while staying curious and open to trying new ideas. 

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.

• Leads Infrastructure Design and Architecture: Analyze and understand challenges in on-prem and Azure platform and infrastructure solutions. Develop and build durable solutions for present and future states. Own the technical approach to create and improve architecture. Deeply understand evolving security risk, security research, and security tradeoffs associated with engineering patterns and approaches. 
• Guide cross-functional teams through architectural discussions and decision-making for solution components, including design, compliance, scaling, and cost considerations. 
• Develop and present architecture and design proposals: lead the testing and validation of hypotheses and proposed solutions. 
• Drive AKS enablement and workload onboarding: Support engineering teams transitioning to AKS by driving standardized onboarding tools, pipelines, Terraform modules, runbooks, and migration guides, and providing hands-on guidance. 
• Drive cross-cutting platform initiatives: Partner across teams to enable testing, workload certification, and migration programs and unblock adoption at scale. 
• Author Well-Designed, Scalable, Reliable Code: Author thoughtful, well-designed infrastructure code, including libraries for essential platform functions, proof-of-concept code, and bugs or foundational changes. Effectively share findings from technical investigations. 
• Collaborate with Partner Teams: Collaborate with the broader product engineering and product teams to understand product and platform architecture and develop thoughtful infrastructure improvements. 
• Lead the creation of design documentation: determine appropriate technologies and their interactions. Facilitate and contribute to design discussions, ensuring alignment across teams and incorporating learnings from prior work. 
• Nurture Talent: Mentor other engineers throughout the design and testing process. 
• Embody our culture and values. 

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.
• 4+ years of experience designing and delivering distributed systems or platform infrastructure, including significant experience in Microsoft Azure (or AWS/GCP with solid Azure proficiency) and Infrastructure as Code such as Terraform or Bicep. 
• Experience managing systems at scale—globally distributed, highly available, real-time, 24/7 environments—and operating platforms with solid reliability and security requirements. 
• Proficiency in modern software development practices, including CI/CD pipelines, code review, testing, and operational readiness, using languages such as Go, Python, or TypeScript. 
• Demonstrated ability to drive architectural direction across multiple teams, influence technical decisions, and translate ambiguous requirements into durable designs. 
• Excellent written and verbal communication skills, including explaining technical concepts to diverse audiences. 
• Hands-on experience deploying and operating AKS at scale, including networking, identity/workload identity, and secure cluster patterns using Fleet Manager. 
• Hands-on experience building and operating Terraform module ecosystems and platform onboarding toolchains. 

#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.

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.

The Microsoft Commerce team is at the forefront of defining how AI‑native shopping comes to life, shaping how Copilot helps people discover, decide, and take action. We are pioneering the future of AI shopping by building intelligent, trusted experiences that redefine commerce and shopping across Microsoft surfaces.

As a Principal Product Manager – Commerce, you’ll be responsible for understanding user and business needs, defining clear requirements, and driving execution across engineering, design, and partner teams. You set strategy, align stakeholders, manage delivery through launch and iteration, and ensure outcomes are measurable, high‑quality, and scalable.

In this role, you will learn how to operate lean teams that obsess over users, make high‑quality decisions grounded in evidence, and ship continuously. You’ll develop the ability to move quickly from insight to impact, delivering real, immediate value to users. As the AI landscape evolves at an unprecedented pace, you’ll gain hands‑on experience working at the center of that transformation, building products at the heart of how AI is reshaping the world.

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.

• You will influence others to drive business impact across the organization and track success criteria for multiple feature areas across divisions. You’ll also be an expert in identifying long-term investment opportunities and engaging partners to garner support for those feature areas.
• You will 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.
• You will define a feature set and facilitate senior-level usability reviews with customers. You’ll own the roadmap for multiple feature areas across divisions, and will collaborate with a partner team to build golden configurations and drive scenario walkthroughs.
• You will enjoy working in a fast-paced, customer-first, product development cycle.
• You will partner with others to collect performance metrics and form hypotheses for complex technical needs in order to improve product development in multiple areas. You’ll also identify features to deprecate, manage customer communities, and build trust with targeted customers across sectors.

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.
• 2+ years experience leading cross functional product teams across advertising, privacy, search, conversational AI, or generative AI
• 6+ 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).
• 5+ years experience with data analytics and experimentation tools with working knowledge of SQL and coding skills (Python, Javascript).
• Depth in experimentation and measurement (A/B testing, causal inference, learning outcomes, cohort analysis). 
• 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. 

#MicrosoftAI #maimonetizationproduct

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.

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.
• Proven experience in programming and data analysis skills.
• Proven expertise in the areas of Generative AI, deep learning, Reinforcement learning, transformers or LLM.
• 6+ years of experience in developing and deploying large-scale machine learning models.

#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.

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.