Required Qualifications:

• Bachelor’s Degree AND 10+ years experience in product/service/program management or software development
  
  • OR equivalent experience. 
     

Preferred Qualifications:

• Bachelor’s Degree AND 15+ years experience in product/service/program management or software development 
  • OR equivalent experience.
• 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 products, especially on the demand/buying side platform

Product Management 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.

The Director of Content leads the editorial direction, editorial operations and cross collaboration with our product and engineering teams to ensure the success and integrity of our content across Microsoft MAI surfaces. In this role, they aim to build experiences that inform and entertain while ensuring high-quality, timely delivery of AI-powered products across MAI Content.

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.

• Develop and implement quality guidelines and workflows for premium AI-powered content experiences across MAI surfaces.
• Shape editorial guidelines and direction of our AI product experiences through a data driven content strategy and prompt-engineering guidance.
• Execute established quality guidelines at scale in partnership with product and engineering teams.
• Lead the development of large editorial projects – design, editorial, product experience – around key tentpole events like World Cup, Met Gala, F1 etc.
• Oversee weekly, monthly, quarterly editorial planning across all surfaces. 
• Lead cross-functional projects with product, technical, and design teams, influencing scale and editorial outcomes.   
• Drive editorial judgment on nuanced topics, balancing creative, technical requirements, and business objectives. 
• Collaborate with Product and Engineering teams on model evaluation, prompt engineering, and strategic planning.  
• Make data informed decisions that meet audience, editorial, and business objectives.
• Identify workflow improvements to enhance efficiency and product quality across editorial content product.
• Work with the VP, Content on audience development, how to bring new and younger audiences into the MSN and Microsoft AI experiences.

Required Qualifications:

• Bachelor’s Degree AND 10+ years experience in product/service/program management or software development
  • OR equivalent experience.
• 3+ years people management experience.
• Proven experience in driving editorial direction, strategy, and accuracy at scale.
• Proven excellence in executing editorial judgment and leading editorial direction. 

Preferred Qualifications:

• Bachelor’s Degree AND 15+ years experience in product/service/program management or software development
  • OR equivalent experience.
• Proven experience collaborating with product and technical engineering teams.
• Experience building products for broad audiences at scale.
• Solid communication and leadership experience.
• Experience with GenAI content. 

#MicrosoftAI 

Product Management M5 – 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 Director of Content leads the editorial direction, editorial operations and cross collaboration with our product and engineering teams to ensure the success and integrity of our content across Microsoft MAI surfaces. In this role, they aim to build experiences that inform and entertain while ensuring high-quality, timely delivery of AI-powered products across MAI Content.

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.

• Develop and implement quality guidelines and workflows for premium AI-powered content experiences across MAI surfaces.
• Shape editorial guidelines and direction of our AI product experiences through a data driven content strategy and prompt-engineering guidance.
• Execute established quality guidelines at scale in partnership with product and engineering teams.
• Lead the development of large editorial projects – design, editorial, product experience – around key tentpole events like World Cup, Met Gala, F1 etc.
• Oversee weekly, monthly, quarterly editorial planning across all surfaces. 
• Lead cross-functional projects with product, technical, and design teams, influencing scale and editorial outcomes.   
• Drive editorial judgment on nuanced topics, balancing creative, technical requirements, and business objectives. 
• Collaborate with Product and Engineering teams on model evaluation, prompt engineering, and strategic planning.  
• Make data informed decisions that meet audience, editorial, and business objectives.
• Identify workflow improvements to enhance efficiency and product quality across editorial content product.
• Work with the VP, Content on audience development, how to bring new and younger audiences into the MSN and Microsoft AI experiences.

Required Qualifications:

• Bachelor’s Degree AND 10+ years experience in product/service/program management or software development
  • OR equivalent experience.
• 3+ years people management experience.
• Proven experience in driving editorial direction, strategy, and accuracy at scale.
• Proven excellence in executing editorial judgment and leading editorial direction. 

Preferred Qualifications:

• Bachelor’s Degree AND 15+ years experience in product/service/program management or software development
  • OR equivalent experience.
• Proven experience collaborating with product and technical engineering teams.
• Experience building products for broad audiences at scale.
• Solid communication and leadership experience.
• Experience with GenAI content. 

#MicrosoftAI 

Product Management M5 – 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.

At Microsoft Ads, we’re building the future of intelligent, privacy forward measurement systems that help our advertisers understand, optimize, and accelerate their business growth across the Microsoft ecosystem.We’re looking for a Principal Product Manager – Ads Measurement to lead the vision and execution of our next generation of measurement products that help advertisers see the true value of their investments across Microsoft Ads and AI‑powered surfaces. You will define how we quantify impact, how we help marketers make smarter decisions, and how measurement becomes a strategic advantage for our customers and for Microsoft. We are committed to inclusive design and creating products that empower people of all backgrounds to do their best work. 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. 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. 

• Lead vision, strategy, and roadmap for Microsoft Ads’ measurement platform.
• Build and launch measurement capabilities, including attribution, incrementality, cross‑channel reporting, and AI‑driven insights.
• Partner with engineering, UX, and data science to design, validate, and ship features with measurable customer and business impact.
• Collaborate with marketing, sales, and account teams to ensure products meet advertiser needs and drive adoption.
• Define and analyze product metrics to guide decisions and evaluate performance.

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 10+ years experience in product/service/program management or software development
  • OR equivalent experience.
• Experience driving strategy and shipping complex data, analytics, or measurement products at scale.
• Demonstrated ability to collaborate with engineering and cross‑functional partners to deliver high‑impact features.
• Solid understanding of advertising or marketing technology, including measurement, attribution, experimentation, or performance optimization.
• Ability to translate complex technical concepts into clear product direction and customer value.
• Excellent communication, storytelling, and stakeholder management skills.

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

Product Management 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.

At Microsoft Ads, we’re building the future of intelligent, privacy forward measurement systems that help our advertisers understand, optimize, and accelerate their business growth across the Microsoft ecosystem.We’re looking for a Principal Product Manager – Ads Measurement to lead the vision and execution of our next generation of measurement products that help advertisers see the true value of their investments across Microsoft Ads and AI‑powered surfaces. You will define how we quantify impact, how we help marketers make smarter decisions, and how measurement becomes a strategic advantage for our customers and for Microsoft. We are committed to inclusive design and creating products that empower people of all backgrounds to do their best work. 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. 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. 

• Lead vision, strategy, and roadmap for Microsoft Ads’ measurement platform.
• Build and launch measurement capabilities, including attribution, incrementality, cross‑channel reporting, and AI‑driven insights.
• Partner with engineering, UX, and data science to design, validate, and ship features with measurable customer and business impact.
• Collaborate with marketing, sales, and account teams to ensure products meet advertiser needs and drive adoption.
• Define and analyze product metrics to guide decisions and evaluate performance.

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 10+ years experience in product/service/program management or software development
  • OR equivalent experience.
• Experience driving strategy and shipping complex data, analytics, or measurement products at scale.
• Demonstrated ability to collaborate with engineering and cross‑functional partners to deliver high‑impact features.
• Solid understanding of advertising or marketing technology, including measurement, attribution, experimentation, or performance optimization.
• Ability to translate complex technical concepts into clear product direction and customer value.
• Excellent communication, storytelling, and stakeholder management skills.

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

Product Management 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.

The Microsoft Advertising Mediation Service (MMS) is the real-time auction and mediation platform that sits at the heart of Microsoft’s advertising stack. Built on Go and derived from Prebid Server, MMS processes OpenRTB traffic at global scale across multiple Azure regions, running header-bidding auctions, executing bidder filtration, applying dynamic reserve pricing, and powering experimentation across Microsoft’s owned-and-operated and third-party supply (Outlook, MSN, Xandr, LinkedIn, MSAN, and more).

We are looking for a Principal Software Engineer to set the technical direction for MMS as it scales to the next order of magnitude of traffic, supply types, and auction complexity. This is a deeply technical IC role: you will own architecture decisions that span the request hot path, the experimentation framework (flights/TSGs), bidder adapter ecosystem, and the Azure-native infrastructure that runs it all. You will partner closely with engineering leads, PMs, data science, and partner teams across Microsoft Advertising to shape the roadmap, raise the engineering bar, and mentor senior engineers across the org.

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.

• Technical Leadership
  • Own the long-range architecture of the MMS platform: the OpenRTB request hot path, auction engines (best-price, priority, dynamic reserve price, multi-placement), bidder adapter framework, and the experimentation/flights system.
  • Drive cross-team technical strategy with peer principals across Microsoft Advertising — bidders, supply integrations, brand safety, identity, measurement, and billing.
  • Set and enforce engineering standards through design reviews, code reviews, technical RFCs, and mentorship of senior and staff-level engineers.
  • Identify and resolve systemic risks across reliability, latency, cost, and correctness before they reach production.
• Service & Platform Development
  • Design and build highly scalable Go services on the MMS platform, with strict latency and availability SLAs measured in single-digit milliseconds and five nines.
  • Evolve the bidder adapter framework to support new supply types (display, native, video) and new integration patterns (server-side header bidding, deal-based, programmatic guaranteed).
  • Improve the auction subsystem — pricing, filtration (L1 brand safety, IP blocks, embargoes), bidder selection, and response shaping — with measurable revenue and quality impact.
  • Strengthen the experimentation framework (flights, traffic sub-groups) so PMs and data science can ship A/B tests safely at high cadence.
  • Improve observability of the request path: structured Event Hub logging, sampling strategies, metrics, and tracing across the bidder fan-out.
• Infrastructure & Cloud
  • Drive Azure-native deployment and operational excellence across AKS, ACR, Azure Key Vault, Azure Blob Storage, Azure Event Hubs, and Azure AD.
  • Lead initiatives to reduce cost-per-request, improve cold-start and config-reload behavior, and harden cross-region failover.
  • Improve CI/CD on Azure DevOps, including canary, progressive rollout, and automated rollback strategies.
• Org-Wide Impact
  • Lead initiatives that make delivery of high-quality software routine and efficient across the full SDLC — from inception and technical design through testing, deployment, and oncall.
• Contribute to runbooks, deployment documentation, and oncall readiness
  • Lead efforts to raise the bar on incident response and institutionalize effective post-incident learning.
  • 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 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred:

• Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 6+ years of experience building and operating latency-sensitive backend services with strict SLA requirements (P99 measured in milliseconds, five-nines availability).
• Go — deep production experience, including profiling, GC tuning, concurrency patterns, and performance-sensitive code on the request hot path.
• OpenRTB / programmatic advertising — hands-on experience with header bidding, real-time bidding, mediation, exchanges, SSPs/DSPs, brand safety, or identity/cookie syncing. Familiarity with Prebid Server or similar auction platforms.
• Auction systems — experience designing or evolving pricing logic, bidder filtration, dynamic reserve pricing, or floor-price optimization at scale.
• Kubernetes & Azure — production experience with AKS, ACR, Azure Key Vault, Azure Event Hubs, Azure Blob Storage, Azure Application Insights, and Azure DevOps; comfortable with multi-region, multi-cluster deployments.
• Distributed systems — solid grasp of consistency trade-offs, fault tolerance, distributed caching, and cross-region replication patterns.
• Experimentation platforms — experience designing or scaling A/B testing frameworks, feature flags, or controlled rollout systems.
• Observability — experience with structured logging, high-cardinality metrics, sampling at scale, and event streaming pipelines (Event Hubs, Kafka, Kusto/ADX).
• Proven record of mentoring senior engineers and driving cross-team technical initiatives to completion.
• Solid problem-solving skills with a focus on reliability, observability, and system design.

#MicrosoftAI 

Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

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 Core Recommendation Ranking team in Microsoft AI Copilot Discover Engineering Org is looking for a passionate and experienced applied scientist architect who wants to build the next generation of recommendations using advanced AI technologies, especially large language models , at scale. We are responsible for content ranking and reranking to deliver most engaging and high quality recommendation results. Our content include news feeds, interest feeds, video feeds, AIGC feeds, etc. We are seeking a Principal Applied Scientist Architect to integrate GenAI and agentic systems into end-to-end ranking stack. This role is ideal for a senior technical leader who combines deep expertise in large‑scale recommendation systems, large language models and agentic systems, with the architectural vision to drive cross‑team alignment, accelerate innovation, and deliver measurable impact across Microsoft surfaces. You will partner closely with engineering, product, and applied science teams to design, optimize, and scale intelligent ranking systems that power personalized content experiences for millions of users.

Copilot Discover sits at the intersection of content, signals, and user intent. Our ambition is to make it a durable, strategic layer that powers intelligent, personalized, and trusted discovery experiences across a broad array of surfaces where Microsoft engages consumers in their journeys. If you are passionate about building high-scale, AI-driven systems that combine solid architectural rigor with meaningful user value, this is the role for you.

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 & implement ranking, reranking, and retrieval models using deep learning, LLMs, and advanced recommendation techniques.
• Architect the next generation of ranking, reranking, and retrieval systems for large‑scale content recommendation scenarios, for example generative recommendations, agentic feeds, etc.
• Lead the design of robust, efficient, and extensible ML/DL models pipelines, including feature engineering, model training, evaluation, and online inference. Establish technical standards and best practices for experimentation, model governance, and system reliability.
• Drive innovation in model architectures (e.g., deep learning, LLM‑enhanced ranking, multi‑task learning, contextual bandits, reinforcement learning).
• Partner with engineering, product, and platform teams to align roadmaps, integrate new capabilities, and ensure seamless end‑to‑end delivery.
• Invest in others’ growth and mentor team members, fostering a culture of scientific rigor, innovation, and operational excellence.
• Regularly communicate team progress internally and evangelize progress and opportunities to a wider audience including management and leadership.  
• Mentor junior scientists and engineers, fostering a culture of technical excellence and knowledge sharing.

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.
• 8+ years of experiences in applied science, deep learning, or related fields, with a solid track record of delivering production ML systems at scale.  
• Expertise in recommendation systems, ranking models, search relevance, or personalization.
• Experience applying LLM techniques or Recommendation system.
• Proficiency in modern ML frameworks (e.g., PyTorch, TensorFlow), data processing systems, and cloud‑scale infrastructure.
• Demonstrated ability to lead cross‑functional initiatives and influence technical direction across multiple teams.
• Solid communication skills with the ability to articulate complex technical concepts to diverse audiences.
• Experience with LLM‑based ranking, agentic AI, or generative AI applied to recommendation or personalization.
• Publications in top‑tier ML/AI conferences (e.g., NeurIPS, ICML, KDD, WWW, RecSys).
• Solid architectural skills with experience designing large‑scale ML systems, distributed pipelines, and high‑throughput online services.
• Experience working through full product cycles from initial design to final product delivery.
• Experience developing and designing backgrounds in multi-tiered distributed services.  
• Experience with data structures, algorithms, asynchronous programming, and data processing. Knowledge and experience in large scale data analytics, such as Spark.
• Experience working with heterogeneous signals (behavioral, contextual, semantic embeddings) and multi‑objective optimization.
• Experience developing end to end ML/DL systems. 

#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.

The Core Recommendation Ranking team in Microsoft AI Copilot Discover Engineering Org is looking for a passionate and experienced applied scientist architect who wants to build the next generation of recommendations using advanced AI technologies, especially large language models , at scale. We are responsible for content ranking and reranking to deliver most engaging and high quality recommendation results. Our content include news feeds, interest feeds, video feeds, AIGC feeds, etc. We are seeking a Principal Applied Scientist Architect to integrate GenAI and agentic systems into end-to-end ranking stack. This role is ideal for a senior technical leader who combines deep expertise in large‑scale recommendation systems, large language models and agentic systems, with the architectural vision to drive cross‑team alignment, accelerate innovation, and deliver measurable impact across Microsoft surfaces. You will partner closely with engineering, product, and applied science teams to design, optimize, and scale intelligent ranking systems that power personalized content experiences for millions of users.

Copilot Discover sits at the intersection of content, signals, and user intent. Our ambition is to make it a durable, strategic layer that powers intelligent, personalized, and trusted discovery experiences across a broad array of surfaces where Microsoft engages consumers in their journeys. If you are passionate about building high-scale, AI-driven systems that combine solid architectural rigor with meaningful user value, this is the role for you.

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 & implement ranking, reranking, and retrieval models using deep learning, LLMs, and advanced recommendation techniques.
• Architect the next generation of ranking, reranking, and retrieval systems for large‑scale content recommendation scenarios, for example generative recommendations, agentic feeds, etc.
• Lead the design of robust, efficient, and extensible ML/DL models pipelines, including feature engineering, model training, evaluation, and online inference. Establish technical standards and best practices for experimentation, model governance, and system reliability.
• Drive innovation in model architectures (e.g., deep learning, LLM‑enhanced ranking, multi‑task learning, contextual bandits, reinforcement learning).
• Partner with engineering, product, and platform teams to align roadmaps, integrate new capabilities, and ensure seamless end‑to‑end delivery.
• Invest in others’ growth and mentor team members, fostering a culture of scientific rigor, innovation, and operational excellence.
• Regularly communicate team progress internally and evangelize progress and opportunities to a wider audience including management and leadership.  
• Mentor junior scientists and engineers, fostering a culture of technical excellence and knowledge sharing.

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.
• 8+ years of experiences in applied science, deep learning, or related fields, with a solid track record of delivering production ML systems at scale.  
• Expertise in recommendation systems, ranking models, search relevance, or personalization.
• Experience applying LLM techniques or Recommendation system.
• Proficiency in modern ML frameworks (e.g., PyTorch, TensorFlow), data processing systems, and cloud‑scale infrastructure.
• Demonstrated ability to lead cross‑functional initiatives and influence technical direction across multiple teams.
• Solid communication skills with the ability to articulate complex technical concepts to diverse audiences.
• Experience with LLM‑based ranking, agentic AI, or generative AI applied to recommendation or personalization.
• Publications in top‑tier ML/AI conferences (e.g., NeurIPS, ICML, KDD, WWW, RecSys).
• Solid architectural skills with experience designing large‑scale ML systems, distributed pipelines, and high‑throughput online services.
• Experience working through full product cycles from initial design to final product delivery.
• Experience developing and designing backgrounds in multi-tiered distributed services.  
• Experience with data structures, algorithms, asynchronous programming, and data processing. Knowledge and experience in large scale data analytics, such as Spark.
• Experience working with heterogeneous signals (behavioral, contextual, semantic embeddings) and multi‑objective optimization.
• Experience developing end to end ML/DL systems. 

#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.

The Core Recommendation Ranking team in Microsoft AI Copilot Discover Engineering Org is looking for a passionate and experienced applied scientist architect who wants to build the next generation of recommendations using advanced AI technologies, especially large language models , at scale. We are responsible for content ranking and reranking to deliver most engaging and high quality recommendation results. Our content include news feeds, interest feeds, video feeds, AIGC feeds, etc. We are seeking a Principal Applied Scientist Architect to integrate GenAI and agentic systems into end-to-end ranking stack. This role is ideal for a senior technical leader who combines deep expertise in large‑scale recommendation systems, large language models and agentic systems, with the architectural vision to drive cross‑team alignment, accelerate innovation, and deliver measurable impact across Microsoft surfaces. You will partner closely with engineering, product, and applied science teams to design, optimize, and scale intelligent ranking systems that power personalized content experiences for millions of users.

Copilot Discover sits at the intersection of content, signals, and user intent. Our ambition is to make it a durable, strategic layer that powers intelligent, personalized, and trusted discovery experiences across a broad array of surfaces where Microsoft engages consumers in their journeys. If you are passionate about building high-scale, AI-driven systems that combine solid architectural rigor with meaningful user value, this is the role for you.

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 & implement ranking, reranking, and retrieval models using deep learning, LLMs, and advanced recommendation techniques.
• Architect the next generation of ranking, reranking, and retrieval systems for large‑scale content recommendation scenarios, for example generative recommendations, agentic feeds, etc.
• Lead the design of robust, efficient, and extensible ML/DL models pipelines, including feature engineering, model training, evaluation, and online inference. Establish technical standards and best practices for experimentation, model governance, and system reliability.
• Drive innovation in model architectures (e.g., deep learning, LLM‑enhanced ranking, multi‑task learning, contextual bandits, reinforcement learning).
• Partner with engineering, product, and platform teams to align roadmaps, integrate new capabilities, and ensure seamless end‑to‑end delivery.
• Invest in others’ growth and mentor team members, fostering a culture of scientific rigor, innovation, and operational excellence.
• Regularly communicate team progress internally and evangelize progress and opportunities to a wider audience including management and leadership.  
• Mentor junior scientists and engineers, fostering a culture of technical excellence and knowledge sharing.

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.
• 8+ years of experiences in applied science, deep learning, or related fields, with a solid track record of delivering production ML systems at scale.  
• Expertise in recommendation systems, ranking models, search relevance, or personalization.
• Experience applying LLM techniques or Recommendation system.
• Proficiency in modern ML frameworks (e.g., PyTorch, TensorFlow), data processing systems, and cloud‑scale infrastructure.
• Demonstrated ability to lead cross‑functional initiatives and influence technical direction across multiple teams.
• Solid communication skills with the ability to articulate complex technical concepts to diverse audiences.
• Experience with LLM‑based ranking, agentic AI, or generative AI applied to recommendation or personalization.
• Publications in top‑tier ML/AI conferences (e.g., NeurIPS, ICML, KDD, WWW, RecSys).
• Solid architectural skills with experience designing large‑scale ML systems, distributed pipelines, and high‑throughput online services.
• Experience working through full product cycles from initial design to final product delivery.
• Experience developing and designing backgrounds in multi-tiered distributed services.  
• Experience with data structures, algorithms, asynchronous programming, and data processing. Knowledge and experience in large scale data analytics, such as Spark.
• Experience working with heterogeneous signals (behavioral, contextual, semantic embeddings) and multi‑objective optimization.
• Experience developing end to end ML/DL systems. 

#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.

The Microsoft Edge Browser Security Team is responsible for securing Edge client code. Our work broadly fits into three distinct categories: Engagement, Proactive, and Reactive security. We work closely with developers, engaging with them to ensure principals such as defense in depth and secure by default are architected into everything we do. Additionally, we perform proactive vulnerability research and analysis at scale to highlight high risk attack surfaces and identify security bugs before hackers do. Finally, we ensure that our reactive response flows are monitored and maintained, tracking reports from external finders, and working with threat intelligence teams to stop active threats to our customers. Throughout all of this, you will work with our industry partners to contribute security improvements to the Chromium project to make the web safer for everyone.

As a Security Engineer II in Edge Browser, you will be expected to have knowledge and experience of cybersecurity principals. Ideal candidates will have or quickly obtain a technical knowledge of code audit, fuzzer development, crash analysis and web security. Successful candidates will demonstrate the ability to adopt an adversarial mindset, finding creative ways to break assumptions, identify gaps, and bypass security functions. It is highly beneficial to also have a deep understanding of security fundamentals, computer science skills, and a passion for keeping Microsoft’s customers safe.

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.

• Identifies security issues within assigned areas and proposes mitigation steps, escalating complex or high-impact risks as needed.
• Supports implementation of mitigation, response, and remediation activities using established tools, guidelines, and best practices.
• Investigates, diagnoses, and triages security incidents with minimal guidance, following defined incident response processes.
• Contributes to incident management, including stakeholder communication and postmortem/root cause analysis.
• Participates in security reviews (e.g., architecture, design), documents findings, and collaborates on remediation plans.
• Applies secure design and development best practices across feature areas to reduce vulnerabilities and improve resilience.
• Assists in monitoring and responding to security events, vulnerabilities, and compliance issues, escalating as appropriate.
• Contributes to operational security efforts and helps identify opportunities to improve security posture.
• Partners with others to implement solutions for defined security problems and improve existing tools and processes.
• Collaborates across teams, incorporates customer and partner feedback, and continuously builds expertise in security technologies and practices.

Required Qualifications:

• Master’s Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 1+ year(s) experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection
  • OR Bachelor’s Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 2+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection
  • 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:

• Doctorate in Statistics, Mathematics, Computer Science, Computer Security, or related field

  • OR Master’s Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 3+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection 
  • OR Bachelor’s Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 5+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection
  • OR equivalent experience.
• Experience with relevant security research along with relevant CVEs (if available) ideally in browser vulnerability discovery.
• Experience with writing basic exploits for native or web applications.
• Development and deployment of fuzz testing and/or static analysis software.

#MicrosoftAI #EdgeVR #EdgeSecurity

Security Research 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.