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 #MAICopilotDiscover 

Applied Sciences IC5 – The typical base pay range for this role across the U.S. is USD $142,800 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

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

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Microsoft AI (MAI) is building AI‑powered, content‑driven experiences used by hundreds of millions of people globally. Our products sit at the intersection of consumers, publishers, creators, advertisers, and sales partners—and increasingly require clear articulation of how and why we make product decisions, not just what we ship. 

We are looking for a Principal Product Marketing Manager to deliver a clear articulation of our product’s value in the marketplace – to publishers, to the sales team and to customers.

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.  

• Own the product narrative for MAI Content 
  • Work directly with Product and Engineering to explain how and why MAI Content makes product decisions, including areas like AI-generated content (AIGC), Publisher Content Marketplace (PCM), monetization approaches, recommendation & personalization systems, content formats, and roadmap tradeoffs. 
  • Translate internal product logic, constraints, and principles into clear external‑facing narratives for sales, partners, and publishers, without over‑simplifying or over‑promising. 
• Articulate MAI Content’s AI principles, quality standards, and guardrails 
  • Help define and communicate MAI’s principles for AI‑generated content, including quality bars, safety considerations, and trust frameworks. 
  • Partner closely with Product and Policy to ensure our external messaging reflects how the systems actually work, not aspirational abstractions. 
  • Serve as a steward for clarity in areas where AI behavior, evaluation, or tradeoffs are non‑obvious. 
• Define audiences, formats, and ecosystems—globally 
  • Own MAI’s audience and format narratives, including how different products and surfaces behave across regions and use cases. 
  • Clearly explain how MAI audiences show up for publishers, creators, and sales teams, and how formats and inventory should be understood in context. 
  • Ensure audience narratives are consistent, grounded in reality, and usable across GTM motions.  
• Partner deeply with Sales on positioning and revenue growth 
  • Work with Sales to define new brand and product positioning, particularly for emerging monetization and ad products. 
  • Translate product capabilities into sales‑ready narratives that support revenue growth without distorting product truth. 
  • Act as a strategic thought partner to Sales leadership on how MAI offerings should be framed in market.  
• Shape MAI Content’s internal and external communications channels 
  • Develop narratives for internal and external communication about our product strategy, roadmap and how it connects to the values of journalism and quality content.  
  • Ensure consistency between our team and MAI / MSFT core narratives.  
• Be a connective tissue across MAI 
  • Operate as a trusted cross‑functional partner spanning Product, Marketing, Monetization, Sales, Policy, Growth, and Leadership. 
  • Identify gaps where product intent, market understanding, and execution are misaligned—and step in to close them. 
  • Contribute to MAI‑level strategic documents, narratives, and leadership conversations. 

Required Qualifications:

• Master’s Degree in Marketing, Computer Science, Business or related field AND 4+ years experience in business OR Bachelor’s Degree in Marketing, Computer Science, Business or related field AND 6+ years experience in business
  • OR equivalent experience.

Preferred Qualifications:

• Master’s Degree in Marketing, Computer Science, Business or related field AND 8+ years marketing or sales experience
  • OR Bachelor’s Degree in Marketing, Computer Science, Business or related field AND 12+ years experience in business 
  • OR equivalent experience.
• 10+ years of experience in Product Marketing, Product Strategy, or adjacent roles at scale. 
• Experience working on platforms, ecosystems, or AI‑driven products where behavior and outcomes are not always deterministic. 
• Proven ability to translate complex product or technical concepts into clear, persuasive narratives for senior stakeholders. 
• Solid judgment around trust, quality, and external commitments. 
• Exceptional written and verbal communication skills.
• Experience working with publishers, creators, or advertising‑adjacent ecosystems.
• Familiarity with AI/ML‑driven products, product evaluation, or policy‑adjacent constraints. 
• History of partnering closely with Sales on high‑stakes positioning and revenue narratives. 

#MicrosoftAI #Product Marketing #Content

Product Marketing IC5 – The typical base pay range for this role across the U.S. is USD $130,900 – $251,900 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 $165,600 – $272,300 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.

•  
• Care deeply about building outstanding consumer-grade mobile applications.
• Build consumer grade applications for Android.
• Ship high-quality, well-tested, secure, and maintainable code. 
• Work collaboratively with our Designers, Product Managers, and AI Researchers to take ambiguous projects and mold them into amazing experiences.
• Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. 
• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.

Required Qualifications 

• Bachelor’s degree in computer science, or related technical discipline AND 4+ years technical engineering experience developing mobile applications for Android platforms with coding in languages including, but not limited to, Kotlin, or Java OR equivalent experience.

Preferred Qualifications 

• Working knowledge of mobile application architecture, design patterns, and UI/UX principles.
• Contributions to open-source projects. 
• Experience building Android applications from scratch. 
• Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. 
• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in mobile development and AI. 
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.

Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800.00 – $234,700.00 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200.00 – $261,000.00 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $142,800.00 – $274,800.00 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000.00 – $304,200.00 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $142,800 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $142,800 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

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

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Our team (Signals Modeling) builds the core intelligence that understands and predicts how users interact with ads – from the first impression through clicks, post-click engagement, and downstream business outcomes. 

We design and train transformer-based models with billions of parameters that power ad ranking, pricing, and optimization across large-scale consumer surfaces. These models go well beyond simple click prediction: they reason over long user histories, rich ad and content representations, and heterogeneous event streams to infer user intent and advertiser value, even when ground truth signals are sparse or partially unobservable.

The team owns end-to-end ML systems, including large-scale data and label construction, representation learning, multi-task and proxy objectives, calibration, and rigorous offline and online evaluation. We build sophisticated training pipelines that transform weak signals (e.g., page visits, dwell time, or engagement events) into high-quality learning targets, and deploy models that remain robust under delayed conversions and shifting marketplace dynamics.

Engineers and scientists on the team work at the intersection of deep learning, large-scale experimentation, and marketplace economics, shipping production-grade models and data pipelines that directly drive revenue and advertiser ROI. This is a hands-on role with real ownership: you’ll help shape next-generation transformer architectures, push the limits of scalable training and serving, and see your models make measurable impact in one of the world’s largest ads ecosystems.

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 modeling and data innovations for ad interaction outcome prediction under partial and noisy feedback.
• Focus on building estimated conversion models, designing data-driven attribution and weak-label generation pipelines, and developing robust learning and calibration methods for scenarios where true user outcomes are sparse, delayed, or unobservable.
• Design and evaluate multi-task and proxy-signal models, improve offline and online measurement frameworks, and translate modeling advances into production-ready systems that directly impact ad ranking, bidding, advertiser ROI, and user experience at web scale.

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.

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.
  • 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
    Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
    3+ years experience conducting research as part of a research program (in academic or industry settings).
    1+ year(s) experience developing and deploying live production systems, as part of a product team.
    1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
• Experience working with noisy, weak, or proxy labels, including building training signals from indirect user behavior.
• Experience with conversion, outcome, or funnel modeling (e.g., post-click modeling, engagement modeling, attribution, or similar problems).
• Familiarity with model calibration, reliability analysis, or uncertainty estimation in production systems.
• Background in causal inference, attribution, or counterfactual evaluation.
• Experience with large-scale online marketplaces or ads/recommendation systems.
• Experience designing or operating multi-task / auxiliary-task learning systems.
• Proven technical leadership in cross-team modeling efforts or platform-level ML systems.
• 4+ years of industry experience building and shipping machine learning models in production.
• Solid hands-on experience with modern ML models (e.g., deep learning, tree-based models, or linear models) and feature engineering.
• Solid understanding of supervised learning and multi-task learning.
• Practical experience working with large-scale, real-world data and building end-to-end modeling pipelines (data preparation, training, validation, deployment).
• Experience with offline evaluation and online A/B experimentation for ML systems.
• Solid programming skills in Python and at least one major ML framework (e.g., PyTorch or TensorFlow).
• Ability to independently drive modeling projects from problem definition through production and iteration.

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 

Applied Sciences IC4 – The typical base pay range for this role across the U.S. is USD $119,800.00 – $234,700.00 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200.00 – $261,000.00 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

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

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

UX Research M6 – The typical base pay range for this role across the U.S. is USD $165,600.00 – $296,400.00 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800.00 – $331,200.00 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

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

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

MSN is one of the largest content properties on the internet, reaching hundreds of millions of users across Windows, Edge, Copilot, and the open web. As we move towards an agentic future, we are rethinking our ad formats, diversifying our demand mix, building new sponsorship and branded content products, and strengthening the supply quality. 

We’re looking for a senior product leader to own this transformation end to end. You will be the single accountable person for MSN monetization strategy, product development, and revenue performance. You’ll work across engineering, sales, leadership, and finance to ship products that grow the business while improving the user experience. 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.  

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

• Define and execute the MSN monetization strategy across our suite of premium brand products, sponsorship, and new measurement capabilities.
• Partner with finance to build credible forecasts and track delivery against plan. e.g. Identify and close gaps before they become surprises, etc.
• Partner with MSN editorial leadership to align the commercial strategy with the editorial direction. 
• Coordinate across engineering teams to sequence the technical investments (ad serving, data infrastructure, format development) against the commercial roadmap.

Required Qualifications:

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

Preferred Qualifications:

• Bachelor’s Degree AND 15+ years experience in product/service/program management or software development
  • OR equivalent experience.
• 10+ years of experience in ad monetization, ad product management, or platform economics, with at least 5 years in a senior or leadership role.
• Deep understanding of the programmatic advertising ecosystem.
• Experience building and shipping premium ad products (sponsorships, branded content, high-impact placements) and working with sales teams to bring them to market.
• Demonstrated ability to own a revenue target and deliver against it. You’re comfortable presenting financial performance to senior leadership and making real-time tradeoffs between short-term yield and long-term positioning.
• Track record of operating independently across multiple teams (engineering, sales, editorial, finance) without needing someone else to broker alignment for you.
• Solid product sense for ad formats and user experience.
• Experience at a large-scale content or media platform (news, video, social, or aggregation) where you’ve dealt with the specific dynamics of editorial trust, ad quality perception, and brand safety.
• Familiarity with audience data infrastructure: identity resolution, match rates, first-party data activation, and privacy-compliant targeting at scale.
• Experience managing through a platform transition (e.g., migrating ad products across surface redesigns, consolidating demand across legacy and new experiences).
• Exposure to gaming monetization, video ad products, or cross-surface attribution.

#MicrosoftAI 

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.

Join Microsoft AI’s Copilot Discover Engineering Team as a Principal Software Engineer, serving as a senior technical architect to play a central role in the technical direction and long‑range architecture of Copilot Discover. This is a role emphasizing true end‑to‑end responsibility: setting the architectural vision, shaping the platform for AI‑forward discovery experiences, and steering the evolution of product experiences that sit at the heart of how users engage with the intersection of knowledge, content, and personalization on surfaces on which Copilot shows up.

You will design and drive the systems that power the Copilot Discover feed at scale. You’ll work on foundational platforms that ingest, enrich, rank, personalize, and serve content across web, mobile, and partner surfaces and lead architectural strategy for how we unify signals, models, and data into coherent, trustworthy experiences; modernize our ranking and personalization stack; and build the AI-forward infrastructure that makes Copilot Discover feel intelligent, anticipatory, and personalized for every user. The key is an end-to-end focus on outcomes, across a broad technical space.

You’ll be expected to influence platform direction across multiple teams and adjacent organizations. You will ensure that the MSN and Copilot Discover systems are robust, scalable, privacy‑respecting, and engineered for long-term adaptation. High product sense is a success factor – how you drive product and architectural convergence across today’s fragmented surfaces, reduce complexity, and shape a consistent platform model is key to the success of the product and this role.

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.

• Own the technical direction for Copilot Discover platforms, setting end-to-end architectural strategy.
• Partner with product, design, data science, and engineering leaders to translate business and user needs into executable architectural plans, well-documented designs, and multi-year roadmaps
• Set and govern architectural decisions across multiple services and teams, ensuring systems are scalable, secure, reliable, cost-efficient, and grounded in data, telemetry and operational excellence.
• Raise the technical bar across the organization by establishing flasifible principles, reviewing critical designs, and helping to develop technical leaders within the team.
• Establish and evolve quality and reliability standards, including test strategies, CI/CD practices, monitoring, alerting, and live-site health.
• Shape the adoption of AI/ML techniques for content understanding, personalization, summarization, and safety, in close collaboration with MAI and partner teams.
• Serve as a cross-org technical leader, aligning MSN architecture with Bing, Copilot, Ads, Privacy, Trust, and other Microsoft platforms.

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred Qualifications:

• Master’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Bachelor’s Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Experience in ML/AI systems, especially in content understanding, ranking, or personalization.
• Proven experience designing and operating large-scale distributed systems, including data pipelines, microservices, APIs, and storage systems.
• Experience with content platforms, personalization systems, or consumer-facing services at scale.
• Experience with technologies such as Apache Spark, Kafka, columnar storage, data modeling, and schema evolution.
• Demonstrated success as a technical lead or architect, influencing across teams without direct authority.
• Solid understanding of system architecture, performance tuning, telemetry design, and operational excellence.
• Experience in ML/AI systems, especially in content understanding, ranking, or personalization.
• Excellent analytical and communication skills, with the ability to clearly articulate complex technical concepts.
• Solid cross-organizational collaboration skills and the ability to influence senior stakeholders.

#MicrosoftAI #MAICopilotDiscover 

Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $165,600 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

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

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Microsoft Advertising is a rapidly growing business powering global advertisers across search, audience, and emerging AI-driven channels. The Measurement team builds foundational measurement solutions that enable advertisers to understand performance, optimize outcomes, and trust Microsoft Advertising as a results-driven platform. Measurement spans conversion tracking, attribution, cross-channel reporting, viewability, experimentation, and third-party measurement integrations. 

We are seeking a Principal Technical Program Manager (TPM) to lead execution across Advertising Measurement initiatives. This role focuses on delivering reliable, privacy-aware, and scalable measurement primitives that directly impact advertiser decision-making. You will work closely with Product Managers, Engineering Managers, and Software Engineers to translate product requirements into shipped outcomes across complex, data-intensive systems.

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 execution for Measurement programs: 
  • Translate PRDs into actionable execution plans across conversion tracking, attribution, cross-channel measurement, viewability, and third-party measurement integrations. 
• Coordinate cross-functional teams: 
  • Partner with Product, Engineering, Data Science, and Privacy stakeholders to ensure alignment, unblock issues, and deliver on commitments. 
• Lead program execution and delivery: 
  • Run core program routines including planning, dependency management, risk tracking, status reviews, and executive communications. 
• Shepherd releases end-to-end: 
  • Oversee development, quality validation, launch readiness, and post-launch monitoring for measurement features and platforms. 
• Define and drive success metrics: 
  • Partner with Product and Engineering to identify meaningful success metrics for measurement solutions, and ensure telemetry and reporting are in place to track progress and outcomes. 
• Ensure data quality and reliability: 
  • Drive solid practices around event pipelines, telemetry, data validation, and system observability to ensure accurate and trusted measurement. 

Required Qualifications:

• Bachelor’s Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development
  • OR equivalent experience.
• 3+ years of experience managing cross-functional and/or cross-team projects.

Additional or Preferred Qualifications:

• Bachelor’s Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development
  • OR equivalent experience. 
• 8+ years of experience managing cross-functional and/or cross-team projects.
• 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos).
• Demonstrated ability to translate PRDs into shipped outcomes across multiple engineering teams and systems.
• Solid expertise in dependency management, risk mitigation, planning, and release execution.
• Excellent communication and stakeholder management skills, including executive-level updates.
• Experience working closely with Engineering Managers and Software Engineers in highly technical environments.
• Solid technical fluency with event pipelines, telemetry systems, data quality validation, and large-scale data processing.
• Experience with advertising measurement, conversion tracking, attribution, experimentation, or analytics platforms.

#MicrosoftAI 

Technical Program Management IC5 – The typical base pay range for this role across the U.S. is USD $142,800.00 – $274,800.00 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000.00 – $304,200.00 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

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

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

• Ship delightful, AI powered experiences that will shape how millions of people will interact with AI in the future 
• Collaborate with AI researchers, product managers, and designers to bring a world-class AI companion to the world 
• Design and build efficient and reusable front-end systems that drive complex web applications 
• Plan and deploy front end infrastructure necessary to build, test, and deploy our products 
• Join a small team of world class product engineers with deep frontend expertise who are obsessed with building beautiful and performant products
• Embody our Culture and Values

Required Qualifications

• Bachelor’s degree in computer science, or related technical discipline AND 4+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React OR equivalent experience. 

Preferred Qualifications

• Bachelor’s degree in computer science, or related technical discipline AND 10+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React OR Master’s Degree in Computer Science, or related technical discipline AND 8+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React OR equivalent experience.
• Have 0 to 1 experience with a bias towards shipping and learning, while balancing a high-quality bar. 
• Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.
• Enjoy working closely with cross-functional partners and teammates in an inclusive, curious culture. 
• Take a user-centric approach to product development, prioritizing solutions that result in the best user experience and have the technical expertise to pull it off. 

Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800.00 – $234,700.00 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200.00 – $261,000.00 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $142,800.00 – $274,800.00 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000.00 – $304,200.00 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

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

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Help millions of people find the right local businesses and services at the moments that matter most. At Bing Places, we build the systems that power local discovery across Microsoft experiences. You’ll work at the intersection of engineering, data, and product to improve the quality, relevance, and trustworthiness of local search at global scale.

In this role, you’ll build and operate scalable systems that power accurate and trustworthy local search experiences across Microsoft. As a Software Engineer II on Bing Places, you’ll collaborate with engineers, data scientists, and product partners to integrate diverse data sources, improve ranking quality, and ship features used by millions of customers. The role offers solid growth opportunities as you deepen your expertise in distributed systems, geospatial data.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

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. 

• Contribute to architecture, engineering standards, and development practices across the team. 
• Work with appropriate stakeholders to determine user requirements for a set of features.
• Contribute to the identification of dependencies, and the development of design documents for a product area with little oversight.
• Create and implement code for a product, service, or feature, reusing code as applicable.
• Contribute to efforts to break down larger work items into smaller work items and provides estimation.
• Act as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gain approval to restore system/product/service for simple problems.
• Remain current in skills by investing time and effort into staying abreast of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.

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 Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Bachelor’s Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 1+ with data engineering leveraging tools such as Apache Hadoop or Spark or equivalent experience.
• Experience with Azure Cloud, Azure Data Factory (ADF) 
• 3+ years of experience in solving, design, coding, and debugging skills.
• Demonstrated experience with products that involve high availability/reliability and low latency systems.

#MicrosoftAI 

Software Engineering 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.