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.

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.

The Ads Monetization Algo team at Microsoft Advertising focuses on optimizing ad performance for all advertisers in our ecosystem by bidding on their behalf in real-time auctions across our marketplaces. We are also responsible for designing and optimizing the auctions for the long term. All of these works are done through algorithm development, optimization, and experimental analysis of advertiser strategies and auction mechanisms. In our team, applied scientists work together and utilize all sorts of platforms, techniques, and approaches, including but not limited to mathematical modeling and optimization, machine learning, optimal control, game theory, and general economics and operations research. We build and develop both online stacks as well as offline workflows to support our algorithms. At its core, our team utilizes signals of user and advertiser intent as well as auction characteristics to determine in real-time or near-real-time which ads can enter the auctions. Our work directly impacts 10+ billion dollars in revenue annually.

We are looking for a highly skilled applied scientist with development and management skills and a background in quantitative fields such as statistical machine learning, decision theory, operations research, optimization theory, mathematical modeling, data mining, causal inference, information retrieval, game theory, mechanism design, and optimal control. They will play a key role in driving algorithmic improvements to online and offline systems, developing and delivering robust and scalable solutions, making direct impacts on advertisers’ experience and the ad marketplace’s long-term health to collectively and continually increase the revenue for Microsoft Advertising.

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.

• Designing, implementing, and analyzing bidding strategies using techniques from optimization, control theory.
• Designing, prototyping, and analyzing different auction mechanisms given specific product area.
• Designing and overseeing large-scale, long-term experiments to improve the health of the marketplace using advanced statistics and machine learning.
• Designing automation algorithms for advertisers using techniques from AI and ML to improve advertisers’ return on investment.
• Implementing methods for optimizing the marketplace at the large scale.
• Developing models for causal reasoning using techniques from AI, ML, and statistics.

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 experience developing and deploying live production systems, as part of a product team.
• 3 Years of experience in Auto-Bidding or Auction Design.

#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.

Microsoft Superintelligence team’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.
This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence — ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society — advancing science, education, and global well-being.
We are hiring a Product Manager to own AI model security — the discipline of making our frontier models resilient against adversarial attack and purpose-built for security practitioners. This role has a dual mandate: (1) harden our models against the full spectrum of LLM security threats — prompt injection, data exfiltration, jailbreaking, training data extraction, zero-day exploit generation, model poisoning, and agentic workflow exploitation — and (2) partner closely with Microsoft Security product teams (Azure Security, Security Copilot) to ensure our models deliver best-in-class capabilities for real-world security workflows.
This is not a safety role (we have one). This is security: you think like an attacker, you understand the OWASP LLM Top 10, and you bring product judgment to hard tradeoffs between model capability and attack surface. You also understand what security analysts and incident responders need from AI — and you work backwards from their workflows to define model training priorities, evaluation benchmarks, and product requirements.
You will work shoulder-to-shoulder with model researchers, engineers, and red teamers. You will personally build evaluation frameworks, define security benchmarks, and drive decisions about what to ship and what to hold. This is a small team with high ownership — you will see your work in production and be accountable for outcomes.

Responsibilities

• Own the model security roadmap: Define and prioritize the security hardening strategy for our frontier models across the full OWASP LLM threat surface — prompt injection (direct and indirect), data exfiltration, jailbreak resistance, system prompt leakage, training data extraction, and adversarial manipulation of agentic workflows.
• Drive zero-day and exploit defense: Work with researchers to evaluate and mitigate the risk of models being used to generate zero-day exploits, malware, or novel attack vectors. Define thresholds, build evaluation datasets, and own the decision framework for what the model should and should not be capable of in the security domain.
• Build and scale red-teaming frameworks: Design, run, and iterate adversarial testing programs — both automated and human-driven — to continuously probe model vulnerabilities. Establish metrics (e.g., jailbreak success rate, injection bypass rate, exfiltration resistance) and drive measurable improvement over time.
• Partner with Microsoft Security product teams: Work closely with Azure Security and Security Copilot teams to translate their product requirements into model training priorities. Ensure our models are purpose-built for threat detection, incident triage, vulnerability assessment, log analysis, and compliance reasoning.
• Define security-specific model evaluations: Build benchmark suites and evaluation frameworks that measure real-world security usefulness — not just academic performance. Drive training data strategy to improve domain-specific model quality for security practitioners.
• Shape security policy and launch readiness: Establish clear security criteria for model launches. Own the security dimension of go/no-go decisions, with frameworks that balance capability, risk, and deployment context.
• Stay at the frontier: Track the rapidly evolving LLM security landscape — new attack techniques, emerging standards (OWASP, NIST AI RMF), regulatory requirements (EU AI Act), and academic research. Translate what you learn into actionable product priorities.
• Influence model training and architecture: Partner with researchers and engineers to embed security considerations into model training, fine-tuning, RLHF, and post-training safeguards. You don’t just test — you shape what gets built.

Required Qualifications

• Bachelor’s Degree AND 5+ years experience in product management, security engineering, or software development OR equivalent experience
• Demonstrated hands-on experience with AI/ML systems — you have personally built, evaluated, or shipped ML-powered products or security tools
• Deep familiarity with LLM security threats: prompt injection, jailbreaking, data exfiltration, adversarial attacks on generative models — through professional experience, red-teaming, or security research
• Experience defining product requirements and driving decisions in partnership with researchers or ML engineers
• Track record of building evaluation systems, security benchmarks, or adversarial testing frameworks — not just consuming them
• Ability to operate autonomously, make decisions with incomplete information, and drive projects from ambiguity to shipped outcomes

Preferred Qualifications

• Technical background in computer science, security, or AI/ML — a postgraduate degree is a plus but not required
• Experience in offensive security, penetration testing, or red teaming — ideally applied to AI/ML systems
• Familiarity with security workflows and tooling (SIEM, SOAR, EDR, threat intelligence platforms) and how practitioners use them in production
• Understanding of the model lifecycle (pre-training, fine-tuning, RLHF, deployment, monitoring) and where security interventions are most effective
• Experience working with or within enterprise security organizations (e.g., Microsoft Security, CrowdStrike, Palo Alto Networks, or similar)
• Published research, blog posts, or public contributions in AI security, adversarial ML, or LLM red teaming

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

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

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

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

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

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 Superintelligence team’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.
This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence — ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society — advancing science, education, and global well-being.
We are looking for a design leader who is obsessed with how AI feels — not just how it looks. You’ll own the end-to-end design quality of our model’s personality, tone, and user-facing experiences across MM Labs, Playground, marketing surfaces, and model personality specification. This is a player-coach role: you’ll spend roughly 80% of your time doing hands-on IC work (model personality design, UX prototyping, interaction design) and 20% coaching and growing a small team of model and UX designers.Your team includes model designers with linguistics backgrounds who shape how the model speaks, responds, and behaves — and UX designers who translate that into product surfaces. You set the creative bar for both disciplines. The right person for this role has exceptional design taste and craft, a deep intuition for language and personality, and the drive to personally produce work that sets the standard for the team.
This is a small team where everyone builds. There is no room for armchair leadership — you will be in the work daily, reviewing SFT data quality alongside your model designers, critiquing interaction flows with your UX designers, and prototyping experiences yourself. You will ship regularly, and your work will directly shape how millions of people experience our AI.

• Own the creative vision for model experience: Define and evolve how our AI models look, feel, speak, and interact across all surfaces — establishing a coherent design language that spans personality, tone, visual design, and interaction patterns.
• Do the work yourself: Personally produce high-quality IC output — whether that’s crafting model personality specifications, designing interaction prototypes, defining prompt taxonomies, or building evaluation frameworks for response quality. You lead by example.
• Shape model personality and tone: Work directly with model researchers to define and refine the model’s character, voice, and communication style. Translate abstract personality goals into concrete SFT data strategy, quality rubrics, and evaluation criteria.
• Drive UX for key product surfaces: Own the experience design for MM Labs, Playground, marketing pages, and model specification tools. Ensure every surface reflects world-class design craft and a deep understanding of how users interact with AI.
• Coach and grow a small team: Manage 4-5 direct reports across model design and UX design. Set direction, run rigorous critiques, unblock your team, and raise the quality bar — while keeping your own hands in the work.
• Bridge linguistics and design: Serve as the connective tissue between model behavior (how the model responds) and product experience (how users perceive and interact with those responses). Ensure linguistic quality and design craft reinforce each other.
• Partner across research and engineering: Collaborate closely with model researchers, product managers, and engineers to influence model training priorities, evaluation rubrics, and user-facing capabilities from the earliest stages of development.
• Build evaluation systems for design quality: Define what “good” looks like for model personality and UX. Build rubrics, run evaluations, and create feedback loops that connect user experience insights back to model training.

• Bachelor’s Degree in Product Design, Human-Computer Interaction, Interaction Design, Communication Design, Linguistics, or related field AND 8+ years experience in product design, experience design, or a related creative discipline
• OR Master’s Degree in a related field AND 6+ years experience
• OR equivalent experience (e.g., demonstrated track record of shipping design work that shaped product identity and user experience)
• 2+ years of experience managing or mentoring designers, with a strong preference for player-coach roles where you remained deeply hands-on
• A portfolio that demonstrates exceptional craft in interaction design, visual design, or content/personality design — with evidence of personal IC contribution, not just direction-setting
• Experience designing for AI, LLM, or conversational systems — or a demonstrated deep understanding of how language, tone, and personality affect user trust and experience
• Comfort working across disciplines: you can review SFT data quality with a linguist in the morning and critique a Figma prototype in the afternoon
• Track record of shipping products end-to-end in ambiguous, fast-moving environments where you owned both the vision and the details

Product Design M6 – 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.

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.

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 $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.

• Build scalable data pipelines for telemetry ingestion, anomaly detection, and cohort segmentation.
• Implement ML-driven insights (prompted classifiers, anomaly detection) and integrate them into dashboards and APIs.
• Develop secure, compliant workflows for handling production logs and conversation data.
• Enable drill-down capabilities linking quantitative metrics to qualitative evidence for actionable context.
• Collaborate with PMs and DS to refine hypotheses and deliver intuitive, high-performance interfaces.
• Own technical strategy for trend detection, cohort analysis, and drill-down workflows linking quantitative metrics to qualitative conversation evidence.
• Prototype and productionize ML models for anomaly detection and predictive insights.
• Ensure compliance and security for data handling across telemetry, logs, and conversation datasets.
• Collaborate with PMs, data scientists, and UX to define roadmap and deliver intuitive, high-impact workflows.
• Independently write efficient, readable, extensible code and model pipelines.
• Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.
• Hands-on with observability (metrics, tracing, logs) and model evaluation frameworks.

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.

Preferred Qualifications:

• Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python 
  • OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.
• Demonstrated interest in Responsible AI.

#MicrosoftAI

 #mai-datainsights

 #mai-datainsights

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

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

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.