Required Qualifications:

• Bachelor’s Degree AND 8+ years experience in product/service/program management or software development.
  • OR equivalent experience.

Preferred Qualifications:

• 3+ years of experience launching 0-to-1 products (from concept to market) in a consumer-facing product environment.
• 3+ years of experience building products that leverage AI/ML technologies.
• Experience managing and shipping products in an AI lab or an AI-focused startup.
• Proven track record of collaborating with cross-functional teams (engineering, design, research) to deliver user-facing features.
• Familiarity with experimentation tools, data analytics, and strong in vibe coding / working knowledge of coding (Python, JavaScript, SQL).
• Excellent analytical, communication, presentation and negotiation skills with cross-functional organizations, customers and stakeholders.
• Entrepreneurial mindset, possesses a high energy level to react to situations quickly and decisively, possessing self-confidence to be assertive when taking a position, not afraid to make decisions.
• Passionate & capable of driving cross-functional initiatives – product features, distribution tactics & partnerships. 
• Demonstrated expertise in growing consumer products of large scale globally.  

#MicrosoftAI

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 building the next generation of intelligent recommendation and decisioning systems across search, native, display, video, commerce, and emerging AI-mediated experiences.

We are seeking a Senior Principal Applied Scientist to define and drive the scientific direction for large-scale recommender and decisioning systems across Ads. This role spans retrieval, matching, relevance, ad quality, fraud and abuse detection, content and intent understanding, foundation-models and its powered recommendation experiences.

This role is focused on creating the scientific foundations that enable new monetization scenarios to scale with high quality, operational efficiency, and rapid iteration across evolving product surfaces. The ideal candidate will operate across multiple horizons: delivering measurable near-term product and business impact, while shaping the long-term architecture of next generation of Ads systems.

• Define, drive  and deliver  multi-year technical strategy, and investment roadmap for large-scale recommender and decisioning systems across Ads.
• Lead the invention, incubation, and productionization of next-generation machine learning systems spanning large retrieval models,  foundation-model-powered recommendation systems and agentic workflows.
• Drive step-function improvements in relevance, user value, advertiser outcomes and system efficiency
• Influence senior leaders across product, engineering and partner science organizations on scientific direction, architecture, long-range capability building, and prioritization of major investments.
• Mentor scientists and engineers, elevate scientific rigor and technical standards across the organization, and help shape the next generation of applied science leadership.

• Bachelor’s Degree in Computer Science, Statistics, Electrical Engineering, Computer Engineering, or related field AND 15+ years of related experience in applied science, machine learning, recommender systems, information retrieval, ranking, optimization, or related areas
  OR Master’s Degree in a related field AND 12+ years of related experience
  OR Doctorate in a related field AND 10+ years of related experience
  OR equivalent experience.
• Deep expertise in one or more of the following areas: retrieval, relevance, recommender systems, large-scale machine learning,  trust and safety
• Proven track record of defining technical and scientific strategy for large-scale machine learning systems and delivering measurable product and business impact in production environments.
• Demonstrated experience leading cross-organizational scientific initiatives and influencing technical direction across multiple teams, product surfaces, or organizational boundaries.
• Strong communication, technical leadership, and cross-functional collaboration skills, with the ability to connect deep scientific work to product, engineering, and business outcomes.
• Demonstrated ability to operate effectively in ambiguous, fast-evolving technical spaces and convert emerging opportunities into scalable production direction.
  Experience building foundation models for  large-scale recommender systems

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 building the next generation of intelligent systems that power how users discover relevant ads and how advertisers connect with customers across search, native, display, video, and emerging AI experiences. We operate at global scale, serving billions of requests.

We are seeking a Senior Applied Scientist to work across a broad portfolio of applied machine learning problems in Ads. This role spans retrieval, ranking,  marketplace quality, fraud and abuse detection, content understanding, moderation, and emerging foundation-model-powered experiences. The work entails developing and applying LLMs, large retrieval models, multimodal systems, and agentic or deep-research-style workflows to high-impact advertising scenarios at scale.

This is an opportunity to work on frontier machine learning problems with direct production impact, improving relevance, quality, safety, efficiency, and advertiser outcomes at massive scale.

• Design and improve large-scale learning systems for matching, relevance, prediction, classification, and decision-making in production environments.

• Partner closely with product, and platform teams to productionize models and measure impact through rigorous offline and online experimentation.

• Analyze large-scale data to identify modeling opportunities, understand failure modes, and drive continuous improvements in product quality and system performance.

Contribute to technical innovation through prototyping, experimentation, publications, patents, and strong scientific rigor.

Required Qualifications

• Bachelor’s Degree in Computer Science, Statistics, Electrical Engineering, Computer Engineering, or related field AND 6+ years of related experience in applied science, machine learning, recommender systems, information retrieval, or related areas
  OR Master’s Degree in a related field AND 4+ years of related experience
  OR Doctorate in a related field AND 2+ years of related experience
  OR equivalent experience.

• Strong foundation in machine learning and depth in one or more relevant areas such as retrieval, ranking, recommender systems, representation learning, fraud detection, content quality, moderation

• Experience building, evaluating, and shipping machine learning models in production environments.

• Ability to design experiments, analyze results, and make data-driven decisions in complex systems.

• Strong problem-solving, communication, and cross-functional collaboration skills.

Preferred Qualifications

• Experience in Ads, search, recommendation systems, trust and safety, marketplaces, or other large-scale online platforms.

• Familiarity with large-scale distributed training, online inference systems, and latency-sensitive production services.

• Track record of technical impact through shipped systems, research publications in top tier conferences.

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.

As the advertising ecosystem expands, sophisticated adversarial actors are leveraging generative AI, automation, and distributed infrastructure to bypass safety controls. The Ads Trust and Safety team requires a Principal Applied Scientist to contribute to the research and technical strategy for Threat Modelling team. We are looking for a security domain expert who can advance the state of the art in Threat Modeling, and Adversarial Defense. This role involves transitioning trust mechanisms from static verification to dynamic, behavioral-based integrity systems. You will architect solutions to detect and neutralize high-complexity fraud vectors eg phishing, Payment fraud, cloaking, malware distribution, token misuse, and authentication etc ensuring the ads platform remains safe for users, advertisers and publishers.

The primary success metric is the robust identification and mitigation of advanced abuse vectors with minimal impact on legitimate advertiser friction and ad-serving latency.

Responsibilities

• Strategic Threat Modeling: Develop and maintain comprehensive adversarial frameworks to map the lifecycle of emerging threats, from account compromise (ATO) to malicious payload delivery.
• Evolution of Advertiser Trust: Advance the continuous, signal-based security protocol. Research and implement behavioral biometrics and Proof of Liveness models to detect synthetic identities and coordinated fraud rings.
• Adversarial Research: Proactively identify “unknown unknown” vulnerabilities through red-teaming and exploratory data analysis, developing models to predict attacker behavior before widespread exploitation.
• Technical Leadership: Drive the technical roadmap for integrity and security, mentoring senior engineers and influencing cross-functional stakeholders on security investment priorities.

Required Qualifications

• Bachelor’s, Master’s, or PhD degree in Computer Science, Cybersecurity, Mathematics, or a related field, with 10+ years of related experience.
• Deep technical expertise in Cybersecurity, Anti-Abuse, or Adversarial Machine Learning.
• Strong programming skills in C++ or Python (at least one is required), with experience in building production-quality security or ML systems.
• Hands-on experience in one or more of the following:
• Web Security standards and Authentication Protocols (OAuth, OIDC).
• Malware analysis, de-obfuscation, or reverse engineering.
• Building fraud detection models at scale.
• Proven ability to design and implement defense mechanisms against complex abuse vectors (e.g., botnets, synthetic identity, evasion/cloaking).
• Strong communication and collaboration skills, with experience articulating complex security risks to business and product leadership.

Preferred Qualifications

• 5+ years of experience in an Adversarial/Trust & Safety role at a major internet platform or cybersecurity firm.
• Familiarity with the Ad-Tech stack (RTB, OpenRTB) and associated fraud incentives.
• Background in Graph Neural Networks (GNNs) for fraud ring detection or behavioral biometrics.
• Track record of impact via security research publications, patents, or contributions to industry security standards.

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.

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 and scale AI‑driven testing capabilities using LLMs, prompts, and agent‑based workflows to validate MAI products across scenarios, geographies, and product surfaces.
• Design and optimize prompts, models, and agent behaviors to perform functional, quality, and experience‑focused testing at scale.
• Collaborate closely with product and engineering teams across MAI and beyond to understand testing needs and translate them into efficient, AI‑powered testing workflows.
• Develop metrics and evaluation frameworks to measure test quality, coverage, effectiveness, and signal accuracy across AI‑driven testing pipelines.
• Create actionable outputs and insights (issues, summaries, trends, and recommendations) that product owners can directly consume to fix defects and improve product quality.
• Continuously evolve the platform toward more autonomous and agentic workflows, reducing manual effort while increasing depth and reliability of testing.
• Partner with engineers and platform teams to operationalize data science solutions in production, ensuring scalability, reliability, and performance.

Required Qualifications:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 7+ 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 5+ 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+ year(s) related experience (e.g., statistics, predictive analytics, research).
  • OR equivalent experience.
• 4+ years of solid experience in Data Science, Applied AI, or Machine Learning, with a track record of building solutions that operate at scale.
• Hands‑on experience with LLMs, prompt engineering, and/or agentic AI systems.
• Solid foundation in statistics, experimentation, and metrics design, especially for evaluating AI system quality.
• Experience working with data pipelines, model evaluation, and production systems.
• Ability to work across multiple product teams, influence without authority, and translate ambiguous testing needs into concrete AI solutions.
• Solid communication skills to explain complex AI outputs clearly to engineering and product stakeholders.

Preferred Qualifications:

• 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• 3+ year(s) experience developing and deploying live production systems, as part of a product team.
• 3+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

#MicrosoftAI

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 rapid-growing business powering global advertisers across search, display, and emerging AI-driven channels. Our CRM team builds next-generation customer relationship management solutions that unify advertiser data, enable intelligent workflows, and deliver actionable insights across sales, marketing, and service. 

If you’re passionate about AI innovation, Copilot experiences, and building systems that empower thousands of sellers and marketers worldwide, this is your opportunity to make an impact. 

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 & Develop CRM Solutions: Customize and extend Dynamics 365 CRM for advertising workflows (Sales, Marketing, Case Management). 
• Data Integration: Connect CRM with Ads systems, marketing automation tools, and reporting platforms (Power BI). 
• AI-Enhanced Features: Support AI-first initiatives and automation capabilities within CRM systems to streamline workflows and improve seller efficiency. 
• Collaborate Across Teams: Partner with product managers, data engineers, and sales teams to align CRM capabilities with business goals. 
• Ensure Quality & Compliance: Maintain data integrity, privacy compliance, and security standards. 

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Solid knowledge of cloud technologies.
• Experience with large-scale systems and API design.

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 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Solid knowledge of cloud technologies (Azure). 
• Familiarity with CRM platforms and customer data models 
• Understanding of AI/ML concepts for workflow automation 
• Excellent collaboration and communication skills

#MicrosoftAI 

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 building the next generation of intelligent recommender systems that power how users discover relevant ads and how advertisers connect with customers across search, native, display, video, and emerging AI experiences. 

We are seeking a Principal Applied Scientist to lead high-impact applied science initiatives across large-scale recommender systems in Ads. This role is centered on retrieval, matching, marketplace optimization, ad-quality, fraud and abuse detection, content understanding, and emerging foundation-model-powered experiences. The role  involves shaping and applying LLMs, large retrieval models, multimodal systems, and agentic or deep-research-style workflows to high-impact advertising scenarios at scale.

This is an opportunity to define technical direction on frontier machine learning problems with direct production impact : improving relevance, revenue, quality, safety, efficiency, and advertiser outcomes at massive scale.

Responsibilities

• Lead the design and development of machine learning models and algorithms for large-scale recommendation in Ads.
• Define and drive the applied science roadmap for recommender systems that improve relevance, engagement, marketplace quality, efficiency, and business impact.
• Shape technical strategy across multiple horizons, balancing near-term product wins with long-term investments in modern AI approaches.
• Drive cross-team scientific leadership by partnering with  product, platform, and partner science teams to drive innovations and also push them from research into production at scale.
• Mentor senior scientists and engineers, raise the technical bar across the organization, and contribute to a culture of scientific rigor, innovation, and engineering excellence.
• Represent the organization through technical reviews, publications,  and strategic cross-company collaboration.

Required Qualifications

• Bachelor’s Degree in Computer Science, Statistics, Electrical Engineering, Computer Engineering, or related field AND 10+ years of related experience in applied science, machine learning, recommender systems, information retrieval, ranking, or related areas
  OR Master’s Degree in a related field AND 8+ years of related experience
  OR Doctorate in a related field AND 5+ years of related experience
  OR equivalent experience.
• Deep expertise in one or more of the following: retrieval, ranking , marketplace optimization,  large-scale machine learning.
• Proven experience building, shipping, and scaling machine learning models in production environments with measurable business impact.
• Strong communication, technical leadership, and cross-functional collaboration skills.

Preferred Qualifications

• Experience in recommendation systems,  or other large-scale ml driven online platforms.
• Experience training and adapting SLMs and large retrieval models, including pre-training and post-training.
• Familiarity with large-scale distributed training, online inference systems, and latency-sensitive production services.

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

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

We are a team of applied scientists working on machine learning components in the whole sponsored search stack.  Our team works on problems related to machine learning, deep learning, natural language processing, multi-arm bandit, optimization, information retrieval, auction theory, among others. Our work entails building large-scale machine learning systems for ad matching, filtration, ranking, and multi objective optimization, and several other ML-driven business problems. You will design, implement, analyze, tune complex algorithms and ML systems and the supporting infrastructure for operating on large datasets.  You will collaborate with top machine learning scientists and engineers in delivering direct business impact. We’re looking for sound understanding and insight into productionizing machine learning models in large-scale systems, an ability to pick up new technical areas, as well as a commitment to developing, delivering, and supporting algorithms in production.  

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.

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.