Overview

We’re building the next-generation Grounding Service that powers the latest AI applications—chat assistants, copilots, and autonomous agents—with factual, cited, and trustworthy responses. Our platform stitches together retrieval, reasoning, and real-time data so that large language models stay anchored to enterprise knowledge, the public web, and proprietary tools.

We’re looking for a Principal Applied Scientist to lead end-to-end science for grounding: inventing retrieval and attribution methods, defining factuality/faithfulness metrics, and shipping production models and APIs that scale to billions of queries. You’ll partner closely with engineering, product, research, and customers to deliver fast, reliable, and explainable answers with source citations across a diverse set of domains and modalities.

As a team, we value curiosity, pragmatic rigor, and inclusive collaboration. We believe great systems emerge when scientists and engineers co-design metrics, models, and infrastructure—and when we obsess over customer impact, privacy, and safety.

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.

Responsibilities


Qualifications

Required Qualifications:

#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.

Overview

The Publisher Marketplace is a next-generation platform that enables LLM clients (such as Copilot) to discover, access, and pay for premium content from trusted publishers. As a Principal Software Engineer, you will lead the design and development of backend systems and data pipelines that power this marketplace. You will make key architectural decisions, ensure scalability and security, and mentor other engineers to deliver a world-class product.

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.

Responsibilities

• Architects and builds scalable core services, including APIs and microservices for publisher onboarding, content catalog management, entitlement, and billing, ensuring secure integration with LLM clients for seamless content consumption.
• Designs and implements robust testing and analytics systems, developing ingestion pipelines for premium content, enabling real-time usage tracking, billing insights, and performance monitoring, while leveraging AI tools for test automation.
• Leads architecture and infrastructure design, creating systems that support subscription models, pay-per-use billing, and licensing compliance, while optimizing backend performance for high availability and low latency in AI-driven environments.
• Drives engineering excellence, applying secure coding practices, automation in deployment, and compliance validation, while continuously improving code quality, maintainability, and performance through metrics and best practices.
• Guides implementation and release planning, breaking down work into manageable tasks, estimating timelines, and ensuring disaster recovery, rollback strategies, and secure deployment processes are in place.
• Champions reliability and supportability, integrating telemetry and monitoring for live site operations, conducting incident retrospectives, and improving observability to reduce downtime and enhance system resilience. 

Qualifications

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.
• Minimum of 5 years of experience in backend development and distributed systems.
• Solid knowledge of data processing frameworks (e.g., Spark, Kafka) and streaming systems.
• Experience with cloud platforms (Azure preferred), container orchestration (Kubernetes), and CI/CD pipelines.
• Familiarity with secure payment systems, API gateway patterns, and identity management.
• Proven ability to design high-scale systems for AI and LLM integration.

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 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Experience with marketplace platforms, digital content monetization, or AI ecosystems.
• Knowledge of data privacy regulations (e.g., GDPR, CCPA) and intellectual property protection strategies.
• Understanding of LLM workflows and content licensing models.  

#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.

Overview


Responsibilities


Qualifications

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.
• 6+ years’ experience building scalable platforms on public cloud infrastructure like Azure, AWS, or GCP with extensive use of technologies like Docker, Kubernetes, nginx, RDBMS, key-value stores, etc. 
• 6+ years’ experience in building and releasing production software at the platform level. 
• Solid knowledge of APIs, data flows, systems, and services. 

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:

• Experience managing high scale, multi-region, production environments on Kubernetes in cloud environments 
• Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. 
• Dedication to writing clean, maintainable, and well-documented code with a focus on reliability, security and ease of use. 
• Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, and other engineers. 
• Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. 
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. 
• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI. 
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. 

#MicrosoftAI #Copilot

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.

Overview


Responsibilities


Qualifications

Required Qualifications:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
  • OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) 
  • OR equivalent experience.
• Minimum of 4 years of hands-on experience designing and building search, retrieval, or ranking systems.
• Proven track record of shipping LLM-powered or Retrieval-Augmented Generation (RAG) systems into production environments.
• Solid coding skills and solid foundation in machine learning, with the ability to implement and optimize models effectively.
• Demonstrated ability to lead through ambiguity, make principled trade-offs, and deliver measurable impact in cross-functional, fast-paced settings.

Preferred Qualifications:

• Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• Demonstrated expertise in information retrieval, with publications in top-tier conferences or journals such as NeurIPS, ICML, ICLR, SIGIR, or ACL.
• Hands-on experience in large language model (LLM) development, including pretraining, supervised fine-tuning (SFT), and reinforcement learning (RL).
• Proven track record in optimizing LLM inference, or active contributions to open-source frameworks like vLLM, SGLang, or related projects.

#MicrosoftAI #BING

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.

Overview


Responsibilities


Qualifications

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.
• At least 5 years of software development experience and over 2 years of project management experience.
• Good English communication skills, with the ability to effectively engage in technical and business discussions with global teams.
• Solid project management abilities, familiar with Agile development processes, and capable of working effectively in a multitasking environment.
• Excellent leadership and team collaboration skills, with the ability to motivate team members and communicate effectively with cross-functional teams.
• Solid analytical and problem-solving skills, capable of quickly responding to and handling system failures.
• Solid interest in technological innovation and the ability to lead a team in a fast-changing technical environment.

Preferred Qualifications:

• A background in recommendation systems or algorithms, with the ability to provide professional guidance and innovative ideas in personalized content recommendations.

#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.

Overview


Responsibilities


Qualifications

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

• • Swift and SwiftUI
  • Objective-C
  • AppKit, Combine, URLSession, XPC, and related macOS frameworks
  • macOS app lifecycle, sandboxing, entitlements, signing, and distribution
• Understanding of performance tuning, memory management, and multithreading.
• Experience in building high-quality, user-facing desktop applications.
• Ability to design clean, maintainable architecture and write robust, testable code.
• Solid debugging skills and familiarity with Xcode Instruments.
• Solid understanding of client-server interaction patterns and RESTful or streaming APIs.
• Excellent learning agility — able to quickly pick up new technologies and adapt to fast-changing product directions.
• Solid stress resilience — able to thrive in an accelerated, high-impact environment with frequent iteration.
• Effective communication and cross-team collaboration skills, especially when working with remote or cross-discipline partners.
• Sense of ownership and accountability — a commitment to shipping high-quality work and continuously improving the product.
• Passion for AI, user experience, and building products that make a real difference.

Additional or preferred qualifications:

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.

Overview


Responsibilities


Qualifications

Required Qualifications:

Preferred Qualifications:

• Master’s Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 5+ years of working experience in NLP/search related areas.
• Good experience in LLM post-train, finetuning.
• Experience in RAG system.
• Solid problem-solving skills, and ability to work independently.

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.

Overview


Responsibilities


Qualifications

Required Qualifications:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
  • OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• Prior experience with Research, Applied Science, Search / Recommedation or other solid experience on deep model training.
• Experience with common machine learning, deep learning frameworks and concepts, using use of LLMs, prompting.
• Experience in pytorch or tensorflow is a bonus.
• Ability to communicate technical details clearly across organizational boundaries.

Preferred Qualifications:

• Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• Solid experience and understanding on Deep model and Retrieval.
• Solid Research experience and publications.
• Familiar with model optimization on training/inference and GPU side.

#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.

Overview

We are the MSN Content Ecosystem team under the Microsoft AI Department, building an intelligent platform for content creators. Our platform supports partner/brand onboarding, content ingestion, engagement data analysis and visualization, revenue sharing computation, and payment processing. We leverage AI to empower creators through: Customer Service Chatbot: Quickly answers any MSN partner hub related questions; Data Insight Analyzer: Analyzes revenue, content, and user data to help partners identify high-performing content patterns and optimize strategies.
We are looking for a passionate and experienced Senior Software Engineer to join us and drive the platform’s intelligence and scalability.

Responsibilities

• Design and develop core platform features including partner content onboard, data analytics, and revenue computation
• Collaborate closely with PMs, designers, and AI scientists to integrate AI capabilities into the product
• Optimize system performance and scalability
• Stay up to date with emerging technologies and drive technical innovation within the team

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 computer science fundamentals and background knowledge in AI
• Prior experience in AI-related roles is preferred
• Proficient in programming languages and frameworks such as Python, C#, Java, and frontend development tools
• Strong communication skills and a collaborative mindset

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.

Overview
As Microsoft continues to push the boundaries of AI, we are seeking brilliant and passionate engineers to work with us on the most interesting and challenging problems of AI Infrastructure development. We are a team focusing on large language model optimization, and we are at the forefront of driving innovation in large-scale AI infrastructure. You will be instrumental in designing and implementing the high-performance, massively scalable infrastructure required to deploy frontier LLM models through innovative GPU kernel, compression, scheduling and parallelization optimizations, directly contributing to groundbreaking advancements in the field. This role is not just about maintaining systems; it’s about architecting the future. If you are passionate about AI systems, low-level performance optimization, and solving hard cross-discipline engineering problems, we invite you to join us and help shape the future of AI at Microsoft. This is your opportunity to make a defining impact.

Responsibilities

– Keep up to date with and utilize the latest developments in LLM system optimization.

– Take the lead in designing innovative system optimization solutions for internal LLM workloads.

– Optimize LLM inference workloads through innovative kernel, algorithm, scheduling, and parallelization technologies.

– Continuously develop and maintain internal LLM inference infrastructure. – Discover new LLM system optimization needs and innovations.

Qualifications

– A bachelor’s degree or higher in computer science, engineering, or a related field, PhD is preferred

– Strong programming skills in Python and C/C++- 5+ years of experience in machine learning system development and optimization

Preferred Qualifications:

– 5+ years of experience in CUDA kernel development and optimization

– Experience in optimizing communication layer / kernels for deep learning systems

– Experience in machine learning model compression – Experience on different hardware such as both NVIDIA and AMD GPUs is a plus

– A growth mindset and a passion for learning new things

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.