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Mountain View, United States

Member of Technical Staff, AI Product Engineer, iOS Member of Technical Staff, AI Product Engineer, iOS

Location
Mountain View, United States
Job Number
200015764-en-1
City
Mountain View
Team
Copilot
Country
United States
Discipline
Software Engineering
Overview

 

Microsoft AI is looking for a talented iOS engineer to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. The Native Engineering team is responsible for leading and building the core experience of Copilot on iOS and Android, while collaborating with our Product Management, Design and AI Research teams. 

Our newly formed organization, Microsoft AI (MAI), is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing. 
 
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. 
 
By applying to this U.S. Mountain View, CA / Redmond, WA position, you are required to be local to the San Francisco/Redmond area and in office 4 days a week.  
 
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.


Responsibilities

 

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


Qualifications

 

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,  Swift, Objective-C, or Java  OR equivalent experience 

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, Swift, Objective-C, or Java 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, Swift, Objective-C, or Java OR equivalent experience. 
  • Contributions to open-source projects.  
  • Experience building iOS applications from scratch. 
  • Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. 
  • Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in mobile development and AI. 
  • Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. 


Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 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 $158,400 – $258,000 per year.

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

Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $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.

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Member of Technical Staff, AI Platform Engineer Member of Technical Staff, AI Platform Engineer

Location
Mountain View, United States
Job Number
200016557-en-1
City
Mountain View
Team
Copilot
Country
United States
Discipline
Software Engineering
Overview
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits. 
 
At Microsoft AI, AI is part of everything we do. Our AI Product Acceleration team is dedicated to enabling rapid development and deployment of AI across our products. We collaborate closely with the top AI engineers in the world, working at the bleeding edge of engineering and AI research. 
 
If you are passionate about AI, eager to work at the forefront of technology, and want to be part of a team that empowers all other teams at Microsoft Copilot to build AI products quickly and seamlessly – join us as an AI Platform Engineer!  
 
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, 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.


Responsibilities
  • As an AI Platform Engineer, you will play a crucial role in building and releasing production software at the platform level. You will work on APIs, data flows, systems, and services that form the backbone of our AI products. Your expertise will help us create robust and scalable platforms that drive innovation and efficiency. 
  • Design, develop, and maintain platform-level software solutions. 
  • Collaborate with cross-functional teams to integrate AI capabilities into various products. 
  • Ensure the reliability, scalability, and performance of platform components. 
  • Stay updated with the latest advancements in AI and engineering. 
  • Work alongside the technical staff and AI researchers to improve model development flows. 
  • Embody our Culture and Values.


Qualifications

Required Qualifications

  • Bachelor’s Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to TypeScript, Python, C, C++, C#, Java
    • OR equivalent experience.
Preferred Qualifications
  • Bachelor’s degree in computer science, or related technical discipline AND 6+ years technical engineering experience building web services with coding in languages including, but not limited to: Python, Golang, Java/Scala, Rust
  • 6+ years’ experience in building and releasing production software at the platform level.
  • Deep experience with all of the following languages: Golang, Java/Scala, Typescript (React/Next.js)
  • Experience in model pretraining, post-training, evaluation, and inference
  • Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.
  • Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
  • Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers. 
  • Experience going from zero-to-one as well as working with developed systems.
  • Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. 


Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 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 $158,400 – $258,000 per year.

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

Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $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.

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Overview
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits. 
 
Microsoft AI (MS AI) is seeking skilled engineers to advance the next generation of capabilities for our personal AI, Copilot. This role involves crafting user-facing features powered by Generative AI while taking full ownership of their development—from inception to delivery, ensuring exceptional quality and seamless implementation. Ideal candidates will have robust experience in infrastructure, platform engineering, and machine learning, bringing technical expertise and a methodical problem-solving approach. Collaboration across teams at Microsoft is key, as you’ll work to expand Copilot’s integrations and scope, creating world-class consumer experiences in a fast-paced, innovative environment. Join a team where positivity, empathy, and effectiveness are as valued as technical acumen. 
 
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. 
 
By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 3 days a week. 
 
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.
 
 


Responsibilities
  • Work on building new AI features that enhance copilot.

  • Build secure and performant AI Platform services that power Copilot.

  • Work collaboratively with other AI Researchers, Platform, infrastructure, application engineers to build next generation AI products and services.

  • Ship high-quality, well-tested, secure, and maintainable code.

  • Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.

  • Enjoy working in a fast-paced, design-driven, product development cycle.

  • Embody our Culture and Values.

 


Qualifications
Required Qualifications: 
  • Bachelor’s degree in computer science, or related technical discipline AND 4+ years technical engineering experience building customer-facing applications/products with coding in languages including, but not limited to C#, Python, Java, Golang 

     

    • OR equivalent experience. 

       

  • Experience leveraging generative AI technologies to develop innovative and user-focused product features. 

     

  • 4+ years’ experience building APIs and creating pipelines for large-scale products 

     

  • 4+ years’ experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.  

Preferred Qualifications:
  • Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.

  • 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 application quality, performance, and security.

  • Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.

  • Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.

  • Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.

  • Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.

  • Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. 



Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 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 $158,400 – $258,000 per year.

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

Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $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.

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Member of Technical Staff – Retrieval-Augmented Generation (RAG) Member of Technical Staff – Retrieval-Augmented Generation (RAG)

Location
Mountain View, United States
Job Number
200016715-en-1
City
Mountain View
Team
Copilot
Country
United States
Discipline
Software Engineering
Overview
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.
 
Microsoft AI (MAI) is seeking experienced Member of Technical Staff to help build Copilot memory and personalization — AI that remembers, evolves, and grows with each user. You’ll work in a highly collaborative, fast-paced environment to develop systems that deepen memory with every interaction, personalize experiences to reflect each user’s unique style and goals, and make interactions feel more like working with a trusted partner than using a tool. 
 
 
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.
 
 
By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 3 days a week.
 
 
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.


Responsibilities
  • Design and build large-scale Copilot memory and personalization systems leveraging search, embeddings, retrieval, ranking, and Retrieval-Augmented Generation (RAG).
  • Apply subject-matter expertise in cross-product features, collaborating with appropriate stakeholders to drive project plans, release plans, and deliverables across multiple groups.
  •  Hold accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on-call to monitor system/product/service for degradation, downtime, or interruptions.
  •  Proactively seek out new knowledge and adapt to new trends, technical solutions, and patterns that improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale, and share knowledge with other engineers.
  • Enjoy working in a fast-paced, design-driven, product development cycle.
  • Navigate ambiguity and clear roadblocks to deliver solutions quickly and iteratively, ensuring they reach users effectively.
  • Embody our culture and values


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.
  •  
 
Preferred 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 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 equivalent experience.
  • 4+ years’ experience building APIs and creating pipelines for large-scale products
  • Experience building and deploying machine learning or large language model (LLM) applications at scale.
  • Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.
  • Experience designing and implementing large-scale embedding, retrieval, and ranking systems.


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

Software Engineering 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.

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Member of Technical Staff – Engineering Manager, Copilot Memory and Personalization Member of Technical Staff – Engineering Manager, Copilot Memory and Personalization

Location
Mountain View, United States
Job Number
200016717-en-1
City
Mountain View
Team
Copilot
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Discipline
Software Engineering
Overview
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.
 
 
Microsoft AI (MAI) is seeking experienced Backend Engineering Manager to help build Copilot memory and personalization — AI that remembers, evolves, and grows with each user. You’ll work in a highly collaborative, fast-paced environment to develop systems that deepen memory with every interaction, personalize experiences to reflect each user’s unique style and goals, and make interactions feel more like working with a trusted partner than using a tool. 
 
 
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.
 
 
By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 3 days a week.
 
 
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.


Responsibilities
  • Build and lead a team of backend and machine learning engineers, including driving project planning, prioritization of work, and designing features.
  • Guides teams and leads identification of dependencies and the development of design documents for a product, application, service, or platform.
  • Make hands-on contributions to the codebase and infrastructure.
  • Guide architecture and design efforts by leading discussions, creating proposals and design documents, and ensuring solutions meet business, security, and compliance requirements.
  • Ship AI powered experiences that will shape how millions of people will interact with AI in the future.
  • Drive implementation of features and systems, breaking down long-term goals into clear milestones, aligning with release plans, and ensuring cross-team coordination.
  • Embody our culture and values


Qualifications
Required Qualifications
  • Bachelor’s degree in computer science, or related technical discipline 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.
  • 3+ years of people manager experience.
 
Preferred Qualifications
  • 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 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 equivalent experience.
  • Proven experience building large-scale distributed systems and optimizing workloads for efficiency and scalability.
  • Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI.
  • Experience building large-scale ranking algorithms and recommender systems.


Software Engineering M5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

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

Software Engineering 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.

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Member of Technical Staff – Multimodal Safety – MAI Super Intelligence Team Member of Technical Staff – Multimodal Safety – MAI Super Intelligence Team

Location
Mountain View, United States
Job Number
200016562-en-1
City
Mountain View
Team
Microsoft Superintelligence
Country
United States
Discipline
Software Engineering
Overview

As a Member of Technical Staff, Multimodal Safety, you will work to develop and implement cutting-edge safety methodologies for post-training multimodal large language models to be served to millions of users through Copilot every day. We work on the bleeding edge and leverage the most powerful pretrained models and algorithms, making it critical that we ensure our AI systems behave safely and align with organizational values. You will be responsible for designing novel safety evaluation frameworks, curating high-quality data for robust evaluations and training, prototyping new safety capabilities, and developing safety-focused fine-tuning algorithms. We’re looking for outstanding individuals with deep expertise in multimodal AI safety who can translate research insights into practical solutions while being a strong communicator and collaborative teammate. The ideal candidate takes the initiative in exploring new safety methodologies and enjoys building world-class, trustworthy AI experiences in a fast-paced applied research environment.  

  

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, 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. 



Responsibilities
  • Leverage expertise in multimodal safety to uncover potential risks and develop novel mitigation strategies, including alignment techniques and robustness improvements for multimodal large language models.  The ideal candidate has experience with diffusion models and image, video, or audio generation.
 
  • Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes.  
 
  • Build automated safety testing systems, generalize safety solutions into repeatable frameworks, and write efficient code for safety pipelines and intervention systems.  
 
  • Maintain a user-oriented perspective by understanding safety needs from user perspectives, validating safety approaches through user research, and serving as a trusted advisor on multimodal safety matters.
 
  • Track advances in multimodal safety research, identify relevant state-of-the-art techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users.  
 
  • Embody our culture and values.


Qualifications
Required Qualifications
  • Bachelor’s Degree in Computer Science, or related technical discipline 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. 
 
 
Preferred 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 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 equivalent experience.  
  • Proven expertise in multimodal LLM safety  with experience in diffusion models and generative image/video/audio.
  • Track record building evaluation frameworks, automated red‑teaming, and reusable guardrail systems for safety at scale.
  • Experience in safety pipelines and user‑validated safety decisions across product teams.


Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 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 $158,400 – $258,000 per year.

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

Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $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.

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Member of Technical Staff, AI Safety Post-Training – MAI Super Intelligence Team Member of Technical Staff, AI Safety Post-Training – MAI Super Intelligence Team

Location
Mountain View, United States
Job Number
200012043-en-1
City
Mountain View
Team
Microsoft Superintelligence
Country
United States
Discipline
Software Engineering
Overview
As a Member of Technical Staff, AI Safety Post-Training, you will work to develop and implement cutting-edge safety methodologies for post-training large language models with agentic and reasoning capabilities that are served to millions of users through Copilot every day. We work on the bleeding edge and leverage the most powerful pretrained models and algorithms, making it critical that we ensure our AI systems behave safely and align with organizational values. You will be responsible for designing novel safety evaluation frameworks, curating high-quality data for robust evaluations and training, prototyping new safety capabilities, and developing safety-focused fine-tuning algorithms. We’re looking for outstanding individuals with deep expertise in AI safety who can translate research insights into practical solutions while being a strong communicator and collaborative teammate. The ideal candidate takes the initiative in exploring new safety methodologies and enjoys building world-class, trustworthy AI experiences in a fast-paced applied research environment. 
 
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, 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.
 


Responsibilities
  • Leverage expertise in AI safety to uncover potential risks and develop novel mitigation strategies, including alignment techniques, constitutional AI approaches, RLHF, and robustness improvements for large language models. 
  • Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes. 
  • Build automated safety testing systems, generalize safety solutions into repeatable frameworks, and write efficient code for safety model pipelines and intervention systems. 
  • Maintain a user-oriented perspective by understanding safety needs from user perspectives, validating safety approaches through user research, and serving as a trusted advisor on AI safety matters.
  • Track advances in AI safety research, identify relevant state-of-the-art techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users. 
  • Embody our culture and values. 


Qualifications
Required Qualifications
  • Bachelor’s Degree in Computer Science, or related technical discipline 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.  
Preferred 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 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 equivalent experience.  
  • Experience prompting and working with large language models.   
  • Experience writing production-quality Python code.  
  • Demonstrated interest in Responsible AI.   


Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 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 $158,400 – $258,000 per year.

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

Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $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.

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Principal, AI Strategy & Operations Program Manager Principal, AI Strategy & Operations Program Manager

Location
Mountain View, United States
Job Number
200009419-en-1
City
Mountain View
Team
Microsoft Superintelligence
Country
United States
Discipline
Business Strategy
Overview

Microsoft AI’s (MAI) mission is to use AI responsibly to make everyone more informed, capable, and supported. MAI is responsible for Microsoft’s consumer propositions including Copilot, Bing, MSN, Microsoft Advertising, and Edge, and also develops proprietary foundational AI models through the MAI Superintelligence Team. MAI works closely with teams across Microsoft and across the full AI stack to deliver on Microsoft’s AI ambitions. 

We are expanding the Business and Strategy team, within the Office of the CEO of MAI, to run decision cadence and operations for MAI’s model development, align cross functional execution, and deliver leadership ready strategic insights. 

The candidate should have a proven track record and strong skills in strategy, business operations, and internal stakeholder management. They should be comfortable running reviews and driving accountability, as well as synthesizing market and competitive intelligence into clear recommendations. They should also be passionate and knowledgeable about AI models and recent breakthroughs and have a strong understanding of the pipeline of training LLMs at a high level. 

As a Principal, AI Strategy and Operations Program Manager, you will serve as a high leverage, important contributor to the broader strategic and operational needs of MAI. This role includes organizing high impact decision forums, coordinating cross functional execution of model development programs, and translating insights into recommendation memos for leadership, while helping to shape MAI’s overarching strategy and align resources and governance across teams. 

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, 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. 



Responsibilities
  • Gather competitive and market intelligence on other AI labs and approaches, synthesize insights into succinct briefs, and translate them into recommendation memos for leadership.
  • Drive decision cadence and governance organizing and facilitating highimpact forums (e.g., model strategy reviews, councils, and executive decision reviews), and ensuring followthrough and accountability, Ensure highquality decision materials by curating prereads, pressuretesting narratives, and managing stakeholder feedback loops so presentations and artifacts are evidencebased, crisp, and boardready.
  • Coordinate crossfunctional execution of key priorities, partnering with teams to remove blockers, escalate risks, and keep initiatives on schedule.
  • Build and steward relationships across internal teams and external partners, representing MAI’s model development priorities in crossMicrosoft forums and helping align strategy, resources, and governance.
  • Embody ourCultureandValues.   


Qualifications

Required Qualifications: 

  • Master’s Degree in Business Administration or related field AND 3+ years consulting, investment banking, and/or program management experience 
    • OR Bachelor’s Degree in Business, Finance, Economics, Liberal Arts, Computer Science, or related field AND 4+ years consulting, investment banking, and/or program management experience
    • OR equivalent experience. 

Preferred Qualifications: 

  • Master’s Degree in Business Administration or related field AND 6+ years consulting, investment banking, and/or program management experience
    • OR Bachelor’s Degree in Business, Finance, Economics, Liberal Arts, Computer Science, or related field AND 8+ years consulting, investment banking, and/or program management experience
    • OR equivalent experience.
  • 5+ year(s) experience working in investment banking or a consultancy firm in the capacity of an Associate, Analyst, Consultant or equivalent, or otherwise as a Program Manager.   
  • 3+ years’ experience in Strategy, Management Consulting, and/or Finance.

 

Business Strategy 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. 



Business Strategy IC4 – The typical base pay range for this role across the U.S. is USD $106,400 – $203,600 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 $137,600 – $222,600 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.

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Applied Scientist II Applied Scientist II

Location
Mountain View, United States
Job Number
200012745-en-2
City
Mountain View
Team
Search
Country
United States
Discipline
Applied Sciences
Overview
We seek an Applied Scientist with expertise in Machine Learning, Generative AI, Agentic Modeling, Data Science, or related areas. The ideal candidate should be passionate about generative modeling, experimental prompt tuning, and large-scale modeling optimization. The candidate should have hands-on experience on working with LLMs, or SLMs such as Qwen, Llama or its variants.  Microsoft AI unites product, engineering, and science teams to advance Bing and Consumer Copilot, aiming to provide the best generative search experience through advanced AI/ML technologies and innovative AI features. 

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
  • Building and owning production machine learning models to improve results.
  • Working hands on with SOTA generative models like Qwen, Llama, Mistral, GPT and others, to deliver big impact.
  • Finding insights and forming hypothesis on large-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, NLP, optimization.
  • Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them
  • Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own. All programming languages are welcome, especially Python, C#, R, C++, Java, and SQL.
  • Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decisions.


Qualifications

Required Qualifications:

  • Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
    • OR equivalent experience.

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

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

Preferred Qualifications:

  • Bachelor’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 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.

#MicrosoftAI #Search#MAI #BING #ML# #NLP#GenAI



Applied Sciences IC3 – The typical base pay range for this role across the U.S. is USD $100,600 – $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 – $215,400 per year.

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


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




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

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Member of Technical Staff – Data Scientist Member of Technical Staff – Data Scientist

Location
Mountain View, United States
Job Number
200018372-en-1
City
Mountain View
Team
Microsoft Superintelligence
Country
United States
Discipline
Software Engineering
Overview

We’re looking for data scientists to help build the next generation of post-training methods for frontier models at Microsoft AI. You’ll join a small, high-impact team working across all stages of post-training, with a focus on evaluation design, high-quality training data, and scalable data pipelines for state-of-the-art foundation models. 

In this role, you’ll help turn raw model capability into reliable, aligned, and measurable performance improvements, directly shaping how frontier models behave in real-world deployments. 

 

About the Role: 

 

Microsoft AI is building the next generation of frontier models that power Copilot and other large-scale AI experiences. The Post-Training team is responsible for transforming powerful pretrained models into robust, aligned, and high-performing systems used by millions of people worldwide. 

Our work focuses on improving general quality, instruction following, coding and math ability, tool use, agentic behaviors, personality, and other critical model capabilities. We operate across the full post-training lifecycle — from data generation and curation, to evaluation and diagnostics, to reward modeling and reinforcement learning. 

We are a small, highly autonomous team that works closely with pre-training, product, and engineering partners to rapidly iterate on ideas, run large-scale experiments, and safely advance model capabilities. Each team member owns meaningful parts of the post-training pipeline and has direct access to the compute, data, and decision-making needed to move quickly from insight to production. 

 

Microsoft Superintelligence Team 


 
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’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models! 



Responsibilities
  • Design evaluations of advanced model capabilities and use them to drive rapid, high-signal iteration loops 

  • Work with vendors to produce high quality evaluation and training data 

  • Build data pipelines to produce high quality evaluation and training data 

  • Build data flywheels to hill-climb on model weaknesses, using data from various surfaces where our models are deployed 

  • Ensure optimal quality, quantity and coverage of data across our post-training stages 

  • Run post-training experiments and ablations to produce models that climb our evals 

  • Embody our culture and values. 

 

We’re Looking For People Who: 

 

  • Have deep experience with LLMs, either training them or applying them in production 

  • Have developed production-scale data pipelines for synthesizing, curating, or processing large quantities of data 

  • Can design, run, and interpret large-scale ML experiments with careful statistical and empirical reasoning. 

  • Possess strong generalist engineering and mathematical skills. 

  • Have clear written and verbal communication, and the ability to collaborate effectively with researchers, engineers and other disciplines. 

  • Bonus skills: Demonstrated SOTA results in any area of large-scale training, inference, or evaluation. 



Qualifications
Required skills
 
Hands‑on experience with large language models, including training or applying them in production (not just prompting)
Designing and running post‑training experiments (evals, ablations, preference tuning / RLHF‑style methods)
Building and owning scalable data pipelines for training and evaluation data
Strong Python skills for ML experimentation, data processing, and analysis
Solid statistical, experimental, and general engineering fundamentals


Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 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 $158,400 – $258,000 per year.

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

Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $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.

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