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Mountain View, United States

Principal Applied Scientist Principal Applied Scientist

Location
Mountain View, United States
Job Number
200012867-en-2
City
Mountain View
Team
Monetization
Country
United States
Discipline
Applied Sciences
Overview

We are seeking a Principal Applied Scientist to lead the next generation of click-through-rate (CTR) for Microsoft Advertising. This is a high-impact role responsible for advancing large-scale ranking models that power Microsoft Advertising, generating billions of impressions and revenue-critical decisions daily.

You will combine deep machine learning expertise, solid engineering execution, and business intuition to modernize our prediction stack, drive model innovation, and mentor a growing team of scientists and engineers.

This role is ideal for someone who thrives in complex, high-scale systems, who brings thought leadership to ML strategy, and who raises the bar for engineering rigor, curiosity, and business-driven decision making across the team.

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

ML / Modeling Leadership

  • Lead the end-to-end development of large-scale CTR and other user response signal models for Search and Display ads.
  • Design, prototype, and ship cutting-edge ML architectures (deep models, multi-task, transformer-based, LLM-assisted, multimodal).
  • Define long-term modeling strategy and roadmap with clear business impact.

Technical & Engineering Execution

  • Modernize our current modeling pipelines, addressing critical technical debt in data flows, training pipelines, and inference systems.
  • Partner closely with engineering teams to improve reliability, monitoring, and performance of distributed training and online serving.
  • Introduce best practices for experiment design, ablations, feature validation, and productionization.

Business & Product Impact

  • Work with PMs, monetization teams, and auction experts to translate business needs into modeling goals.
  • Own model performance holistically: quality, stability, latency, and revenue impact.
  • Develop frameworks to better understand advertiser value, user behavior, and marketplace dynamics.

Leadership & Mentorship

  • Mentor and up-level applied scientists and ML engineers across the organization.
  • Drive a culture of curiosity, deep system understanding, and high-quality scientific reasoning.
  • Improve collaboration norms, documentation quality, and cross-team alignment.

Innovation & Tooling

  • Leverage and influence LLM-based tooling (e.g., agents, copilots) to improve team productivity and model development velocity.
  • Identify opportunities to incorporate new modeling signals, architectures, or evaluation metrics.


Qualifications
Required/minimum 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.

Additional or preferred qualifications

  • Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
  • 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
  • 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
  • 5+ years experience conducting research as part of a research program (in academic or industry settings).
  • 3+ years experience developing and deploying live production systems, as part of a product team.
  • 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.


#MicrosoftAI #LI-JP7 



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

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


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




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

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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
  • Design and implement distributed training systems for machine learning models with trillions of parameters.
  • Develop and deploy streaming training and publishing solutions for large-scale machine learning models.
  • Analyze metrics from offline and online testing to identify opportunities, and deliver robust, scalable solutions.
  • Collaborate with cross-functional teams to ensure high-quality, efficient delivery of solutions.


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.
  • Quick learning and solid problem solving and debugging skills.
  • Good communication skill, fluent in English (both oral and written).

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.
  • Experience with machine learning, LLM or TensorFlow/PyTorch distributed training.
  • Domain knowledge of ads, search or content 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.

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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, Platform Engineers to help build the next wave of capabilities of our personal AI, Copilot. We’re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in backend technologies, and a mastery of templating to architect solutions that stand the test of time and 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 Platform Engineering team is responsible for building APIs that support our work in finetuning and deploying the core experience of Copilot, while collaborating with our Product Management, Design and AI Research 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. 
 
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 secure and performant AI Platform services that power Copilot.

  • Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers 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 Cultureand Values



Qualifications
Required Qualifications
  •  
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
  • Experience working with AI platforms, frameworks, and APIs.
  • 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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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
  • Architect and implement advanced Copilot features such as Deep Research and Web artifact generation

  • Lead evaluation efforts of models deployed within Copilot, ensuring performance aligns with product goals

  • Design scalable systems that leverage large language models (LLMs) to deliver intelligent, user-facing experiences

  • Develop evaluation frameworks and metrics to assess feature performance and user impact

  • Conduct thorough reviews of data analysis and techniques to identify gaps and areas for re-examination

  • Build data collection pipelines to support prompt engineering and fine-tuning of LLMs

  • Track advances in industry and academia, identify relevant state-of-the-art research, and adapt algorithms to drive innovation

  • Train and optimize content classifiers to enable context-aware interactions within Copilot

  • Independently write efficient, readable, and extensible code and model pipelines

  • Contribute to defining the model quality roadmap for Copilot, balancing technical rigor with business and product priorities

  • Collaborate cross-functionally with product, engineering, and research teams to ship high-quality consumer features

  • Commit to a customer-oriented focus by validating customer perspectives, understanding broader context, and serving as a trusted advisor

  • Communicate technical concepts clearly and contribute to team-wide knowledge sharing

  • Take initiative in a fast-paced environment, driving innovation and continuous improvement in AI-powered products



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.
  • Experience prompting, evaluating, and working with large language models.
  • Experience writing production-quality Python code.
 

Preferred 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.
  • Demonstrated interest in Responsible AI.


Research Sciences 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

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

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


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




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

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We’re seeking experienced Platform Infrastructure Engineers who are passionate about AI, are deeply proficient in scaling backend technologies, and possess a mastery of templating to architect solutions that stand the test of time. 
 
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, develop, and maintain performant and secure AI Platform services that power Copilot.

  • Work collaboratively with platform, infrastructure, application engineers, and AI researchers to build next generation AI products and services.

  • Ship high-quality and maintainable code, and ensure the reliability, scalability, and performance of platform components.

  • 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 services and products in languages such as Python, C#, C++, Rust, Java.
    • OR equivalent experience.
  • 4+ 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.
  • 4+ years’ experience in building and releasing production software at the platform level.
  • Solid knowledge of APIs, data flows, systems, and services. 
 

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. 


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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Our Platform Infrastructure team is responsible for building and scaling the backend platform at the core of Microsoft consumer products, the integrations with our AI models and the tools that our engineers use. We collaborate closely with cross-functional engineering, product management, and AI research, empowering all Microsoft Copilot teams to more effectively bring cutting-edge AI research to production. 
 
We’re seeking experienced Platform Infrastructure Engineers who are passionate about AI, are deeply proficient in scaling backend technologies, and possess a mastery of templating to architect solutions that stand the test of time. 
 
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, develop, and maintain performant and secure AI Platform services that power Copilot.

  • Work collaboratively with platform, infrastructure, application engineers, and AI researchers to build next generation AI products and services.

  • Ship high-quality and maintainable code, and ensure the reliability, scalability, and performance of platform components.

  • 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 services and products in languages such as Python, C#, C++, Rust, Java.
    • OR equivalent experience.
  • 4+ 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.
  • 4+ years’ experience in building and releasing production software at the platform level.
  • Solid knowledge of APIs, data flows, systems, and services. 
 

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. 


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 – Product Evaluation Engineer Member of Technical Staff – Product Evaluation Engineer

Location
Mountain View, United States
Job Number
200012110-en-1
City
Mountain View
Team
Copilot
Country
United States
Discipline
Software Engineering
Overview
At Microsoft, we are at the forefront of technological innovation, creating powerful tools and products that transform the way people live and work. We are seeking passionate and talented full-stack Product Engineers with a focus on web front-end development skills to join our Evaluation tooling team. As part of our mission, you will play a critical role in building tools for data collection and model evaluation, contributing directly to the development of cutting-edge AI technologies that define the future. 
 
Our team is small, fast-paced, and collaborative, committed to excellence in every aspect of our work. We value creativity, efficiency, and a user-first approach, ensuring that every decision we make is grounded in real-world evidence. This is an opportunity to work on products with immediate and far-reaching impact, placing you at the core of a rapidly evolving AI landscape. 
 
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
  • Tool Development: Design and implement tools, end to end, using Typescript and Python to streamline data collection and facilitate model evaluation across AI projects.
  • Feature Implementation: Leverage your expertise in JavaScript and its ecosystem, (React JS experience is a must, Next JS experience is a bonus), to develop robust and scalable features for internal tools that enhance the quality and efficiency of data and model evaluation.
  • Collaboration: Work closely with AI researchers, product managers, and engineers to define requirements, scope projects, and deliver high-impact solutions.
  • Data Handling: Build and optimize data pipelines (using Python) for collecting, processing, and analyzing large volumes of data used for training and evaluating AI models.  
  • Culture & Values: Actively contribute to a positive, inclusive, and collaborative team culture, embodying Microsoft’s values of respect, integrity, and accountability in your daily work. 


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 field AND 8+ years technical engineering experience with coding in languages including, but not limited to TypeScript, Python, C, C++, C#, Java
    • 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 TypeScript, Python, C, C++, C#, Java
    • OR equivalent experience.
  • 4+ years of experience in building and deploying web-based tools or applications.
  • 4+ years of experience with Next JS or other modern JavaScript frameworks.
  • 5+ years of experience in software development, with a focus on building tools for data collection and/or model evaluation.
  • Demonstrated understanding of data structures, algorithms, and software design principles.
  • Demonstrated ability to collaborate effectively with cross-functional teams, including product management, AI research, and engineering.
  • Familiarity with data science and machine learning concepts, especially as they relate to model evaluation and data collection.


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 – Product Evaluation Engineer Member of Technical Staff – Product Evaluation Engineer

Location
Redmond, United States
Job Number
200012110-en-2
City
Redmond
Team
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Country
United States
Discipline
Software Engineering
Overview
At Microsoft, we are at the forefront of technological innovation, creating powerful tools and products that transform the way people live and work. We are seeking passionate and talented full-stack Product Engineers with a focus on web front-end development skills to join our Evaluation tooling team. As part of our mission, you will play a critical role in building tools for data collection and model evaluation, contributing directly to the development of cutting-edge AI technologies that define the future. 
 
Our team is small, fast-paced, and collaborative, committed to excellence in every aspect of our work. We value creativity, efficiency, and a user-first approach, ensuring that every decision we make is grounded in real-world evidence. This is an opportunity to work on products with immediate and far-reaching impact, placing you at the core of a rapidly evolving AI landscape. 
 
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
  • Tool Development: Design and implement tools, end to end, using Typescript and Python to streamline data collection and facilitate model evaluation across AI projects.
  • Feature Implementation: Leverage your expertise in JavaScript and its ecosystem, (React JS experience is a must, Next JS experience is a bonus), to develop robust and scalable features for internal tools that enhance the quality and efficiency of data and model evaluation.
  • Collaboration: Work closely with AI researchers, product managers, and engineers to define requirements, scope projects, and deliver high-impact solutions.
  • Data Handling: Build and optimize data pipelines (using Python) for collecting, processing, and analyzing large volumes of data used for training and evaluating AI models.  
  • Culture & Values: Actively contribute to a positive, inclusive, and collaborative team culture, embodying Microsoft’s values of respect, integrity, and accountability in your daily work. 


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 field AND 8+ years technical engineering experience with coding in languages including, but not limited to TypeScript, Python, C, C++, C#, Java
    • 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 TypeScript, Python, C, C++, C#, Java
    • OR equivalent experience.
  • 4+ years of experience in building and deploying web-based tools or applications.
  • 4+ years of experience with Next JS or other modern JavaScript frameworks.
  • 5+ years of experience in software development, with a focus on building tools for data collection and/or model evaluation.
  • Demonstrated understanding of data structures, algorithms, and software design principles.
  • Demonstrated ability to collaborate effectively with cross-functional teams, including product management, AI research, and engineering.
  • Familiarity with data science and machine learning concepts, especially as they relate to model evaluation and data collection.


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 – Senior Software Engineer Member of Technical Staff – Senior Software Engineer

Location
London, United Kingdom
Job Number
200015381-en-1
City
London
Team
MSI Post Training
Country
United Kingdom
Discipline
Software Engineering
Overview

At Microsoft AI (MAI), we are at the forefront of technological innovation, creating powerful tools and products that transform the way people live and work. We are seeking passionate and talented Senior Software Engineers to join our multimodal team. As part of our mission, you will play a key role in crafting user experiences that highlight new applications of state-of-the-art AI models shaping the future.

Our team is small, fast-paced, and collaborative, committed to excellence in every aspect of our work. We value creativity, efficiency, and a user-first approach, ensuring that every decision we make is grounded in real-world evidence. This is an opportunity to work on products with immediate and far-reaching impact, placing you at the core of a rapidly evolving AI landscape.



Responsibilities
  • Product & Platform Engineering: Design and deliver end-to-end consumer AI experiences and internal tools while building secure, scalable platform services that power multiple AI-driven products.
  • Collaboration: Work closely with AI researchers, product managers, and engineers to define requirements, scope projects, and deliver high-impact solutions.
  • Data Handling: Build and optimize data pipelines for collecting, processing, and analyzing large volumes of data used for training and evaluating AI models.
  • Culture & Values: Actively contribute to a positive, inclusive, and collaborative team culture, embodying our Culture and Values.

 



Qualifications

Required Qualifications

  • Bachelor’s degree in computer science OR equivalent technical experience.
  • Experience building scalable products and services on top of public cloud infrastructure like Azure, AWS, or GCP.


Preferred Experience 

  • Experience using Machine Learning frameworks, including experience using, deploying, and scaling multimodal models, either personally or professionally.
  • Experience in software development, with a focus on building end to end AI consumer products.
  • Experience with modern Frontend and/or Backend frameworks
  • 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.
  • 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.

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 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
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Country
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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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