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.

Overview

Microsoft Research New York City (MSR NYC) is seeking applicants for one or more Postdoctoral Researcher (Postdoc) positions in Fairness, Accountability, Transparency, and Ethics in AI (FATE). This two-year position, to begin in July 2026, is an ideal opportunity for an emerging scholar whose work focuses on the social implications of machine learning and AI.

We will begin to review applications on December 15, 2025, and continue to do so until we fill the position. We encourage applicants to submit as close to December 15 as possible for full consideration.

As a Post Doc researcher, you will have the opportunity to pursue your own research agenda while interacting with our group's diverse array of researchers and contributing to ongoing research projects. We collaborate extensively with groups at other MSR locations and across Microsoft.

The FATE group in NYC is interested in research including but not limited to: sociotechnical approaches to AI evaluation/measurement; developing statistical, computational, and visualization methodologies for AI evaluation/measurement; the challenges of responsible AI in industry practice; AI law and policy; AI transparency; human-AI interaction; AI and critical thought; AI and political economy;  AI and sustainability; AI and geopolitics; AI and creative labor; and a wide range of topics that address AI’s social impacts from a diversity of disciplinary perspectives.

Postdoc researchers receive a competitive salary and benefits, and are eligible for relocation benefits. These positions are for up to two years, starting in July 2026, ending no later than June 30th, 2028.

Microsoft Research offers an exhilarating and supportive environment for cutting-edge, multidisciplinary research, with access to an extraordinary diversity of data sources, an open publications policy, and close links to top academic institutions around the world.

Applicants should have evidence of research contributions through conference or journal publications or equivalent work and broader contributions to the research community. Applicants must have fulfilled their PhD degree requirements, including submission of their dissertation, prior to joining MSR NYC. We encourage candidates with tenure-track academic job offers to apply (with the option of doing a one-year rather than two-year postdoc), provided they are able to defer their start date by at least one year to accept our position.

Microsoft Research is committed to cultivating a workplace that reflects the diversity of the global communities we serve. We actively seek to build an inclusive and equitable research environment where individuals of all backgrounds feel valued, supported, and empowered to contribute. We encourage applications from candidates who bring a broad range of experiences and perspectives. Our team works collectively to ensure that Microsoft Research remains a respectful, collaborative, and high-impact space for all researchers.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we are dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.

You can upload documents by going to your profile on the career site and clicking on the Resume Manager tab in the top right of the page, and from there selecting Other Documents.If you are having trouble submitting your application, please go to the bottom of the page and click "Support" and fill out the requested information.

Responsibilities

As a Post Doc Researcher, you define your own research agenda in collaboration with other researchers, driving forward an effective program of basic, fundamental, and applied research. We highly value collaboration and building new ideas with members of the group and others. You may also have the direct opportunity to realize your ideas in products and services used worldwide.    

Qualifications

Required Qualifications:

• PhD in relevant field (e.g., computer science, statistics, information science, decision sciences, sociology, anthropology, science and technology studies, media studies, law, or related fields), to be conferred by July 2026.

Preferred Qualifications:

• Research ability demonstrated by two conference or journal publications or equivalent writing samples, requested as part of the application.
• Research agenda that overlaps with the Microsoft Research NYC FATE team.
• The ability to work in a highly collaborative and interdisciplinary environment.
• Participation and activity in the scientific community.
• Effective communication skills.

Other Requirements:

How to Apply :

To be assured of full consideration, all application materials, including reference letters, need to be received by  December 15, 2025. Applications received after that date may or may not be considered.

To ensure we receive a complete application from you, please be sure to follow these instructions:

• Upload your CV.
• When prompted in your application, please provide the names and contact information for at least 3 reference letter writers (in nearly all cases, one will be from your dissertation advisor).
• Upload (as separate attachments to your application) 2 conference or journal articles or equivalent writing samples that you are most proud of, and which best demonstrate your expertise in topics relevant to FATE.
• Upload (as an attachment to your application) an academic statement (recommended to be no more than 4 pages) that outlines both your research achievements and agenda.
• After you submit your application, the system will send a request for letters to your list of references on your behalf. Note: The application system will not request reference letters until after you have submitted your application. You may wish to alert your letter writers in advance so that they will be ready to submit your letter by our application deadline of December 15, 2025. While you will not be able to view the letters themselves, you can check the status of individual reference requests within your application.

You can upload documents by going to your profile on the career site and clicking on the Resume Manager tab in the top right of the page, and from there selecting Other Documents.If you are having trouble submitting your application, please go to the bottom of the page and click "Support" and fill out the requested information.

Research 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.

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.

Overview

Health Futures is a Research and Incubation team working at the intersection of computer science, signal processing, machine learning, and biomedicine. We are a global and diverse team of engineers, scientists, and medical doctors who are working on next-generation Artificial Intelligence (AI) tools and methods for health and life sciences. We offer a unique and vibrant environment that features innovative academic research, enterprise software development, and real-world delivery, with close feedback loops and rapid iterations among all three, much like a lean startup. Our mission is to empower every person on the planet to live a healthier future.

We are seeking a Principal Machine Learning Engineer to accelerate our training of generative models in close collaboration with Maching Learning (ML) researchers, software engineers, and domain experts. This is a hands-on technical role focused on advancing state-of-the-art model capabilities across a variety of scientific domains and modalities. You’ll spend your time working across the stack from curriculum design, to debugging training runs, through developing new evaluation methods and high-performance inferencing – with a goal of improving all phases of our training process.

As part of Health Futures, you’ll have the opportunity to tackle everything from model training to data and evaluation pipelines. Your work will span the full spectrum of model development – training and optimizing models on the latest hardware, devising new ways to assess their capabilities, and evolving data and training workflows to maximize model utility. Beyond model training, you’ll participate in explorations of how these models can and should be used in the real world – and the systems required to successfully operate them.

At Microsoft, our mission—to empower every person and every organization on the planet to achieve more—guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress—people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone.

Responsibilities

• Lead the design and development of machine learning models and systems for health and life sciences applications, ensuring scalability and reliability.
• Define technical strategy and architecture for ML pipelines, including data ingestion, feature engineering, model training, evaluation, and deployment.
• Collaborate with interdisciplinary teams (including scientists, researchers, and software engineers) to envision and develop AI-augmented scientific systems.
• Mentor engineers and researchers, promoting best practices in ML development, experimentation, and responsible AI principles.
• Ensure security, privacy, and regulatory compliance across ML workflows and data handling.

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#, Java, JavaScript, or Python
• OR equivalent experience.

Preferred Qualifications

• Masters in Computer Science or related technical field AND 6+ years technical engineering experience including significant work in machine learning or applied AI
• OR equivalent experience.
• Proven track record of designing and deploying large-scale ML or MLops systems in research or product settings.
• Hands-on experience with large-scale distributed training of ML models.
• Deep expertise in ML algorithms, model optimization, and frameworks (e.g., PyTorch, TensorFlow).
• Experience with one or more of: optimizing data mixes, mid-training, post-training, model merging, or model distillation.
• Familiarity with security and compliance standards for enterprise and health data.
• Demonstrated ability to communicate effectively and solve problems in collaborative, research-driven environment.

Research #healthfutures #researchsystems

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.

Overview

As a Software Engineer II in the Calendar team, you will design and build AI-powered scheduling systems by integrating backend services and Large Language Models (LLMs) with Application Programming Interfaces (APIs) and Outlook services. You will deliver modern Microsoft Calendar experiences across Monarch and Microsoft Teams, enabling intelligent coordination through Copilot and Places.

Join Microsoft’s Time + Places organization, where we reimagine when, where, and how work happens. Our mission is to leverage cutting-edge Artificial Intelligence (AI) to reduce cognitive load and deliver agent-driven solutions that empower individuals and organizations in the hybrid work era.

This role offers opportunities to work on AI-powered scheduling, asynchronous collaboration, and location-aware coordination. You will be part of a team that values craftsmanship, reliability, and user impact—building services that help people reclaim time, connect meaningfully, and achieve more together.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. We embrace a growth mindset, innovate to empower others, and collaborate to realize shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive.

Responsibilities

• Design and build scalable backend services that power artificial intelligence (AI)–driven scheduling agents supporting millions of daily users.
• Integrate large language models (LLMs) and machine learning (ML) models to deliver intelligent, context‑aware scheduling and coordination experiences.
• Stay current with emerging technologies and AI advancements to enable transformative Copilot experiences for calendar planning and hybrid work scenarios.
• Leverage Microsoft 365 (M365) Graph data, including personal and organizational time and location information, to power Copilot and agent‑based assistance.
• Collaborate with product managers, designers, and partner teams to define user requirements and deliver intelligent scheduling solutions; participate in design reviews, code reviews, and agile planning processes.
• Drive architectural decisions and engineering excellence to ensure reliability, performance, and security in alignment with Microsoft’s Secure Future Initiative (SFI).
• Design and implement backend services for Microsoft Calendar experiences across Monarch and Microsoft Teams, integrating deeply with substrate application programming interfaces (APIs), Copilot, and Places.
• Contribute to planning and execution by identifying dependencies, creating design documents, breaking down larger work items into smaller tasks, and providing accurate estimations with minimal oversight.
• Act as a Designated Responsible Individual (DRI) to monitor systems, features, and services for degradation, downtime, or interruptions and lead restoration efforts for simple problems.
• Champion Microsoft culture and values in all aspects of design, collaboration, and delivery.
• Embody our Culture and Values

Qualifications

Required 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, Python or Azure.
• ORequivalent 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:

• Master’s degree in Computer Science or related field AND 3+ years engineering experience, OR bachelor’s degree and 5+ years’ experience, OR equivalent experience, with coding proficiency in languages such as C, C++, C#, Java, JavaScript, Python, or Azure.
• Experience building cloud-native applications and services.
• Problem solving decomposition and presenting efficient solutions through scalable systems design and understanding of distributed systems, APIs, and telemetry.
• User experience, product craftsmanship, and solving real-world problems.
• 5+ years of experience in software development using C#, .NET, TypeScript, or similar technologies.
• Experience using software development agents / assistants to co-develop.
• Experience with Microsoft Graph, M365 services, or workplace productivity tools.
• Familiarity with AI/ML concepts, especially in the context of Copilot or agent-based systems.
• Exposure to hybrid work scenarios, calendar systems, or workplace coordination platforms.

Software Engineering 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.

Overview
OneDrive and SharePoint are rapidly growing services at the center of Microsoft's cloud, interacting with almost every part of Microsoft. You will be a part of a team that is fundamentally changing the way that millions of people use their devices and interact with the most important content for their home, work, and school.   We are looking for smart, agile, and curious engineers who love creating and building things that delight and protect our customers. You will be working with a team of amazing engineers, PMs, and designers, and work closely with other teams across Microsoft to deliver large scale, distributed architectures, and features to meet OneDrive and SharePoint's core service needs.   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.

Responsibilities
- You will work in large-scale distributed systems that are critical for customers around the world.   - You will design and deliver services that manage internet-scale data stores, enable best-in-the-world file and site browsing and editing performance, or add innovative features to how people manage and interact with their data and telemetry. - Given the scope of OneDrive and SharePoint, we have positions that range from the very front end of how a customer interacts with our services, through core system logic, to mega-scale storage, to background infrastructure to support our services and the engineers that build and maintain them. - Everything you do will be supported by a world-class engineering team. - As an Software Engineer II in our team, you will contribute to and help shape the vibrant, inclusive engineering culture of OneDrive & SharePoint.  - You will be expected to do deep, data-driven, collaborative design for additions and changes to our products.   - You will write clean, efficient code and comprehensive tests.   - You will build excellent coverage with metrics and telemetry to ensure we understand exactly what is happening with our services at all times.   - And you will deliver features that will support and serve hundreds of millions of customers around the world.

Qualifications

Required 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.

• Experience collaborating with peers and partner teams to meet joint engineering goals

• Solid coding, debugging, algorithm design, and problem-solving skills.

• Experience with cloud-scale services and server/service management features.

• Able to learn new systems quickly and adapt new methodologies to our services. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.

These requirements include but are not limited to the following specialized security screenings: - Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master'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- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

• Experience with building cloud-scale infrastructure components.

• Awareness, passion, and experience related to cloud scale distributed design and patterns.

• Familiarity with secure software design concepts.

• Proven track record of delivering projects that include multiple components.

• Ability and eagerness to work across and partner with multiple engineering teams to achieve business goals.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.   Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.   #ODSPEng

Software Engineering 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.

Overview

We are building large-scale, Azure-based intelligence platform that transforms complex data into high-quality and rich actionable insights to Microsoft Advertising stakeholders. The system integrates advanced machine learning models with emerging agentic capabilities powered by large language models (LLMs) to model recommendations, automate analysis, generate contextual summaries, and streamline workflows across organizational tools. As a Senior Applied Scientist, you will lead the development of these Machine Learning solutions leveraging SOTA technologies in GenAI to build predictive models for generating recommendations, detecting anomalies, generating automated insights with reasoning and ensuring the platform delivers accurate, actionable intelligence at scale.

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

• Lead the design and implementation of machine learning models for recommendations, anomaly detection, and actionable insights.
• Drive experimentation and validation of models. Mentor less experienced scientists and contribute to model governance and Responsible AI practices.
• Partner with engineering and BI teams to operationalize insights into dashboards and alerting systems.
• Advance feature adoption scoring and health check analytics through data-driven approaches.
• Engineer optimal prompts for various LLM calls, using chain-of-thought and other advanced techniques.
• Fine-tune SLMs to efficiently scale the solution to millions of advertisers.
• Generate account planning guidance, tailored talking points, pitch assets, follow ups using agentic orchestration.

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.

Preferred Qualifications:

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
• OR equivalent experience.
• 3+ years of hands-on experience developing machine learning or statistical models to solve real-world problems (in industry or academic projects), including building and validating algorithms such as regressions, classifiers, or clustering models.
• Proficiency in programming for data science (e.g. using Python or R for data analysis and modeling) and experience with data querying languages (e.g. SQL).
• Big Data & Distributed Computing: Hands-on experience with large-scale data processing using tools like Apache Spark or Azure Databricks for training and inference workflows.
• Advanced Analytics: Skilled in time-series analysis and anomaly detection techniques (e.g., ARIMA, isolation forests) applied to business contexts for actionable insights.
• LLMs & Domain Adaptation: Practical experience with prompt engineering, fine-tuning GPT-like models, and applying LLMs in domain-heavy areas (healthcare, agriculture, social sciences) while ensuring privacy and Responsible AI compliance.

MicrosoftAI

Applied 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

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

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

Overview

Microsoft is a company where innovators come to collaborate. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world. The Business and Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered.

This is an exciting time to join our group and work on something highly strategic to Microsoft. Microsoft Dataverse and the Power Platform Managed Platform provide secure, scalable, and cost-efficient foundations for building AI-powered, governed, and compliant applications at global scale. This team builds platform capabilities and microservices that deliver global scale, security, governance, and managed runtime for customers across Power Platform. You will be part of a team of engineers who thrive on solving complex problems at scale with impeccable quality.

We are looking for a Data Scientist II to join the Managed Platform team, which provides the foundation for global scale, security, governance, and compliance across Power Platform and Dataverse. In this role, you will apply data science techniques to improve platform reliability, optimize performance, and enable AI-driven insights that shape the future of enterprise applications.

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.

Responsibilities

• Build and deploy machine learning models and statistical analyses to improve platform performance, reliability, and cost efficiency.
• Partner with engineering teams to integrate predictive insights into distributed systems and services.
• Design and analyze experiments (e.g., A/B tests) to validate hypotheses and measure impact on customer experience and platform health.
• Develop dashboards and metrics to monitor model performance and service health.
• Communicate findings and recommendations to technical and business stakeholders through clear, actionable insights.
• Collaborate with cross-functional teams to ensure data quality and effective use of analytics in decision-making.

Qualifications

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
• OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR equivalent experience.
• 2+ years of experience in data science, analytics, or related areas.
• 2+ years of experience in applied machine learning, statistical modeling, and experimentation.

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:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR equivalent experience.
• Proficiency in Python for data analysis and model development.
• Experience with SQL and working with large datasets.

Additional Details  

BICJobs

Data Science 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.

Overview

Are you looking for an opportunity to build software and systems for some of the biggest data centers that exist in the world? The Azure Networking team is responsible for designing and building the software defined network infrastructure that powers millions of servers around the globe for Azure, Bing and other Microsoft cloud services. Azure Networking is at the forefront of Hyperscale Cloud Computing and runs one of the largest datacenter network infrastructures in the world. With the explosion of artificial intelligence (AI), Microsoft has been at the forefront of developing and adopting AI technologies. Meeting the next waves of AI technologies requires new generations of network, and the Azure Networking team is tasked to design and build the next generation of AI networks.

Azure Networking team is looking for world-class Software Engineers to help us in building the highest quality software to manage global scale AI networks.

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.

Responsibilities

• Collaborates with appropriate stakeholders to determine user requirements for a scenario.
• Drives identification of dependencies and the development of design documents for a product, application, service, or platform.
• Creates, implements, optimizes, debugs, refactors, and reuses code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).
• Leverages subject-matter expertise of product features and partners with appropriate stakeholders (e.g., project managers) to drive a workgroup's project plans, release plans, and work items.
• Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate.
• Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

Qualifications

Required/Minimum Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• 3+ years of experience with requirement analysis, feature design or test plan writing.
• 3+ years of experience with designing and implementing large-scale distributed systems

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.

Additional or 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.
• 1+ years experience with agile methodology.
• Knowledge with the networking areas: Ethernet, Vritual Local Area Networks (VLANs), Internet Protocol (IP) Routing, Transmission Control Protocol/Internet Protocol (TCP/IP), Border Gateway Protocol (BGP), Quality of Service (QoS), L2-L3 protocols, QOS, network congestion management, network management.

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

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

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

Overview

Microsoft Research seeks a Senior Researcher specializing in one or more areas of Artificial Intelligence (AI) infrastructure, Machine Learning (ML) systems, and high-performance computing (HPC) systems. The position involves working collaboratively to advance state-of-the art in AI Systems and improving the efficiency and scalability of production systems across the full AI model lifecycle: pre-training, supervised fine-tuning, reinforcement-learning-based post-training, and inference.

At Microsoft, our mission—to empower every person and every organization on the planet to achieve more—guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress—people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone.

MSRR

Responsibilities

• Drive high-impact research in AI infrastructure, ML systems, HPC systems, with a focus on building large production-scale systems.

• Collaborate to develop and test out new ideas within existing or new collaborative teams.

• Build and maintain state of the art systems in this space.

• Collaborate in preparing technical papers and presentations.

Qualifications

Required Qualifications

• Doctorate (or are currently pursuing)  in ML systems, high-performance computing, or relevant fields AND 3+ years related research experience

Preferred Qualifications

• 3 years of experience building large scale AI infrastructure, ML systems, and/or HPC systems.

• Active participation in engineering efforts in the above areas, with involvement in building and maintaining systems.

• Active participation in research as demonstrated by publications.

• Demonstrable ability to work in a multi-disciplinary team.

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

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.