Member of Technical Staff – Software Engineer (SuperIntelligence team)
Member of Technical Staff – Software Engineer (SuperIntelligence team)
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Help build the infrastructure that powers training, evaluation, and data platforms for reliable deployment of world-class foundational AI models. We are on a mission to create state-of-the-art AI models and deploy them across Microsoft products at an unprecedented scale.
You’ll collaborate across engineering and research to design, evolve, and operate core research infrastructure, so that product teams can train faster, evaluate more rigorously, and ship with confidence. You’ll work closely with the teams that transform pre-trained models into the consumer Copilot experience.
Microsoft’s mission is to empower every person and every organization to achieve more, and we build on values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive.
Microsoft Superintelligence Team
This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.
We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!
Responsibilities
- Design and build core platform services for scalable training and evaluation, including cluster orchestration, job scheduling, data and compute pipelines, and artifact management.
- Standardize containerized workflows by maintaining Docker images, CI/CD, and runtime configurations; advocate for best practices in security, reproducibility, and cost efficiency.
- Implement end-to-end observability and operations through metrics, tracing, logging, dashboard development, monitoring, and automated alerts for model training and platform health (using Prometheus, Grafana, OpenTelemetry).
- Architect and operate services on Azure cloud platforms, managing infrastructure-as-code (Terraform/Helm), secrets, networking, and storage.
- Enhance developer experience by creating tools, CLIs, and portals that simplify job submission, metrics analysis, and experiment management for generalist software engineering and research teams.
- Enforce security and compliance policies for data access, container hardening, and supply-chain integrity, and partner with security and privacy teams to maintain robust practices in multi-tenant environments and secret management.
- Collaborate cross-functionally with data, model, and product teams to align infrastructure roadmaps with training needs, evaluation protocols, and Copilot product goals.
Qualifications
Required qualifications
- Strong software engineering fundamentals building large‑scale, production systems
- Hands‑on ownership of production infrastructure (not just usage)
- Python used as a primary language in production systems
- Kubernetes + containers: deploying, operating, and supporting production workloads
- Experience building or operating platform services (job orchestration, data/compute pipelines, shared infra)
- Production operations ownership: monitoring, logging, alerting, and incident response
- Experience on cloud platforms (Azure preferred; AWS/GCP acceptable)
- Comfortable with distributed systems, networking, and storage
Desired qualifications
- Built or owned ML / AI platform infrastructure (training, evaluation, experiment pipelines)
- Experience with GPU clusters, HPC, or large batch compute systems
- Infrastructure‑as‑code experience (Terraform, Helm)
- Observability tooling (Prometheus, Grafana, OpenTelemetry)
- Internal developer tooling experience (CLIs, portals, job submission tools)
- Data pipeline orchestration (Airflow, Argo, streaming systems)
- Container security, CI/CD, and reproducible deployments
- Experience supporting AI research or model development teams
Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Senior Software Engineer
Senior Software Engineer
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Are you an established Software Engineer looking for a challenge and ready to tackle strategic cross-organization investments that span Microsoft AI, Office, and Windows to create web experiences for over 1B users and drive daily habit with users? Join us to innovate and create impactful web experiences that shape the daily habits of millions.
We are looking for a highly skilled Front end focused Senior Software Engineer (full-stack) to join our Experience team, who will provide technical leadership to key projects, and collaborate with frontend and backend teams to maintain and deliver key features that will be used across multiple sites. You will develop strategy aligning with stakeholders and execute plans to successfully deliver on commitments. The ideal candidate will be an experienced full stack engineer with knowledge of modern front end web frameworks like web components, cloud-based architecture and services, caching, load-balancing, A/B experimentation. Your responsibilities will include designing, coding and operationalizing experience and services at hyper scale.
MSN is a personalized content feed powering user experiences across Microsoft. Our mission is to empower every person on the planet to be informed, entertained, and inspired. With nearly 30 years of history, MSN has evolved into a premier content destination with high-quality content, AI-powered user-controlled personalization, and massive global reach. Over the past 4 years, AI and Machine Learning technologies have fueled massive growth, transforming MSN’s content moderation, personalization, and content entry points. Learn more about us here.
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, implement, and maintain responsive, accessible, and visually polished user interfaces and full-stack application features.
Build and support front-end applications using TypeScript with frameworks such as React, NextJS, Web Components (or similar), and integrate them with robust back-end services.
Develop scalable REST APIs and data access layers, ensuring efficient, secure, and reliable data flow between client and server.
Create reusable components, shared modules, and service abstractions, ensuring code quality through best practices, testing, and documentation.
Collaborate with UX designers, backend engineers, and product teams to translate requirements, wireframes, and prototypes into functional, production-ready solutions.
Optimize applications for performance, scalability, and cross-browser/cross-platform compatibility across the entire stack.
Participate in code reviews, architectural discussions, and continuous improvement of development workflows and engineering standards.
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, C, C++, C#, Java, JavaScript, or Python 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, C, C++, C#, Java, JavaScript, or Python
OR Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
Proficiency in TypeScript, with a solid understanding of full-stack development fundamentals.
Hands-on experience building production applications using React, Web Components or similar front-end frameworks.
Solid understanding of responsive design, web accessibility standards, and UI performance optimization.
Hands-on experience building production applications using React or similar front-end frameworks.
Solid understanding of responsive design, web accessibility standards, and UI performance optimization.
Experience with state management libraries and patterns (e.g., Redux, NgRx, Zustand).
Knowledge of UI/UX best practices, component libraries, and design systems.
Experience with testing frameworks and tools (e.g., Jest, Mocha, Cypress).
Exposure to cloud platforms (Azure) and CI/CD pipelines, and understanding of application deployment processes.
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.
#MicrosoftAI
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.
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Senior Software Engineer – Auction Logic – Monetize Platform
We built a platform to provide an open, transparent marketplace and powerful enterprise technology enabling marketers to connect and engage consumers on thousands of high-quality websites and apps.
The Monetize Platform is an advanced buy-side and sell-side advertising technology platform that enables buyers and sellers to access and trade premium inventory in a transparent and streamlined environment.
Microsoft is hiring an experienced Senior Software Engineer to join the Auction Logic team, specifically focused on build, test, deploy, and monitoring.
As a Senior Software Engineer, you will
- Lead the cross-team engineering efforts to build business critical products for publishers and buyers on the Monetize platform.
- You will collaborate with a team of smart, passionate engineers.
- You will own significant areas of the Monetize real-time platforms and function as the architect.
- You will participate in setting the roadmap and direction for your areas of responsibility.
About the team:
The mission of the Auction Logic team is to create the digital marketplace with a purpose of accurately connecting advertisers (buyers) and publishers (sellers) in the most effective and efficient way possible. The team is responsible for building and operating a set of core components of Monetize real-time platform, specifically the distributed set of servers that runs an auction for every ad impression, delivers the ad content, and performs all the necessary accounting. The Monetize real-time platform is a large-scale distributed platform operating under strict real-time constraints, responding to and executing real-time, dynamic auctions in less than 100 milliseconds. In the past few years, we’ve grown from processing 300k QPS to over 5 million QPS for an approximate total of 100 billion requests per day. These events generate more than 150 TB of new data every day. Engineers work on the real-time components to optimize our software for performance, space, and algorithmic efficiency. The application that processes all those requests, impression bus, is among the responsibilities of the Auction Logic team. You will provide solutions to help connect advertisers and publishers in the digital marketplace as well as resolve complex technical issues that arise because of the immense scale of our platform.
About the job:
As a technical leader you’ll design and implement solutions that span multiple applications on the real time platform, are high quality, require hard real time constraints, are easy to operate and maintain, and make the lives of product engineers easier. You will own or influence significant parts of the platform and allied areas. You will work closely with other engineers and our product teams, to not only make these systems go faster and handle more and more data, but also to build revolutionary new products for our clients. responsibilities will include:
- Designing and implementing scalable solutions including new features and enhancements of our Platform.
- Participating in and helping lead planning sessions with Product Management and Engineering team leads to constructing feature requirements and specifications.
- Produce prototype features quickly and participate in gathering feedback from clients.
- Bring innovation to the team in new features, improving build processes and product development lifecycle.
- Participate in code reviews and provide feedback to increase code efficiency, maintainability and robustness.
- Support and debug production level issues and provide fixes in an expedient manner.
More about you:
- You are focused on building high-quality, intuitive products.
- You are passionate about learning and teaching.
- You love challenging yourself to constantly improve and sharing your knowledge to empower others.
- You view processes as a means and not an end, preferring lean or automated approaches to ensure quality and productivity.
- You are not satisfied with the status quo and are always looking to improve how things are done and what is built
Responsibilities
- Works with appropriate stakeholders to determine user requirements for a set of features.
- Contributes to the identification of dependencies, and the development of design documents for a product area with little oversight.
- Creates and implements code for a product, service, or feature, reusing code as applicable.
- Contributes to efforts to break down larger work items into smaller work items and provides estimation.
- Acts as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems.
- Remains current in skills by investing time and effort into staying abreast of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.
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, C, C++, C#, Java, JavaScript, or Python 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, C, C++, C#, Java, JavaScript, or Python
- OR Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- 5+ years of experience as a professional software developer.
- Experience building high performance, multi-threaded, distributed systems and applications, preferably in a Linux environment.
- Experience practicing advanced optimization techniques.
- Solid fundamental understanding of generalized architecture patterns and service-oriented architecture (SOA).
- Excellent Computer Science fundamentals with regards to data structures, algorithms, time complexity, etc.
- Excellent and creative problem-solving abilities. We will consider extensive experience with other languages as well, e.g., Rust, Go, etc.
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.
#MicrosoftAI
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.
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Principal Product Manager, Agentic Experiences
Principal Product Manager, Agentic Experiences
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Responsibilities
- Identify user workflows where AI adds clear value, basing decisions on data and user feedback.
- Turn model capabilities into specific product features, define MVPs, and refine them using user and business metrics.
- Work directly with research, engineering, and design to turn AI research into practical products that scale and serve users well.
- Create and use evaluation methods to track product quality, user experience, and safety throughout development.
- Set up data processes for sourcing, labeling, and using data to boost model and product performance.
- Work with infrastructure and platform teams to balance capability, speed, cost, and reliability for scalable products.
- Write clear documents to keep stakeholders aligned on product goals, priorities, and decisions.
- Promote adoption by showing how technical features translate into user benefits and growth.
- Make informed decisions in uncertain situations, manage risks and incidents, and support continuous improvement through postmortem review
Qualifications
- Bachelor’s Degree AND 8+ years’ experience in product management or software development OR equivalent experience.
- 5+ years of experience launching 0-to-1 products (from concept to market) in a consumer-facing product environment.
- 3+ years of experience building products that leverage AI/ML technologies.
- Experience managing and shipping 0-to-1 agentic products in an AI lab or an AI-focused startup.
- Proven track record of collaborating with cross-functional teams (engineering, design, research) to deliver user-facing features.
- Familiarity with experimentation tools, data analytics, and working knowledge of SQL or coding (Python, JavaScript).
- Effective collaboration and communication skills with a bias for action and inclusion.
Product Management IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Principal Product Manager, AI Multimodal Growth
Principal Product Manager, AI Multimodal Growth
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Help build the engine that brings MAIs models to billions of users worldwide.
At Microsoft AI, we are on a mission to train the world’s most capable AI frontier models, pushing the boundaries of scale, performance and product deployment. We’re tackling some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world, forming the foundation of many initiatives across Microsoft AI.
As a Product Manager, AI Multimodal, you will work at the nexus of research and growth. Your products are the deployments, launches, and user experiences that drive model usage and revenue growth. You will be responsible for balancing user needs with business priorities, ensuring that our growth loops are high-performing, data-driven, and scalable. You will also be responsible for prioritising new deployments and growth initiatives, working closely with engineering, design, data science, and marketing to build and execute project plans. In particular, we are looking for candidates who:
Deeply understand the full model launch and growth lifecycle
Have experience working side-by-side with engineers, designers, and data scientists to ship growth experiments at pace
Thrive in a fast-paced, innovative environment
Are passionate about managing high-stakes, time-sensitive product launches and growth campaigns
Take the initiative and enjoy finding paths through complexity in a fast-paced environment
Are comfortable owning projects that span teams and functions, can coordinate different workstreams, and drive to relentlessly unblock progress
Demonstrate a proactive attitude and enthusiasm for exploring new channels, models, and technologies
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
Identifying and prioritising model growth opportunities across multiple deployments— and working cross-functionally to drive them to resolution
Evaluating, defining and driving new product deployment opportunities for MAI models
Defining and owning growth KPIs, building dashboards, and using data to inform product decisions and roadmap prioritisation
Working closely with engineering, researchers and product owners to find and drive growth opportunities
Creating and executing go-to-market strategies for new features and product launches in close partnership with marketing
Foster a culture of experimentation, continuous improvement, and growth
Qualifications
Required/Minimum Qualifications
- Bachelor’s Degree AND 8+ year’s experience in product management or software development OR equivalent experience.
- Experience managing cross-functional and/or cross-team projects.
- Proven track record as a product manager with firsthand experience evaluating and deploying LLMs into production.
- Experience working side-by-side with Researchers and/or Engineers
#MicrosoftAI
Product Management 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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Responsibilities
Qualifications
Required Qualifications:
Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.
Additional or preferred qualifications
Data Engineering IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Our team is at the forefront of transforming digital advertising through intelligent automation and large-scale optimization. We design and build the auto-bidding platform that powers real-time ad auctions across Microsoft’s marketplaces—leveraging cutting-edge AI, machine learning, and large-scale distributed systems to bid on behalf of millions of advertisers.
Our systems process billions of auction events daily, optimizing bids in milliseconds to maximize performance and return on ad spend. Engineers and scientists work hand-in-hand, blending algorithmic innovation, reinforcement learning, and large-scale data pipelines to create the intelligence that drives Microsoft Advertising’s success.
We’re looking for a Principal Software Engineer who thrives at the intersection of AI systems, real-time decision-making, and scalable cloud infrastructure. You’ll help shape the next generation of our agentic auto-bidding platform — one that learns, adapts, and optimizes autonomously. Your work will directly influence advertiser ROI and drive billions of dollars in revenue across Bing, MSN, and the Microsoft ecosystem.
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
- Collaborate with data scientists, ML engineers, and product teams to define requirements for agentic AI-driven bidding capabilities that observe, reason, and adapt autonomously.
- Architect and implement the next-generation agentic bidding platform, enabling AI agents to monitor marketplace signals, interpret advertiser and user behavior, and continuously optimize bidding strategies.
- Build large-scale data validation and quality frameworks to ensure correctness, consistency, and reliability across all auction-critical signals feeding the AI agents.
- Act as a Designated Responsible Individual (DRI): drive operational excellence, incident management, on-call readiness, and high-availability practices for mission-critical bidding services.
- Develop experimentation and simulation frameworks to validate agent behavior and optimize policies before deployment in live auctions.
- Proactively adopt new patterns, technologies, and engineering practices to improve availability, efficiency, performance, and scalability across the bidding stack.
- Mentor engineers, and foster a culture of high-quality execution, innovation, and accountability.
- Explore and invest in emerging AI techniques — multi-agent systems, adaptive optimization—to enhance the autonomy, intelligence, and impact of the bidding platform.
Qualifications
Required Qualifications:
- Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
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 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- 5+ years of experience developing and deploying large-scale distributed systems in production environments.
- 5+ years of hands-on experience in machine learning operations (MLOps), including pipeline automation, monitoring, and lifecycle management
- 3+ years of hands-on experience with large-scale streaming platforms such as Apache Spark or Flink
- Experience building real world applications using AI techniques.
#MicrosoftAI
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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- Discipline
Join the Signals Modeling team, part of Microsoft AI Ads Engineering, to shape the future of advanced AI at web scale.
In this role, the Senior Applied Scientist will design and implement state-of-the-art machine learning models and algorithms that power key systems within Microsoft Ads, Copilot, and beyond. The work will directly impact millions of users and advertisers by delivering scalable solutions that enhance ad relevance and optimize user and advertiser experiences. Responsibilities span the full modeling lifecycle, including training data and labeling strategy, feature and signal design, model development, and rigorous offline and online evaluation. Engineers and applied scientists work closely at the intersection of machine learning, economics, and large-scale systems to deliver high-performance real-time inference and robust experimentation in production.
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
- Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot.
- Design scalable algorithms for online and offline systems, delivering innovative solutions for ads selection, ad generation and ad relevance.
- Drive experimentation through A/B testing and offline validation to evaluate model performance and refine user behavior predictions.
- Build robust data pipelines and frameworks for handling large-scale, high-dimensional datasets to support advanced AI applications.
- Stay at the forefront of AI research, incorporating the latest advancements to drive innovation and impact across Microsoft platforms.
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.
- Proven experience in programming and data analysis skills.
- Proven expertise in the areas of Generative AI, deep learning, Reinforcement learning, transformers or LLM.
- 5+ years of experience in developing and deploying large-scale machine learning models.
#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.
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Member of Technical Staff – Pretraining Text Data
Member of Technical Staff – Pretraining Text Data
- Location
- Job Number
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We are seeking engineers and researchers to join our Pretraining Text Data team, where we are building the next generation of foundation large language models. If you are passionate about designing and curating high-quality datasets to power frontier AI models, this role is for you.
In this role, you’ll work at the intersection of data and innovation—collaborating with scientists, engineers, and annotators to curate, analyze, and evaluate diverse text datasets critical to model development. You will lead efforts to:
Develop novel data collection strategies
Improve dataset quality and integrity
Understand data-driven model behaviors
Train models to understand the impact of data and data mixes
Align datasets with ethical and societal values
This is a cross-disciplinary, high-impact role ideal for engineers and researchers who want to push the boundaries of what AI can learn from data.
Microsoft Superintelligence Team
Microsoft Superintelligence team’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.
This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.
We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!
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
- Create high-quality datasets for training and evaluation; run experiments on new datasets (data ablations) to assess their impact and determine the most effective data.
- Develop and maintain scalable data pipelines for text data ingestion, preprocessing, filtering, and annotation.
- Analyze real-world text datasets to assess quality, diversity, relevance, and identify areas for improvement.
- Build lightweight tools and workflows for dataset auditing, visualization, and versioning.
- Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices.
- Embody our culture and values.
Qualifications
Required Qualifications:
- Bachelor’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
- OR equivalent experience.
Preferred Qualifications:
- Master’s Degree in in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 8+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
- OR Bachelor’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 12+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
- OR equivalent experience.
- 2+ years of experience in data analysis or data engineering, including work with large-scale datasets that are unstructured or semi-structured.
- Proficiency in statistics and exploratory data analysis methods.
- Familiarity with data processing frameworks such as Spark, Ray, or Apache Beam.
- Ability to communicate technical findings clearly to research and product teams.
Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Senior Software Engineer
Senior Software Engineer
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The Edge browser is a core strategic product and key entry point to Microsoft’s new AI ecosystem, serving hundreds of millions of users daily. As the hypercompetitive AI browser ecosystem evolves, the Edge team is focused on continuing to lead.
The Edge Web Platform team is looking for an exceptional Senior Software Engineer to join our Rendering team to help deliver high quality, interoperable web experiences by shaping how modern web content is rendered, animated, and interacted with across platforms. This role is ideal for engineers who enjoy deep systems and performance work, thrive in complex codebases, and want to shape how modern web content is rendered and interacted with by billions of users.
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
- Develop and improve web platform features in Chromium rendering pipeline to bridge the gap between native applications and the web.
- Collaborate and communicate effectively with engineers and program managers on open-source projects.
- Partner with standards and upstream communities (W3C, Chromium) to shape APIs and implementation details.
- Deliver web platform innovation in important areas of the browser engine with a focus on the needs of our customers and web developers.
- Contribute directly to the Chromium project for aspects that can be shared with other Chromium-based browsers.
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, C, C++, C#, Java, JavaScript, or Python
- 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, C, C++, C#, Java, JavaScript, or Python
- OR Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Cross-platform development experience.
- Experience contributing to a large-scale software engineering project.
- Design, coding, and debugging skills in modern programming languages.
#MicrosoftAI #microsoftedge #Chromium #Rendering #BrowserEngineering #WebPerformance #WebPlatform #GraphicsEngineering
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.
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