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. Join us in building the foundation for the next generation of AI. 

The Platform Engineering team is responsible for designing and optimizing AI Agents that can reason, plan, and take action autonomously. we build robust orchestration layers that coordinate complex multi-model and multi-service workflows with reliability and scale. We push the boundaries of inference performance, driving low-latency, high-quality model execution across production workloads. As a Member of Technical Staff, Platform Tools, you’ll design and deliver the primitives that power Copilot and other AI-powered experiences. These building blocks form the backbone of secure, scalable, and reliable workflows that product teams use to craft robust and seamless user experiences. From tool orchestration to performance optimization, you’ll deliver fast, secure, and dependable execution that turns Copilot into a true productivity engine.

Your work will make it possible for agents to call APIs, services, and workflows securely, efficiently, and with high success rates – ensuring Copilot doesn’t just answer questions but gets things done.

Ideal candidates have backend or ML systems expertise who thrive at the intersection of product and inference. You take ownership, tackle hard problems, and build the connective systems that make AI products fast, reliable, and scalable- collaborating with teams to deliver high-impact platforms that power real-world workflows.

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.

• Build secure and performant AI platform services that power Copilot
• Collaborate with engineers and AI researchers to design scalable, reliable, and maintainable systems.
• Deliver production-quality code iteratively and efficiently, overcoming roadblocks to get features into users’ hands.
• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.

Required Qualifications

• Bachelor’s degree in Computer Science or related technical discipline and 4+ years of technical engineering experience, or equivalent experience.

Preferred Qualifications

• Bachelor’s degree in Computer Science or related technical discipline and 6+ years of technical engineering experience, or equivalent experience.
• Proficiency in coding languages such as C, C++, C#, Go, Java, Python, and/or Rust.
• Strong collaborator with proven ability to communicate complex technical concepts clearly to technical and non-technical stakeholders and work effectively with cross-functional teams.
• Skilled at designing and operating reliable, high-performance systems, identifying and resolving complex technical issues, and writing clean, maintainable, and secure code.
• Adaptable, proactive, and passionate about learning new technologies, thriving in fast-paced environments, and contributing to an inclusive, high-impact team culture.
• Hands-on experience with AI platforms, machine learning frameworks, and APIs, including developing, deploying, and scaling language models.

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.

At Microsoft Edge, performance defines the user experience. We are looking for a Principal Software Engineer to help shape the future of browser performance across real‑world scenarios—navigating websites, interacting with content, scrolling pages, and responding instantly to user input. In this role, you will own performance outcomes for major browser subsystems and help ensure Edge feels fast, responsive, and reliable for millions of users every day.

You will lead the design and evolution of systems that make performance durable as the product grows. This includes setting architectural direction, modernizing legacy implementations, and establishing clear performance patterns so new features ship with performance built in—not added later. You will work hands‑on in the codebase, using real user signals, traces, and data to understand where time is spent and to drive deep improvements in navigation, input responsiveness, startup, and ongoing interaction quality.

Your impact will scale through systems and influence. You will advance performance tooling, automation, and AI‑assisted diagnostics to help teams detect, understand, and prevent performance issues before they reach customers. Partnering closely with feature teams, you will help make performance a first‑class design constraint across Edge. Success in this role is measured by sustained improvements in real user experiences—faster interactions, smoother input, fewer recurring regressions, and a higher performance bar across the organization.

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.

• Own performance outcomes for Microsoft Edge user scenarios including site navigation, scrolling, input responsiveness, and startup.
• Lead architectural evolution to ensure browser performance remains durable as Edge scales and evolves.
• Drive data‑informed performance improvements using real‑world telemetry, traces, and experiments.
• Modernize legacy implementations and establish clear performance‑focused coding patterns and quality bars.
• Partner with feature teams to make performance a first‑class design constraint from concept to ship.
• Scale impact through performance tooling, automation, and AI‑assisted diagnostics to prevent regressions.

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++, Rust, C#, Java, JavaScript, or Python
  • OR equivalent experience.

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++, Rust, 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++, Rust, C#, Java, JavaScript, or Python
• OR equivalent experience.
• 3+ years experience designing and shipping performance-critical, large-scale software with measurable user impact (e.g., navigation, scrolling, input responsiveness, startup).
• Proven ability to drive architectural changes and modernize complex/legacy codebases to improve performance, reliability, and maintainability.
• Ability to scale impact through performance tooling/automation (including AI-assisted diagnostics/analysis) and to influence technical direction through reviews and cross-team collaboration.

#MicrosoftAI #microsoftedge

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.

Required 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.

Preferred Qualifications

• 5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++
• Comitted organizational, analytical, data science skills. 
• Ability to solve problems that the world has not solved before. 
• Experience with real world system building and data collection, including design, coding and evaluation.  
• Experience with driving large collaboration across multiple teams.
• Experience with communicating with different audiences to provide insights.
• Demonstrated experience in applying statistics, experimentation and metrics to generate clear actionable insights.

#MicrosoftAI 

Data Science IC4 – The typical base pay range for this role across the U.S. is USD $119,800.00 – $234,700.00 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 $160,200.00 – $261,000.00 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.

As a Member of Technical Staff – Machine Learning, you will work to create LLM models for general purpose capabilities and for products. You may be responsible for developing new methods to train core LLM capabilities (including agentive), collecting data, evaluating LLMs, creating data flywheels, tooling for LLM training/evals, writing production quality code, and creating new user-facing features. You should be comfortable creating Reinforcement Learning data, fine tuning, or training classifiers or engineering prompts to create SOTA foundation models and support Microsoft products and the Cloud API. We’re looking for someone with experience in machine learning, software engineering, as well as an effective communicator and great teammate. The right candidate takes the initiative, is user-centered and enjoys building world-class AI experiences and products in a fast-paced environment.

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.

Microsoft AI 

This role is part of Microsoft AI. Our team is a startup-like organization within Microsoft, dedicated to pushing the boundaries of artificial intelligence while maintaining a strong commitment to safety, responsibility, and human values.

Our mission is to build AI that amplifies human potential and empowers people around the world. We strive to deliver breakthroughs that advance science, education, productivity, 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!

• Own and pursue a research agenda to improve model capability and performance for agentive application.
• Collaborate closely with the other research and product teams, from pretraining to model hosting to unlock new model capabilities.
• Build robust evaluations for tracking modeling improvements.
• Design, implement, test, and debug code across our research stack.

Required 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 equivalent experience. 

Additional Qualifications:

• Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field AND 2+ year(s) experience (e.g., finetuning models with supervision or reinforcement learning, understanding and fixing data quality and curation, working with collaborators on creating new products).
• OR Master’s Degree in Computer Science, Machine Learning, or related field AND 5+ years experience (e.g., managing structured and unstructured data, developing and debugging models, creating infrastructure for AI-powered products).
• OR Bachelor’s Degree in Computer Science, Mathematics, Machine Learning, Physics, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction).
• Demonstrated engineering experience or research experience (e.g. creating or leading the creation of a feature in a different company, complex graduate work, research papers, or other experience).
• Experience prompting, evaluating, and working with large language models.
• Experience writing production-quality Python code. 

Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $165,600.00 – $296,400.00 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 $220,800.00 – $331,200.00 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.

The Microsoft Commerce team is at the forefront of defining how AI‑native shopping comes to life, shaping how Copilot helps people discover, decide, and take action. We are pioneering the future of AI shopping by building intelligent, trusted experiences that redefine commerce and shopping across Microsoft surfaces. 

As a Principal Product Manager, you’ll be responsible for understanding user and business needs, defining clear requirements, and driving execution across engineering, design, and partner teams. You set strategy, align stakeholders, manage delivery through launch and iteration, and ensure outcomes are measurable, high‑quality, and scalable.  

In this role, you will learn how to operate lean teams that obsess over users, make high‑quality decisions grounded in evidence, and ship continuously. You’ll develop the ability to move quickly from insight to impact, delivering real, immediate value to users. As the AI landscape evolves at an unprecedented pace, you’ll gain hands‑on experience working at the center of that transformation, building products at the heart of how AI is reshaping the world.  

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.

• You will influence others to drive business impact across the organization and track success criteria for multiple feature areas across divisions. You’ll also be an expert in identifying long-term investment opportunities and engaging partners to garner support for those feature areas. 
• Translate business goals into strategy, user experience and technical requirements in close collaboration with Applied Science, Data Science, Engineering, UX and Product Marketing/Sales teams.  
• You will define a feature set and facilitate senior-level usability reviews with customers. You’ll own the roadmap for multiple feature areas across divisions, and will collaborate with a partner team to build golden configurations and drive scenario walkthroughs. 
• Enjoy working in a fast-paced, customer-first, product development cycle.  
• As an expert, you will partner with others to collect performance metrics and form hypotheses for complex technical needs in order to improve product development in multiple areas. You’ll also identify features to deprecate, manage customer communities, and build trust with targeted customers across sectors. 

Required Qualifications:

• Bachelor’s Degree AND 8+ years experience in product/service/program management or software development
  • OR equivalent experience.

Preferred Qualifications:

• Bachelor’s Degree AND 12+ years experience in product/service/program management or software development
  • OR equivalent experience.
• 2+ years experience leading cross functional product teams across advertising, privacy, search, conversational AI, or generative AI 
• 6+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn). 
• 5+ years experience with data analytics and experimentation tools with working knowledge of SQL and coding skills (Python, Javascript). 
• Depth in experimentation and measurement (A/B testing, causal inference, learning outcomes, cohort analysis).  
• 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.    

#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.

• Reliability & Availability: Ensure uptime, resiliency, and fault tolerance of AI model training and inference systems.
• Observability: Design and maintain monitoring, alerting, and logging systems to provide real-time visibility into model serving pipelines and infra.
• Performance Optimization: Analyze system performance and scalability, optimize resource utilization (compute, GPU clusters, storage, networking).
• Automation & Tooling: Build automation for deployments, incident response, scaling, and failover in hybrid cloud/on-prem CPU+GPU environments.
• Incident Management: Lead on-call rotations, troubleshoot production issues, conduct blameless postmortems, and drive continuous improvements.
• Security & Compliance: Ensure data privacy, compliance, and secure operations across model training and serving environments.
• Collaboration: Partner with ML engineers and platform teams to improve developer experience and accelerate research-to-production workflows.

Required Qualifications

• 4+ years of experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering roles.

Preferred Qualifications

• Strong proficiency in Kubernetes, Docker, and container orchestration.
• Knowledge of CI/CD pipelines for Inference and ML model deployment.
• Hands-on experience with public cloud platforms like Azure/AWS/GCP and infrastructure-as-code.
• Expertise in monitoring & observability tools (Grafana, Datadog, OpenTelemetry, etc.).
• Strong programming/scripting skills in Python, Go, or Bash.
• Solid knowledge of distributed systems, networking, and storage.
• Experience running large-scale GPU clusters for ML/AI workloads (preferred).
• Familiarity with ML training/inference pipelines.
• Experience with high-performance computing (HPC) and workload schedulers ( Kubernetes operators).
• Background in capacity planning & cost optimization for GPU-heavy environments.
• Work on cutting-edge infrastructure that powers the future of Generative AI.
• Collaborate with world-class researchers and engineers.
• Impact millions of users through reliable and responsible AI deployments.
• Competitive compensation, equity options, and comprehensive benefits.

Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800.00 – $234,700.00 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 $160,200.00 – $261,000.00 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 $142,800.00 – $274,800.00 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 $188,000.00 – $304,200.00 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 $142,800 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

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

Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $142,800 – $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.

• 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

• Bachelor’s Degree AND 8+ years’ experience in product management or software development OR equivalent experience.  

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.

• 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. 

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.

We are looking for a Principal Product Manager to broaden our efforts for Multimedia offerings in this fast changing search space. We are building highly scalable products to delight our users. In this role, you will use qualitative (customer feedbacks, user research, academic research) and quantitative data analysis to drive immediate and long-term improvements (data, relevance, UX, measurement) to both existing experience and identify opportunities for the future. You will closely work with designers, engineers, scientists, user research and broader cross-org teams across Windows, Edge and Microsoft to build a plan and roadmap to evolve the experience and support our partners. You will also rely on your experience in enhancing existing UX & platform solutions at scale to be adopted by multiple products and teams across Microsoft.

The Search organization includes the product, engineering, and growth teams responsible for Microsoft Bing worldwide. Our mission is to delight users everywhere with the best search experience. We are focused on creating competitive and differentiated search quality experiences, which we do by applying highly advanced ML technologies such as large-scale deep learning models and by investing in more modern search experiences.

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.

• Understand gaps and opportunities in Search Experiences by conducting qualitative and quantitative analysis
• Keep pace with emerging standards in your feature area, and leverage learnings to improve our future product roadmap across desktop, mobile, and app categories
• Proactively identify and manage scenario backlog, including ensuring partner dependencies are delivered in a timely fashion
• Define and drive experimentation plans that ensure statistically meaningful conclusions are reached
• Partner with key internal and external partners to develop joint product plans, gather feedback, manage dependencies, and ensure customer success
• Actively drive and present product plans and reviews, demos, and competitive analyses with the team, partners, and executive leadership

Required Qualifications:

• Bachelor’s Degree AND 8+ years experience in product/service/program management or software development
  • OR equivalent experience.

Additional or Preferred Qualifications:

• Bachelor’s Degree AND 12+ years experience in product/service/program management or software development
  • OR equivalent experience.
• 4+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework).
• 6+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn).
• 6+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product).

#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.

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 engineering team is looking for a Senior Software Engineer – Browser Platform to join its on-device ML team to help deliver on-device ML capabilities developers want via new and evolving web APIs such as WebNN, the Prompt API, the Writing Assistance API, and more.

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.

• Collaborate with teams across many parts of Microsoft, including with researchers to evaluate and optimize cutting-edge on-device models.
• Develop evaluation pipelines and datasets to ensure models meet developers’ needs.
• Integrate the models and runtimes into Edge and collaborate to improve the full on-device ML stack.
• Engage with the web ecosystem—including through the open web standards process—to ensure API designs are high quality and enable cross-browser interoperability.
• Contribute directly to the Chromium project for aspects that can be shared with other Chromium-based browsers.

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, 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, 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 or Python
  • OR equivalent experience.
• Past experience contributing to a large-scale software engineering project.
• Past experience with evaluating and training ML models.
• Solid design, coding, and debugging skills in modern programming languages.

#MicrosoftAI #microsoftedge

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.