Microsoft AI is looking for a Member of Technical Staff – Capacity & Efficiency Infrastructure, to help us improve manage, and improve the efficiency of, our compute fleet. We’re seeking someone who brings an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The ideal candidate enjoys building world-class consumer experiences and products in a fast-paced environment. You will actively contribute to the development of AI models powering our innovative products. Expect to wear multiple hats and work across engineering, research, and everything in between. Your contributions will span model architecture, data curation, training and inference infrastructure, evaluation protocols, alignment and reinforcement learning from human feedback (RLHF), and many other exciting topics at the cutting edge of AI.

Microsoft AI is building the training infrastructure that powers frontier-scale models and advances research toward humanist superintelligence.

As a Member of Technical Staff – Capacity & Efficiency, you will contribute to a fast-moving codebase that enables training at an unprecedented scale. This role will require building software and mathematical models for measuring the effectiveness of our capacity usage and then developing tools and techniques to help us improve. This will require you to partner with ML researchers to scale up the latest research recipes, implement new forms of distributed training parallelism, and ensure the reliability and performance of thousands of GPUs across our supercomputing fleet. Profiling, benchmarking, debugging, and fine-grained optimization are core to this role, demanding both engineering rigor and creativity.

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! 

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

By applying to this Mountain View, CA position, you are required to be local to the San Francisco area and in office 4 days a week. 

• Design, implement, test, and optimize distributed training infrastructure in Python and C++ for large-scale GPU clusters.

• Build and evolve telemetry systems to provide visibility into infrastructure & ML model performance, utilization, and cost related metrics
• Profile, benchmark, and debug performance bottlenecks across compute, memory, networking, and storage subsystems
• Drive architectural improvements across various ML services which deliver measurable efficiency improvements
• Build and evolve tools to automatically provide insights and recommendations to improve fleet-wide efficiency

• Optimize collective communication libraries (e.g., NCCL) for emerging NVLink and InfiniBand topologies
• Partner with ML researchers and infrastructure engineers to understand their plans and future needs and develop plans to balance growth with efficiency

• Collaborate with hardware teams to optimize for next-generation accelerators (NVIDIA, MAIA, and beyond)
• Embody our Culture and Values.

Required Qualifications:

• Bachelor’s Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience

Preferred Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to,  C++ or Python OR Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C++  or Python
  • OR equivalent experience

• Deep understanding of the fundamentals of GPU architectures and DL/LLM architectures
• Deep experience in profiling and analyzing performance in large-scale distributed computing systems.
• Deep experience in profiling and analyzing performance in ML models especially GenAI models
• Experience with low-level GPU programming (CUDA, Triton, NCCL) and frameworks such as PyTorch or JAX.
• Experience in leading technical projects and supporting architectural decisions with data.  
• Experience building infrastructure for large-scale machine learning or generative AI workloads.
• Experience in networking (InfiniBand, NVLink), storage systems, or distributed training parallelisms.
• Track record of contributing to high-performance computing or large-scale AI infrastructure projects.

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.

The Ads Data Platform Team, part of Microsoft AI (Artificial Intelligence), is hiring Principal Software Engineer. 

This role is available in Redmond, WA.

Our team powers the backbone of Microsoft’s global ads marketplace—gathering, storing, and enriching over half a trillion ad-serving events every day. We build data platforms that fuel business analytics, machine learning models, and real-time reporting at massive scale. We are looking for an experienced Software Engineer to join the Ads Engineering team and help advance the core capabilities of our Ads serving stack. If you’re passionate about solving complex problems and driving innovation, this is the place for you. This system powers advertisements across a range of Microsoft services, including Bing Search, MSN, Start.com, and shopping experiences in the Edge browser. Our serving stack is a high-scale, low-latency, geo-distributed system with numerous components—including large-scale machine learning inference for ad ranking, real-time bidding infrastructure, and other subsystems supporting diverse ad scenarios.

This role offers an exciting opportunity to contribute to the innovation and evolution of a system operating at an exceptional scale and speed. You’ll face a wide variety of technical challenges: from designing new features and optimizing performance down to the millisecond, to building scalable infrastructure for containerized services. You’ll work alongside a passionate, world-class engineering team, own major feature areas, and collaborate globally. If you thrive on solving complex technical problems in a dynamic environment, this is the opportunity for you.

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.

• Work with Bing Ads stakeholders to determine requirements for new features to drive up Ads business. Create system design for feature requirements. Assure system meets security and compliance requirements and expectations. Creates a clear and articulated plan for testing and assuring quality solutions.
• Implement the features with high efficiency, extensibility, diagnosability, reliability, and maintainability with few defects. Reviews code of product to assure it meets the team’s and Microsoft’s quality standards, is reliable and accurate, and is appropriate for the scale of the product feature.
• Maintain operations of live service as issues arise on a rotational, on-call basis. Identifies solutions and mitigations to simple and complex issues and escalates as necessary. Acts as a Designated Responsible Individual (DRI) working on call to monitor system/product feature/service for degradation, downtime, or interruptions. Responds within Service Level Agreement (SLA) timeframe. Escalate issues to appropriate owners.
• Build knowledge, share new ideas, and share pinpoints of engineering tool gaps to improve software developer tools to support other programs, tools, and applications to create, debug, and maintain code for product features. Contribute to the development of automation within production and deployment of a product feature.
• Profile and analyze distributed system performance and capacity bottlenecks. Propose and implement solutions to improve system latency and capacity to meet Bing Ads online serving requirements.

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.
• Experience in Azure. 
• Experience in big data, distributed and online system design, implementation and qualification. 
• 2+ years’ experience in Distributed Systems and Big Data Technologies such as Spark, Hadoop, HDFS, Kafka, Flink, Scala.

#MicrosoftAI #BingAds #BigData

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.

Are you passionate about building best multimedia search experience on the web and helping billions of internet users find the most relevant and enjoyable image/video content on the web?  Unique challenge of multimedia search depends on talents from diversified technical backgrounds. Do you want to work with a group of talented data and applied scientists and distributed system engineers to grow your experience/career in wide range of areas including computer vision, natural language processing, machine learning, deep learning, big data mining, and information retrieval etc.?  If so, this applied scientist/ML engineer position on Bing multimedia relevance team will be a great fit for you!

The Bing multimedia Relevance Team develops the advanced search technology that powers Bing multimedia search.  We are responsible for delivering the best images/videos for user’s queries and browsing across the globe.  It’s more than just finding a web page that matches a query – it’s about training sophisticated machine learned models to drive the ranking, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of big data and signals from millions of people across the web.  Pulling together and combining information from multiple sources to provide the user with results that best match their intent.  Machine learning, deep learning, natural language processing, computer vision, big data mining and information retrieval – it’s all part of the job.

The Bing multimedia Relevance Team is looking for a talented machine learning scientist/engineer to help us deliver our next generation of ranking algorithms.  Qualified applicants should have a solid machine learning background, excellent coding skills, and a MS or higher degree in computer science or a related field.  We are looking for a self-motivated and passionate individual who is interested in applying machine learning, deep learning, natural language processing, and data mining to deliver the best search results on the web and make an impact on millions of users.  You should have solid problem solving and technical skills, and be able to apply research concepts in new and innovative ways.

This is a fun and fast paced environment, where developers are empowered to innovate. This is a great opportunity to work on something highly strategic to Microsoft, and an opportunity to directly impact millions of users in an exciting area.

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.

• Analyze problems through all data available to you including large scale crawled data and user engagement data etc.
• Define problems and metrics to address various problems including relevance, authority, attractiveness, diversity, and freshness etc.
• Design and train ML system and model architecture.
• Collect data for training. 
• Define engineer life cycle and drive project forwards through iterative ranker releases.
• Understanding search stack and platform in order to deploy models to production.
• Collaborate with other data & applied scientists as well as distributed system engineer and program manager.
• Proactively seeks mentorship from others.

Required Qualifications:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) 
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.

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 Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• Solid machine learning / computer vision / natural language processing experience and results in academy or industry. Publications in major ML/IR/NLP/CV conferences.  Examples:  ICML, NIPS, SIGIR, ACL, EMNLP, CVPR, KDD.
• Experience in open source (spark, hbase, hadoop etc) or microsoft internal tech (cosmos, autopilot, azure) are big plus as well as most of our project/scenario is across system and AI areas.
• Good communication skills and ability to work in collaborative environment.
• Good design and problem-solving skills and an ability to innovate and solve challenging technical problems.
• Passion and self-motivation.
• Embrace engineering excellence and delivering quality results at scale.

#MicrosoftAI 

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

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

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

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

As Microsoft continues to push the boundaries of AI, we are on the lookout for seasoned engineering leaders to help shape the future of our AI products and organization. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.

Microsoft AI (MAI) is seeking an experienced Senior Engineering Leader to build, scale, and run a high-performing engineering organization responsible for Copilot AI Evaluation. This is a role for a proven people leader who has built and managed multi-team organizations — someone who has hired and developed engineering managers, set organizational strategy, and delivered large-scale technical programs across multiple workstreams. You will own the engineering vision for LLM evaluation at Copilot, partnering directly with senior Eng and Product leadership to define priorities, drive execution, and raise the bar on engineering excellence. We are looking for a leader who combines deep technical judgment with a passion for growing people and building high-trust, high-velocity teams.

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

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

• Build and lead a multi-team engineering organization (30+ engineers across multiple teams), including hiring and developing engineering managers who lead their own teams.
• Set the technical and organizational strategy for Copilot AI Evaluation and response quality, aligning with MAI’s broader product and engineering vision.
• Partner with senior Eng and Product leadership (Partner+ level) to define priorities, influence roadmaps, and drive cross-organizational initiatives.
• Own end-to-end delivery of evaluation platforms, novel evaluation techniques, and agentic solutions for measuring and improving Copilot quality at scale.
• Recruit, develop, and retain world-class engineering talent — building a culture of technical excellence, accountability, and continuous learning.
• Drive operational rigor: establish engineering processes, quality bars, and delivery cadences that enable predictable, high-quality execution across multiple concurrent workstreams.
• Navigate ambiguity and make high-judgment tradeoff decisions on technology, staffing, and investment priorities in a fast-moving AI landscape.
• Foster a diverse, inclusive team culture where engineers at all levels can do their best work and grow their careers.
• Embody our Culture and Values.

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

Preferred Qualifications

• Bachelor’s Degree in Computer Science or related technical discipline AND 12+ years of technical engineering experience, including 6+ years of engineering management experience with direct reports who are themselves people managers (managing managers).
• Master’s Degree or PhD in Computer Science or related technical field AND 15+ years of engineering experience, including 8+ years of people management experience.
• Demonstrated track record of building and scaling engineering organizations (hiring teams from scratch, structuring orgs, growing managers).
• Experience delivering large-scale software systems in AI, machine learning, or related fields.
• Experience managing organizations of 30+ engineers across multiple teams and workstreams.
• Deep expertise in LLM evaluation, AI quality measurement, or ML infrastructure at scale.
• Track record of partnering with senior leadership (VP/CVP level) to set strategy and drive cross-organizational programs.
• Experience recruiting and developing senior engineering talent (principal engineers, engineering managers) in a competitive market.
• Proven ability to operate effectively in fast-paced, ambiguous environments — comfortable making decisions with incomplete information and course-correcting quickly.
• Strong technical judgment: ability to evaluate architectural tradeoffs, assess technical risk, and guide teams toward sound engineering decisions without needing to write the code yourself.
• Experience leading distributed or multi-site engineering teams.

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

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

Software Engineering M6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year.

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

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

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

The Ads Data Platform Team, part of Microsoft AI (Artificial Intelligence), is hiring a Senior Software Engineer. 

This role is available in Redmond, WA.

Our team powers the backbone of Microsoft’s global ads marketplace—gathering, storing, and enriching over half a trillion ad-serving events every day. We build data platforms that fuel business analytics, machine learning models, and real-time reporting at massive scale. If you’re passionate about solving complex problems and driving innovation, this is the place for you. 

As part of our team, you’ll: 

• Design and operate high-scale, high-performance systems that process billions of events through near-real-time and offline pipelines.
• Build data applications that directly impact Microsoft Ads’ double-digit annual growth.
• Work on cutting-edge technologies in distributed systems, machine learning, and big data. 

Why join us? 

• Online advertising is one of the fastest-growing businesses on the Internet, with $70B of a $600B market already online—and we’re just getting started.
• You’ll tackle technical challenges that demand computational intelligence, scalable algorithms, and interdisciplinary expertise across data mining, optimization, and economics.
• Be part of a results-driven, inclusive culture where your ideas matter and your work create measurable business impact. 

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.

• Work with BingAds stakeholders to determine requirements for new features to drive up Ads business. Create system design for feature requirements. Assure system meets security and compliance requirements and expectations. Creates a clear and articulated plan for testing and assuring quality solutions.
• Implement the features with high efficiency, extensibility, diagnosability, reliability, and maintainability with few defects. Reviews code of product to assure it meets the team’s and Microsoft’s quality standards, is reliable and accurate, and is appropriate for the scale of the product feature.
• Maintain operations of live service as issues arise on a rotational, on-call basis. Identifies solutions and mitigations to simple and complex issues and escalates as necessary. Acts as a Designated Responsible Individual (DRI) working on call to monitor system/product feature/service for degradation, downtime, or interruptions. Responds within Service Level Agreement (SLA) timeframe. Escalate issues to appropriate owners.
• Build knowledge, share new ideas, and share pinpoints of engineering tool gaps to improve software developer tools to support other programs, tools, and applications to create, debug, and maintain code for product features. Contribute to the development of automation within production and deployment of a product feature.
• Profile and analyze distributed system performance and capacity bottlenecks. Propose and implement solutions to improve system latency and capacity to meet BingAds online serving requirements.

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.

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 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.
• Experience in Azure. 
• Experience in Machine learning and online system design, implementation and qualification. 
• 2+ years’ experience in Distributed Systems and Big Data Technologies such as Spark, Hadoop, HDFS, Kafka, Flink, Scala.

#MicrosoftAI #BingAds

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.

Join our innovative and fast-paced team within Bing Ads, where we are making impactful advancements in the advertising industry. Our recent achievements have driven significant revenue growth, and we’re seeking driven individuals to help us sustain this momentum. In our team, you’ll work on cutting-edge products for Ad Quality and Publishers monetization, focusing on enhancing user experience, building scalable reporting solutions for publishers, working with distributed systems, and delivering top-quality ads.

As a Senior Software Engineer on our team, you will play a crucial role in building solutions for publisher onboarding, ensure publisher quality verification, and provide comprehensive revenue and quality reports. Additionally, you’ll work to deliver top-quality ads to our publishers. This role offers a unique opportunity to accelerate your career growth, deepen your business acumen, and sharpen your technical skills. You’ll be part of a remote team, giving you the flexibility to work from home and manage your schedule efficiently.

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.

• 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.

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

Additional or 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#, 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#, Java, JavaScript, or Python
  • OR equivalent experience.
• Advanced React (TypeScript, hooks, Fluent UI), Redux Toolkit, and modular frontend architecture.
• Experience configuring and optimizing Webpack and Babel for modern JavaScript/TypeScript applications.
• Strong testing skills (Jest, React Testing Library), code quality (ESLint, Prettier), and documentation.
• Experience with monorepo tools (Lerna, Nx), API integration, and performance/accessibility best practices.
• Proficiency in Docker, Kubernetes, and Azure DevOps (YAML pipelines, CI/CD automation).
• Solid understanding of cloud deployment, release management, and infrastructure scripting (Bash, YAML).
• Proven ability to lead technical design, mentor team members, and drive architectural decisions.
• Experience optimizing large-scale systems for reliability, scalability, and maintainability.

#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.

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.

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

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

Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year.

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

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

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

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:

• Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred Qualifications:

• Master’s Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Bachelor’s Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Experience in Azure. 
• Experience in Machine learning and online system design, implementation and qualification. 
• 2+ years’ experience in Distributed Systems and Big Data Technologies such as Spark, Hadoop, HDFS, Kafka, Flink, Scala.

#MicrosoftAI #BingAds

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.