Are you passionate about building cutting-edge AI technologies at Microsoft? Do you get excited about designing systems that can search through hundreds of billions of documents in just milliseconds? If you have the skills and ambition to work alongside some of the brightest minds in the industry on projects that will make a lasting impact, STCA Bing Search Platform is the place for you.

About the Index Serve Platform Team

The Bing Index Serve team is at the heart of Bing’s search engine. We manage tens of thousands of machines and deliver backend search services for document selection and ranking at massive scale. Our technology stack spans some of the most exciting areas in computing, including:

• Resource Scheduling
• Distributed Object Storage Systems
• Index Selection and Ranking
• AI-powered Search and NLP

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.

• Design and implement highly scalable, low-latency, always-on services that power Bing search.
• Quickly ramp up on diverse components, understand their design and functionality, and deliver impactful features.
• Influence architecture and design decisions across teams, driving best practices and common patterns.
• Collaborate effectively with multiple teams, demonstrating solid partnership and communication skills.
• Design, build, and optimize search and information retrieval solutions, as well as large‑scale distributed systems, to support AI‑driven online applications.

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience.
• 1+ years of programming experience in Python, C++, C#, or similar languages.
• Familiarity with data mining, machine learning, classification, clustering, or related areas.
• Ability to think creatively and deliver innovative solutions to complex problems.

Preferred Qualifications:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• Experience in search technologies, information retrieval, or large-scale distributed systems.
• Expertise in Deep Learning, especially Natural Language Processing (NLP).

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.

Help build the infrastructure that powers training, evaluation, and data platforms for reliable deployment of world-class foundational AI models. We are on a mission to create state-of-the-art AI models and deploy them across Microsoft products at an unprecedented scale.

You’ll collaborate across engineering and research to design, evolve, and operate core research infrastructure, so that product teams can train faster, evaluate more rigorously, and ship with confidence. You’ll work closely with the teams that transform pre-trained models into the consumer Copilot experience.

Microsoft’s mission is to empower every person and every organization to achieve more, and we build on values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive.

Microsoft Superintelligence Team

This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.

We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

• Design and build core platform services for scalable training and evaluation, including cluster orchestration, job scheduling, data and compute pipelines, and artifact management.
• Standardize containerized workflows by maintaining Docker images, CI/CD, and runtime configurations; advocate for best practices in security, reproducibility, and cost efficiency.
• Implement end-to-end observability and operations through metrics, tracing, logging, dashboard development, monitoring, and automated alerts for model training and platform health (using Prometheus, Grafana, OpenTelemetry).
• Architect and operate services on Azure cloud platforms, managing infrastructure-as-code (Terraform/Helm), secrets, networking, and storage.
• Enhance developer experience by creating tools, CLIs, and portals that simplify job submission, metrics analysis, and experiment management for generalist software engineering and research teams.
• Enforce security and compliance policies for data access, container hardening, and supply-chain integrity, and partner with security and privacy teams to maintain robust practices in multi-tenant environments and secret management.
• Collaborate cross-functionally with data, model, and product teams to align infrastructure roadmaps with training needs, evaluation protocols, and Copilot product goals.

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.

Help build the infrastructure that powers training, evaluation, and data platforms for reliable deployment of world-class foundational AI models. We are on a mission to create state-of-the-art AI models and deploy them across Microsoft products at an unprecedented scale.

You’ll collaborate across engineering and research to design, evolve, and operate core research infrastructure, so that product teams can train faster, evaluate more rigorously, and ship with confidence. You’ll work closely with the teams that transform pre-trained models into the consumer Copilot experience.

Microsoft’s mission is to empower every person and every organization to achieve more, and we build on values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive.

Microsoft Superintelligence Team

This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.

We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

• Design and build core platform services for scalable training and evaluation, including cluster orchestration, job scheduling, data and compute pipelines, and artifact management.
• Standardize containerized workflows by maintaining Docker images, CI/CD, and runtime configurations; advocate for best practices in security, reproducibility, and cost efficiency.
• Implement end-to-end observability and operations through metrics, tracing, logging, dashboard development, monitoring, and automated alerts for model training and platform health (using Prometheus, Grafana, OpenTelemetry).
• Architect and operate services on Azure cloud platforms, managing infrastructure-as-code (Terraform/Helm), secrets, networking, and storage.
• Enhance developer experience by creating tools, CLIs, and portals that simplify job submission, metrics analysis, and experiment management for generalist software engineering and research teams.
• Enforce security and compliance policies for data access, container hardening, and supply-chain integrity, and partner with security and privacy teams to maintain robust practices in multi-tenant environments and secret management.
• Collaborate cross-functionally with data, model, and product teams to align infrastructure roadmaps with training needs, evaluation protocols, and Copilot product goals.

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.

Help build the infrastructure that powers training, evaluation, and data platforms for reliable deployment of world-class foundational AI models. We are on a mission to create state-of-the-art AI models and deploy them across Microsoft products at an unprecedented scale.

You’ll collaborate across engineering and research to design, evolve, and operate core research infrastructure, so that product teams can train faster, evaluate more rigorously, and ship with confidence. You’ll work closely with the teams that transform pre-trained models into the consumer Copilot experience.

Microsoft’s mission is to empower every person and every organization to achieve more, and we build on values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive.

Microsoft Superintelligence Team

This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.

We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

• Design and build core platform services for scalable training and evaluation, including cluster orchestration, job scheduling, data and compute pipelines, and artifact management.
• Standardize containerized workflows by maintaining Docker images, CI/CD, and runtime configurations; advocate for best practices in security, reproducibility, and cost efficiency.
• Implement end-to-end observability and operations through metrics, tracing, logging, dashboard development, monitoring, and automated alerts for model training and platform health (using Prometheus, Grafana, OpenTelemetry).
• Architect and operate services on Azure cloud platforms, managing infrastructure-as-code (Terraform/Helm), secrets, networking, and storage.
• Enhance developer experience by creating tools, CLIs, and portals that simplify job submission, metrics analysis, and experiment management for generalist software engineering and research teams.
• Enforce security and compliance policies for data access, container hardening, and supply-chain integrity, and partner with security and privacy teams to maintain robust practices in multi-tenant environments and secret management.
• Collaborate cross-functionally with data, model, and product teams to align infrastructure roadmaps with training needs, evaluation protocols, and Copilot product goals.

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.

• 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.

• Have built data collection or evaluation pipelines for pre-training or post-training AI models 
• Have experience in working side-by-side with ML researchers or ML infrastructure teams to build large scale ML / AI models 
• Take the initiative and enjoys finding paths through complexity in a fast-paced environment, innovative environment 
• Are passionate about managing high stakes time-sensitive large-scale goals, and drive to relentlessly unblock progress 
• Demonstrate a proactive attitude and enthusiasm for exploring new methods and are familiar with research and technical advancement in their area 
• Have worked backwards from customer needs to deliver robust, scalable solutions that empower developers and enterprise customers.

• Identify and prioritize language / coding / multimodal issues and work with researchers to find a path to resolution. 
• Create novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning. 
• Create model prototypes to prove out new feature directions and scope projects. 
• Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback 
• Foster a culture of collaboration, continuous improvement, and growth. 
• Advance the AI frontier responsibly  

• Bachelor’s Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience. 
• 2+ years direct, hands-on collaboration with model researchers and ML engineers in areas such as training runs, data evaluation, infrastructure, coding, or safety.
• Experience building and shipping data pipelines or evaluation systems personally. 

• A technical postgraduate degree is strongly preferred; a PhD is ideal but not mandatory. 
• Demonstrated ability to bring enterprise or developer products to market by deeply engaging with end customers. 

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.

• Have built data collection or evaluation pipelines for pre-training or post-training AI models 
• Have experience in working side-by-side with ML researchers or ML infrastructure teams to build large scale ML / AI models 
• Take the initiative and enjoys finding paths through complexity in a fast-paced environment, innovative environment 
• Are passionate about managing high stakes time-sensitive large-scale goals, and drive to relentlessly unblock progress 
• Demonstrate a proactive attitude and enthusiasm for exploring new methods and are familiar with research and technical advancement in their area 
• Have worked backwards from customer needs to deliver robust, scalable solutions that empower developers and enterprise customers.

• Identify and prioritize language / coding / multimodal issues and work with researchers to find a path to resolution. 
• Create novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning. 
• Create model prototypes to prove out new feature directions and scope projects. 
• Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback 
• Foster a culture of collaboration, continuous improvement, and growth. 
• Advance the AI frontier responsibly  

• Bachelor’s Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience. 
• 2+ years direct, hands-on collaboration with model researchers and ML engineers in areas such as training runs, data evaluation, infrastructure, coding, or safety.
• Experience building and shipping data pipelines or evaluation systems personally. 

• A technical postgraduate degree is strongly preferred; a PhD is ideal but not mandatory. 
• Demonstrated ability to bring enterprise or developer products to market by deeply engaging with end customers. 

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.

• Have built data collection or evaluation pipelines for pre-training or post-training AI models 
• Have experience in working side-by-side with ML researchers or ML infrastructure teams to build large scale ML / AI models 
• Take the initiative and enjoys finding paths through complexity in a fast-paced environment, innovative environment 
• Are passionate about managing high stakes time-sensitive large-scale goals, and drive to relentlessly unblock progress 
• Demonstrate a proactive attitude and enthusiasm for exploring new methods and are familiar with research and technical advancement in their area 
• Have worked backwards from customer needs to deliver robust, scalable solutions that empower developers and enterprise customers.

• Identify and prioritize language / coding / multimodal issues and work with researchers to find a path to resolution. 
• Create novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning. 
• Create model prototypes to prove out new feature directions and scope projects. 
• Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback 
• Foster a culture of collaboration, continuous improvement, and growth. 
• Advance the AI frontier responsibly  

• Bachelor’s Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience. 
• 2+ years direct, hands-on collaboration with model researchers and ML engineers in areas such as training runs, data evaluation, infrastructure, coding, or safety.
• Experience building and shipping data pipelines or evaluation systems personally. 

• A technical postgraduate degree is strongly preferred; a PhD is ideal but not mandatory. 
• Demonstrated ability to bring enterprise or developer products to market by deeply engaging with end customers. 

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.

• Have built data collection or evaluation pipelines for pre-training or post-training AI models 
• Have experience in working side-by-side with ML researchers or ML infrastructure teams to build large scale ML / AI models 
• Take the initiative and enjoys finding paths through complexity in a fast-paced environment, innovative environment 
• Are passionate about managing high stakes time-sensitive large-scale goals, and drive to relentlessly unblock progress 
• Demonstrate a proactive attitude and enthusiasm for exploring new methods and are familiar with research and technical advancement in their area 
• Have worked backwards from customer needs to deliver robust, scalable solutions that empower developers and enterprise customers.

• Identify and prioritize language / coding / multimodal issues and work with researchers to find a path to resolution. 
• Create novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning. 
• Create model prototypes to prove out new feature directions and scope projects. 
• Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback 
• Foster a culture of collaboration, continuous improvement, and growth. 
• Advance the AI frontier responsibly  

• Bachelor’s Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience. 
• 2+ years direct, hands-on collaboration with model researchers and ML engineers in areas such as training runs, data evaluation, infrastructure, coding, or safety.
• Experience building and shipping data pipelines or evaluation systems personally. 

• A technical postgraduate degree is strongly preferred; a PhD is ideal but not mandatory. 
• Demonstrated ability to bring enterprise or developer products to market by deeply engaging with end customers. 

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.

• Design and develop large-scale, distributed systems—including CPU and GPU ranking platforms—to support real-time processing of millions of ad requests per second with high efficiency, extensibility, diagnosability, reliability, and maintainability.
• Lead architecture discussions, create technical design documents, and drive end-to-end solution planning—identifying system dependencies, performance optimizations, and security/compliance requirements across interconnected services.
• Implement features and enhancements with a focus on code quality, maintainability, and scalability; conduct thorough code reviews to uphold Microsoft engineering standards and ensure solutions are production-ready.
• Serve as a Designated Responsible Individual (DRI) for live-site operations on a rotational on-call basis, proactively identifying, resolving, and escalating service degradations or interruptions to maintain high availability.
• Guide testing strategies and quality assurance plans, including unit tests, automation, and telemetry-based diagnostics to validate assumptions, ensure reliability, and drive continuous improvement in service performance.
• Mentor engineers on software engineering best practices, reusable patterns, and tooling; lead efforts to improve performance through debugging, refactoring, experimentation, and instrumentation at scale.
• Drive engineering excellence through compliance with global and local regulations, investment in modern tools and trends, and close collaboration with partner teams to deliver secure, performant, and customer-aligned ad-serving solutions.

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#, 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++, 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.
• Proven experience in designing, implementing, and validating deep learning systems for real-time online inference.
  Solid expertise in optimizing machine learning models for GPUs, including development of custom CUDA kernels for performance-critical workloads.
• Hands-on experience in designing, implementing, and scaling large-scale, distributed online systems with a deep understanding of system architecture is a must.
• Proven ability to profile, analyze, and optimize performance and capacity of native C++ systems in complex, high-throughput environments.

#MicrosoftAI 

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

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

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

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