Monetization Engineering is responsible for building a unified, intelligent, and resilient monetization platform that drives revenue across Microsoft’s AI-native surfaces, including Copilot, Search, MSN, Shopping, and both first-party and third-party ecosystems. Our mission is to enhance advertiser value, optimize platform performance, and achieve long-term revenue growth through large-scale systems, machine learning-driven optimization, experimentation, and cross-surface innovation.

The Ads Brain team serves as the technological core of Microsoft’s rapidly expanding digital advertising business. The team focuses on accelerating Microsoft’s large-scale deep learning inference for Ads, Shopping, Copilot, and other surfaces, including both offline and online applications that support OpenAI LLM models and next-generation LLMs/SLMs. We play a pivotal role in bridging state-of-the-art GPU and deep learning technologies with critical business applications.

We are seeking an experienced professional with expertise in GPU inference optimization and a deep understanding of LLM/SLM architecture to join our team. This is a unique opportunity to contribute to cutting-edge advancements in AI and deep learning while driving impactful solutions for Microsoft’s advertising and monetization platforms.

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.

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.

Preferred Qualifications:

• Experience with model compression (quantization, distillation, SVD, low‑rank methods).
• Experience in building high‑throughput inference serving stacks (continuous batching, KV‑cache optimizations, routing).
• Familiarity with Microsoft’s DLIS, Talon routing, Triton/TensorRT‑LLM stack, and Azure/H100/A100 GPU environments. 
• Publications, competition wins, or real‑world deployments related to model efficiency.
• Solid experience in GPU inference optimization (CUDA, TensorRT, Triton, or custom GPU kernels).
• Proficiency in profiling tools (Nsight, TensorBoard, PyTorch profiler) and ability to identify CPU/GPU bottlenecks.
• Deep understanding of LLM/SLM architectures (attention, embeddings, MoE, decoders).
• Experience optimizing latency‑critical online services.
• 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.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

#MicrosoftAI 

Software Engineering 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.

Monetization Engineering is responsible for building a unified, intelligent, and resilient monetization platform that drives revenue across Microsoft’s AI-native surfaces, including Copilot, Search, MSN, Shopping, and both first-party and third-party ecosystems. Our mission is to enhance advertiser value, optimize platform performance, and achieve long-term revenue growth through large-scale systems, machine learning-driven optimization, experimentation, and cross-surface innovation.

The Ads Brain team serves as the technological core of Microsoft’s rapidly expanding digital advertising business. The team focuses on accelerating Microsoft’s large-scale deep learning inference for Ads, Shopping, Copilot, and other surfaces, including both offline and online applications that support OpenAI LLM models and next-generation LLMs/SLMs. We play a pivotal role in bridging state-of-the-art GPU and deep learning technologies with critical business applications.

We are seeking an experienced professional with expertise in GPU inference optimization and a deep understanding of LLM/SLM architecture to join our team. This is a unique opportunity to contribute to cutting-edge advancements in AI and deep learning while driving impactful solutions for Microsoft’s advertising and monetization platforms.

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.

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.

Preferred Qualifications:

• Experience with model compression (quantization, distillation, SVD, low‑rank methods).
• Experience in building high‑throughput inference serving stacks (continuous batching, KV‑cache optimizations, routing).
• Familiarity with Microsoft’s DLIS, Talon routing, Triton/TensorRT‑LLM stack, and Azure/H100/A100 GPU environments. 
• Publications, competition wins, or real‑world deployments related to model efficiency.
• Solid experience in GPU inference optimization (CUDA, TensorRT, Triton, or custom GPU kernels).
• Proficiency in profiling tools (Nsight, TensorBoard, PyTorch profiler) and ability to identify CPU/GPU bottlenecks.
• Deep understanding of LLM/SLM architectures (attention, embeddings, MoE, decoders).
• Experience optimizing latency‑critical online services.
• 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.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

#MicrosoftAI 

Software Engineering 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.

We are seeking a hands-on Principal Software Engineer (Security) with deep expertise in artificial intelligence security to take the lead in securing cutting-edge initiatives in Microsoft Edge. This Redmond-based role focuses on understanding existing and emerging threats, as well as cutting edge defenses, all within the context of a modern web browser. The ideal candidate has a solid background in AI (understanding how large language models work, prompt engineering, grounding techniques, when fine-tuning models is needed). While browser security domain knowledge is desirable, experience and expertise of AI integrations is paramount. This engineer will research new AI-driven vulnerabilities and implement practical mitigations to keep our users safe. The role is highly collaborative and requires excellent communication skills to work with multiple internal groups and external industry partners on securing AI features for modern AI browsers.

This role is about bringing top-tier AI security expertise into a browser security context. We need someone who can think like an attacker to anticipate how AI features could be abused, and act like an engineer to implement safeguards that make our browser and users safer. In doing so, you will elevate the security posture of Edge’s AI capabilities and help shape industry-leading practices for securing AI in end-user applications.

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

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.

• Partners with appropriate stakeholders to determine user requirements for one or more complex safety scenarios, including demonstration of security attacks, both practical contemporary attacks or future attacks.
• Provides technical leadership for the identification of dependencies and the development of design documents for Microsoft Edge and underlying AI platforms.
• Leads by example and mentors others to produce extensible and maintainable code used across the company.
• Leverages deep subject-matter expertise of cross-product features with appropriate stakeholders to lead multiple product’s project plans, release plans, and work items.
• Holds accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, monitoring system/product/service for novel security vulnerabilities.
• Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the security baseline, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale and shares knowledge with other engineers.

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.
• 3+ years of experience in AI/ML security
  
  • OR equivalent recent security expertise.
• Demonstrated ability to apply AI knowledge in practice including prompt engineering
  
  • Or grounding
  • Or model fine tuning
• Demonstrated ability to both break systems and discover novel security flaws as well as building safeguards to mitigate them.
• Experience with Modern browsers, especially chromium-based browsers.
• Experience representing a team in multi-stakeholder environments.

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 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 6+ years of a proven track record for building and shipping production software. 
• 6+ years demonstrated experience in different software development cycle: design, implementation, deployment, and live site. 
• 6+ years experience tracking complex technical issues for running online services.  

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.
• Passion for supporting great quality, high performance, and reliable systems and APIs.
• Designing and scaling high-throughput distributed systems and robust data pipelines, with a proven ability to architect resilient backend infrastructures that balance low-latency performance with complex data integrity requirements.
• Customer focused, strategic, drives for results, is self-motivated, and has a propensity for action.
• Good problem solver; ability to solve problems that the world has not solved before.

#MicrosoftAI

Software Engineering IC5 – The typical base pay range for this role across Canada is CAD $142,400 – CAD $257,500 per year.

Find additional pay information here:
https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Pour plus d’information au sujet de la rémunération, veuillez cliquer ici:
https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Ce poste sera ouvert pendant au moins cinq jours et les candidatures seront acceptées de façon continue jusqu’à ce que le poste soit pourvu.

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

Microsoft est un employeur offrant l’égalité d’accès à l’emploi. Tous les candidats qualifiés seront pris en considération pour l’emploi, sans égard à l’âge, à l’ascendance, à la citoyenneté, à la couleur, aux congés médicaux ou familiaux, à l’identité ou à l’expression de genre, aux renseignements génétiques, à l’état d’immigration, à l’état matrimonial, à l’état de santé, à l’origine nationale, à un éventuel handicap physique ou mental, à l’affiliation politique, au statut de vétéran protégé ou au statut militaire, à la race, à l’ethnie, à la religion, au sexe (y compris la grossesse), à l’orientation sexuelle ou à toute autre caractéristique protégée par les lois, ordonnances et règlements locaux applicables. Si vous avez besoin d’aide avec des accommodements religieux et/ou d’un accommodement raisonnable en raison d’un handicap pendant le processus de candidature, apprenez-en plus sur la demande d’accommodement.

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

We are inviting you to join the Copilot Team, where we are redefining the future of AI-powered experiences. The Copilot Team is at the forefront of innovation, building intelligent solutions that empower users across devices with seamless connections to Windows, M365, and Azure. From AI-driven mobile applications to advanced cross-device capabilities, we are delivering transformative experiences.

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

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

• Manage complex projects from conception to implementation, with a focus on delivering AI-driven user interfaces and performance-optimized web applications.
• Coordinate technical delivery through sprints, fostering collaboration throughout the project lifecycle.
• Collaborate across geographies and time zones to establish best practices and develop automated processes that mitigate development risks.
• Investigate and debug complex performance issues in applications, ensuring optimal user experience and system efficiency.
• Design and implement performance testing strategies to proactively address bottlenecks.
• Work closely with Product Designers, Product Managers, and Engineers to deliver AI-enhanced products that delight users.
• Drive team-wide investments in infrastructure and foundational systems to support long-term technical roadmaps.
• Solve technical challenges to deliver outstanding outcomes for customers and the business.

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.
• 4+ years of experience building applications and services in the Cloud.
• Demonstrated experience with application security assessment
• Ability to communicate technical details clearly across organizational boundaries.
• Experience in DevOps to maintain live services andor application frameworks. 
• Fluency in English.
• Familiarity with Agile and iterative development processes.

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.
• Cloud and services experience, with Azure cloud experience.
• Excellent analytical skills with systematic and structured approach to software design.
• Passion for building highly scalable, highly reliable services.
• Experience with or exposure to Agile and iterative development processes.
• Experience/background in the Cloud Security.
• Familiarity with Microsoft Azure stack.
• Proven ability to build and maintain cross-functional relationships across teams.
• Solid problem-solving skills, teamwork, and a passion for delivering exceptional user experiences.

#MicrosoftAI #CopilotTeam

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

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

We are inviting you to join the Copilot Team, where we are redefining the future of AI-powered experiences. The Copilot Team is at the forefront of innovation, building intelligent solutions that empower users across devices with seamless connections to Windows, M365, and Azure. From AI-driven mobile applications to advanced cross-device capabilities, we are delivering transformative experiences.

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

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

• Manage complex projects from conception to implementation, with a focus on delivering AI-driven user interfaces and performance-optimized web applications.
• Coordinate technical delivery through sprints, fostering collaboration throughout the project lifecycle.
• Collaborate across geographies and time zones to establish best practices and develop automated processes that mitigate development risks.
• Investigate and debug complex performance issues in applications, ensuring optimal user experience and system efficiency.
• Design and implement performance testing strategies to proactively address bottlenecks.
• Work closely with Product Designers, Product Managers, and Engineers to deliver AI-enhanced products that delight users.
• Drive team-wide investments in infrastructure and foundational systems to support long-term technical roadmaps.
• Solve technical challenges to deliver outstanding outcomes for customers and the business.

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.
• 4+ years of experience building applications and services in the Cloud.
• Demonstrated experience with application security assessment
• Ability to communicate technical details clearly across organizational boundaries.
• Experience in DevOps to maintain live services andor application frameworks. 
• Fluency in English.
• Familiarity with Agile and iterative development processes.

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.
• Cloud and services experience, with Azure cloud experience.
• Excellent analytical skills with systematic and structured approach to software design.
• Passion for building highly scalable, highly reliable services.
• Experience with or exposure to Agile and iterative development processes.
• Experience/background in the Cloud Security.
• Familiarity with Microsoft Azure stack.
• Proven ability to build and maintain cross-functional relationships across teams.
• Solid problem-solving skills, teamwork, and a passion for delivering exceptional user experiences.

#MicrosoftAI #CopilotTeam

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.

• Deeply understand the pipeline of collecting data, training and then serving language models and multimodal models
• Have experience in working side-by-side with researchers and engineers
• Thrive in a fast-paced, innovative environment
• Are passionate about managing high stakes time-sensitive large-scale programs
• Take the initiative and enjoys finding paths through complexity in a fast-paced environment
• Are comfortable owning projects that span offices, teams and time zones, can co-ordinate different workstreams, and drive to relentlessly unblock progress
• Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies

• Identifying and prioritizing language and multimodal model issues and working with researchers to find a path to resolution.
• Creating novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning.
• Creating model prototypes to prove out new feature directions and scope projects.
• Engineering prompts to teach models how to behave across a wide range of scenarios.
• Working closely with researchers and engineers to define and manage engineering and research projects.
• Deploying and tracking AB model experiments in production
• Foster a culture of collaboration, continuous improvement, and growth.
• Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback 
• Advance the AI frontier responsibly 
• Embody our culture and values. 

Required/Minimum Qualifications

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

• Experience managing cross-functional and/or cross-team projects.
• Proven track record as a product manager with firsthand experience evaluating and deploying LLMs into production.
• Experience working side-by-side with Researchers and/or Engineers 
•  

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.

• Deeply understand the pipeline of collecting data, training and then serving language models and multimodal models
• Have experience in working side-by-side with researchers and engineers
• Thrive in a fast-paced, innovative environment
• Are passionate about managing high stakes time-sensitive large-scale programs
• Take the initiative and enjoys finding paths through complexity in a fast-paced environment
• Are comfortable owning projects that span offices, teams and time zones, can co-ordinate different workstreams, and drive to relentlessly unblock progress
• Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies

• Identifying and prioritizing language and multimodal model issues and working with researchers to find a path to resolution.
• Creating novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning.
• Creating model prototypes to prove out new feature directions and scope projects.
• Engineering prompts to teach models how to behave across a wide range of scenarios.
• Working closely with researchers and engineers to define and manage engineering and research projects.
• Deploying and tracking AB model experiments in production
• Foster a culture of collaboration, continuous improvement, and growth.
• Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback 
• Advance the AI frontier responsibly 
• Embody our culture and values. 

Required/Minimum Qualifications

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

• Experience managing cross-functional and/or cross-team projects.
• Proven track record as a product manager with firsthand experience evaluating and deploying LLMs into production.
• Experience working side-by-side with Researchers and/or Engineers 
•  

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.

Required Qualifications: 

Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.


Additional or preferred qualifications

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

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

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

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