As a Principal Data Science and Analytics in the team, your major responsibilities include:  

• Leadership: Mentor data scientists and align work with MAI ecosystem goals, driving technical excellence, innovation, and cross-team collaboration.  
• Data Strategy & Execution: Develop ecosystem data strategies for marketplace and system performance, including standardized data collection, analysis, reporting, and interpretation; validate analytical approaches and results.  
• Advanced Analytics & Measurement: Apply machine learning, statistical modeling, data mining, and experimentation to large datasets; define and deliver metrics that accurately measure user and business value across products and marketplace components.  
• Experimental Design & Implementation: Design and execute experiments across user and demand dimensions; translate strategy into clear, actionable, and measurable plans, sharing progress and results with stakeholders.  
• Collaboration: Partner closely with product, program management, engineering, and business teams to integrate data science solutions into shared platforms and marketplace operations.  
• Performance Optimization: Identify cross-team opportunities for product and process improvement; implement data-driven solutions to improve efficiency, reliability, and user experience.  
• Influence & Decision-Making: Engage stakeholders with clear, compelling, and actionable insights; make independent decisions for the team and handle complex tradeoffs to drive product and service improvements.  
• Technical & Operational Leadership: Develop and standardize processes for data acquisition, quality, and operationalizing ML models; provide expert review of analysis and modeling; lead adoption of new tools and technologies to improve availability, reliability, efficiency, and performance.  
• Standards & Trusted Advisory: Establish and uphold standards, policies, and best practices for high-quality, efficient, and extensible code; influence business, customer, and solution strategy with a solid customer focus; act as a trusted advisor across the ecosystem.

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.

Preferred Qualifications: 

#MicrosoftAI 

Data Science 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.

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.

Overview

Microsoft AI is building Consumer Copilot—a new kind of everyday AI companion. Our mission is simple and ambitious: create the best consumer AI platform in the world. That means shipping fast, earning trust, and raising the bar for quality at global scale.

We’re hiring a Member of Technical Staff, Developer Experience to help the engineers behind Copilot move with speed and confidence. You’ll shape the end-to-end developer experience—requirements through design, implementation, testing, evaluation, and release—so teams can deliver customer value in days, not months. You’ll also iterate on the evals that keep our coding agents reliable, scalable, and aligned with maintainable software engineering practices.

On the Consumer Copilot development team, you’ll build the engineering foundation that makes bold product bets possible. You’ll improve the CI/CD system that powers our codebase, build tools that streamline multi-client development, and strengthen cloud infrastructure so we can ship high-quality Copilot experiences quickly and safely—at the scale consumers expect.

This is a high-impact role: your work will directly improve engineering velocity, reliability, and product quality across Copilot. You’ll set best practices, influence architecture, and help define the roadmap for the systems that enable rapid iteration—so great ideas reach users faster, with fewer regressions and higher trust.

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

Responsibilities

• Design, implement, and optimize CI/CD pipelines for Microsoft Copilot

• Build developer tools and automation to simplify and expedite product development

• Improve and maintain core infrastructure across multi-cloud environments. 

• Collaborate with cross-functional teams to drive best practices in reliability, testability, and performance. 

• Care deeply software development processes and efficiencies.

• Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.  

• 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 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 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, 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, C++, C#, Java, JavaScript, or Python 
• OR equivalent experience

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.

We are hiring a Principal Tech Lead Manager to own and grow Copilot’s image generation capabilities. This is a high-impact, high-ownership role at the intersection of frontier model integration, evaluation science, and product quality. This role sits at the heart of one of Copilot’s most visible and fast-growing features.

You will set the technical direction for image generation, lead a team of Applied AI engineers and platform engineers, and drive measurable improvements in image quality, user satisfaction, and first-run success. You will also be responsible for growing the team by identifying, recruiting, and onboarding the engineers needed to take these capabilities to the next level.

Technical Leadership & Vision

• Define and own the end-to-end technical roadmap for Copilot image generation — from prompt understanding and model integration to evaluation, quality, and reliability.
• Establish architectural best practices for image generation pipelines, including prompt conditioning, safety filtering, multimodal grounding, and user personalization.
• Partner with research, product, and infrastructure teams to translate long-horizon vision into executable milestones.
• Serve as the primary technical decision-maker for model selection, integration approaches, and evaluation strategy.

Image Generation Product & Model Delivery

• Lead the integration, evaluation, and launch of new image generation models and capabilities into Copilot surfaces.
• Drive improvements to first-run success rate, image quality, prompt adherence, and overall user satisfaction with generated images.
• Build and own the feedback loop from user signals to model and prompt iteration. Close the loop from production data to systematic improvements.
• Identify and resolve failure modes in image generation including safety gaps, quality regressions, prompt misinterpretation, and accessibility issues.

Evaluation, Hillclimbing & Quality Systems

• Architect and scale evaluation frameworks purpose-built for image generation: aesthetic quality, safety, prompt fidelity, diversity, and user preference.
• Lead competitive benchmarking against peer systems, establishing clear metrics to track progress and signal investment areas.
• Run systematic hillclimbing loops across models, prompts, and post-processing strategies to drive continuous quality improvement.
• Build tooling that enables rapid experimentation and tight iteration cycles for the broader AI org.

Team Building & People Leadership

• Hire, onboard, and grow a high-performing team of Applied AI Engineers and ML practitioners focused on image generation.
• Set clear goals and success criteria for direct reports; invest in their development through coaching, feedback, and stretch opportunities.
• Partner with recruiting to define hiring criteria, run structured interviews, and represent the team’s needs in headcount planning.
• Create and maintain a culture of ownership, experimentation, and rigorous quality standards.

Cross-Functional Collaboration

• Work closely with PM, design, safety, and research leadership to translate ambiguous product goals into technical strategies.
• Coordinate across Copilot platform, backend, and frontend teams to ensure smooth integration of image generation capabilities.
• Communicate technical progress, risks, and decisions clearly to senior leadership and stakeholders.

Required

• 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

• Master’s degree or PHD or equivalent experience in Computer Science, Applied Math, Statistics, or a related field.
• 5+ years of industry experience in applied ML, AI product engineering, or related disciplines.
• 1+ years managing a team of engineers or data scientists.
• Demonstrated experience shipping production AI or ML systems at scale.
• Prior experience leading or mentoring engineers, including at formal tech lead and senior IC responsibilities.
• Hands-on experience building evaluation frameworks or quality systems for AI/ML products.
• Track record of driving measurable quality or performance improvements through systematic iteration.
• Direct experience with image generation models (diffusion models, GANs, multimodal models, etc.).
• Experience building and owning hillclimbing infrastructure for generative AI.
• Formal people management experience, including hiring and performance management.
• Experience working on consumer AI products with high user visibility and quality bar.
• Prior work in responsible AI for generative media, including safety filtering and content policy enforcement.

Image generation is one of the fastest-growing and most visible capabilities in Copilot. This role offers a rare combination: deep technical ownership of a hard problem, direct impact on a product used by hundreds of millions of people, and the opportunity to build and lead a team from the ground up. You will own something that matters and have the scope, resources, and organizational support to make it exceptional.

Data Science 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

Data Science M4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

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

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

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

We’re hiring a Senior Applied AI Engineer, Image Generation to join a fast‑moving, high‑ownership team building next‑generation AI assistant and productivity capabilities. This role blends LLM product engineering, evaluation science, hillclimbing, and internal tool building with the pace and creativity of a startup.

The primary focus for this role will be on building the best image generation product out there. You’ll get to experiment with all sorts of models from open source to SOTA developed at Microsoft. You’ll work through some of the most challenging multimodal problems that exist today while shipping improvements to customers daily.

Model Development & Training

• Train, fine-tune, and evaluate image generation models (diffusion, GAN, transformer-based)
• Implement and adapt techniques from research papers into working production systems
• Design and run experiments to improve image quality, diversity, and controllability
• Curate, clean, and manage large-scale image-text training datasets

Evaluation, Hillclimbing & Quality Systems

Build and maintain evaluation frameworks for correctness, safety, grounding, and UX quality.

• Run hillclimbing loops across prompts, models, and tool‑use strategies to continuously improve assistant performance.
• Analyze failure modes, design mitigations, and drive systematic improvements across the stack.

LLM Tooling & Internal Infrastructure

• Develop internal tools for prompt experimentation, model comparison telemetry and debugging automated eval pipelines
• Create reusable frameworks that accelerate the entire AI org’s ability to ship high‑quality assistant features.

Applied ML & Product Integration

• Integrate LLMs with product surfaces, APIs, and backend systems.
• Build lightweight ML components (ranking, classification, summarization, personalization) that enhance assistant intelligence.
• Collaborate with PM, design, and research to turn ambiguous ideas into polished user experiences.

High‑Velocity Teamwork

Operate with startup‑founder energy: bias for action, rapid iteration, and comfort with ambiguity.

• Work closely with researchers, engineers, and product leaders in a fast‑moving AI team where ideas ship quickly and impact is immediate.
• Contribute to a culture of experimentation, clarity, and high‑quality execution.
• Build prompt architectures, system instructions, and orchestration logic that ensure reliability, grounding, and personality consistency.
• Prototype new capabilities rapidly and iterate based on user signals and evaluation data.

Production & Infrastructure

• Optimize models for inference latency, throughput, and cost (quantization, distillation, batching)
• Build and maintain serving pipelines for real-time and batch image generation
• Develop APIs and SDKs that expose image generation capabilities to downstream teams/products
• Monitor model performance in production; debug quality regressions

Required Qualifications

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred Qualifications

• Master’s Degree AND 3+ years of experience in engineering, problem solving, model building, evaluation, data analysis OR equivalent experience.
• PhD in engineering, applied math, statistics, or related analytical field.
• 2+ years shipping production-level code, models, or data analysis.
• 1+ years using AI-assisted coding and analysis techniques.
• Solid grasp of deep learning: loss functions, optimization, regularization, training stability
• Experience deploying ML models at scale (inference optimization, quantization, distillation)
• Familiarity with image preprocessing pipelines, data augmentation, and dataset curation
• Experience working on small teams and mid-stage startup environments.
• Experience working on AI products.
• 4+ years shipping production-level code, models, or data analysis.
• Deep experience building from zero-to-one.
• Experience with RLHF / DPO for aligning image models to human preferences
• Knowledge of safety/content filtering for generated images
• Hands on work hillclimbing AI evaluations.

Data Science 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

Data Science 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.

Microsoft AI is looking for a talented Backend engineer to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment.

This team is responsible for building and scaling the core backend platform – Orchestrator, Inference and APIs that power Consumer Copilot—enabling rapid development, deployment, and iteration of AI-powered features and experiences while collaborating with our Product Management, Design, Data Scientists, and AI Research teams to deliver impactful results.

Our newly formed organization, Microsoft AI (MAI), is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing.

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 APIs that power Copilot apps.
• Work collaboratively with other product engineers, Product Managers, and platform engineers
  to take ambiguous projects and mold them into amazing experiences.
• Ship high-quality, well-tested, secure, and maintainable code.
• Find a path to get things done despite roadblocks to get your work into the hands of users
  quickly and iteratively.
• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.

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.

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.