Analytics Data Engineer – Health AI
Analytics Data Engineer – Health AI
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At Microsoft AI, we are inventing an AI Companion for everyone – an AI designed with real personality and emotional intelligence that’s always in your corner. Defined by effortless communication, extraordinary capabilities, and a new level of connection and support, we want Copilot to define the next wave of technology. This is a rare opportunity to be a part of a team crafting something that challenges everything we know about software and consumer products.
Our health team is on a mission to help millions of users better understand and proactively manage their health and wellbeing. We’re responsible for ensuring that Microsoft AI’s models and services are useful, trusted and safe across diverse customer health journeys.
We’re looking for a deeply technical and mission-driven Analytics Data Engineer to build the data foundations powering our health AI companion. You’ll architect, scale, and optimize the pipelines, datasets, and metrics frameworks that help us understand user behavior, evaluate model performance, and measure health impact. This role sits at the intersection of engineering, analytics, and applied AI—translating raw signals into insights that shape product decisions and ensure our systems are safe, effective, and grounded in evidence.
You’ll partner closely with product, model, and clinical teams to define data models, build robust ETL workflows, and enable a high-quality analytics environment that supports experimentation, evaluation, and decision-making at scale.
Key Responsibilities
- Design, build, and maintain high-quality data pipelines and models that power analytics, dashboards, and product experimentation across health AI experiences
- Develop and optimize scalable ELT/ETL processes to extract data from multiple structured and unstructured sources (including telemetry, model outputs, and healthcare data integrations)
- Partner with product and clinical counterparts to define source-of-truth datasets and standardized metrics for user engagement, safety, and health outcome evaluation
- Implement monitoring, validation, and alerting systems to ensure data reliability, lineage, and reproducibility across the analytics stack
- Collaborate with ML engineers and model evaluation teams to operationalize evaluation pipelines—supporting automated scoring, HealthBench metrics, and experiment tracking
- Define and maintain data schemas, transformation logic, and documentation to promote transparency and reusability across teams
- Drive continuous improvement in data quality, discoverability, and observability
- Contribute to shaping data infrastructure strategy and tooling to support next-generation health AI systems
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, or related field, OR similar experience.
- Experience with scaled consumer products
- Experience building and maintaining production-grade data pipelines, warehouses, and analytics platforms
- Strong proficiency with SQL and modern data-stack technologies (e.g., dbt, Airflow, Databricks, BigQuery, Snowflake, Spark, or similar)
- Experience designing efficient data models and ETL processes supporting analytical workloads and experimentation
- Proven ability to translate ambiguous data needs into scalable engineering solutions
- Familiarity with data governance, schema design, and principles of data privacy and compliance (HIPAA, de-identification, PHI handling)
- Experience working with Python for data processing, analytics, or pipeline orchestration
Preferred Qualifications
- Experience working in healthcare, digital health, or regulated data environments
- Exposure to large language model (LLM) or generative AI systems, particularly in analytics or evaluation contexts
- Strong understanding of experiment design, metrics definition, and instrumentation in AI-driven products
- Familiarity with tools for workflow orchestration, version control, and CI/CD (e.g., Airflow, Dagster, GitHub Actions)
- Comfort collaborating cross-functionally with product, analytics, and clinical teams in a fast-paced environment
- Curiosity about how AI systems can responsibly improve access to care and health outcomes
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Product Leader – Health AI
Product Leader – Health AI
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At Microsoft AI, we are inventing an AI Companion for everyone – an AI designed with real personality and emotional intelligence that’s always in your corner. Defined by effortless communication, extraordinary capabilities, and a new level of connection and support, we want Copilot to define the next wave of technology. This is a rare opportunity to be a part of a team crafting something that challenges everything we know about software and consumer products.
Our health team is on a mission to help millions of users better understand and proactively manage their health and wellbeing. We’re responsible for ensuring that Microsoft AI’s models and services are useful, trusted and safe across diverse customer health journeys.
We’re on the lookout for a talented and passionate Product Leader to deliver end-to-end experiences for our health AI companion, crafting world-class products that empower users and promote positive health outcomes. This is a player/coach role—setting vision and rolling up your sleeves to ship polished, delightful experiences. You’ll own a key product area, driving end-to-end design from zero-to-one.
Key responsibilities
- Own a product area and be responsible for understanding user needs and behaviors, defining product requirements, managing end-to-end product development within the Microsoft AI consumer health experiences
- Translate business goals into strategy, user experience and technical requirements in close collaboration with UX designers and AI model development teams
- Ability to break large bodies of work into a phased execution plan, and lead a cross-functional team from idea to polished implementation
- Communication and dependency management, scoping and scheduling, and driving implementation in collaboration with cross-functional teams, including engineers, designers, and clinicians
- Define goals and performance indicators, set up and oversee experiments, measure success with data and user research
- Set the bar for excellence and quality to build exceptional consumer-grade product experiences
Required Qualifications
- Bachelors or Masters Degree in Engineering, Computer Science, or Mathematics preferred or similar experience and experience in product management or similar field
- Experience working in healthcare, ideally on healthcare consumer products
- Ability to own your work in a fast-paced, rapid growth environment, manage multiple priorities, and adapt to an ever-changing landscape
Preferred Qualifications
- Experience working with LLMs and/or generative AI, or a demonstrated curiosity and desire to learn
- Experience working in big tech or a scaled consumer product organization
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Technical Program Manager – Responsible AI
Technical Program Manager – Responsible AI
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Overview
Microsoft AI is at the forefront of the responsible development and global deployment of AI to make everyone more informed, capable, and supported. We are creating unique, beautiful and powerful products that will change lives. We are proud of what we build, how we build it and that our products will define the AI era. It is a time of huge change in the AI landscape, and this role will put you right in the heart of it.
As a Technical Program Manager for Responsible AI, you will work closely with teams across Microsoft considering all aspects of AI safety, governance and risk, ensuring that our principles and commitments are met in a timely and product-first manner.
This role, based within a highly agile interdisciplinary team, will allow you to grow and further your deep understanding of all aspects of AI development and deployment both within Microsoft and beyond.
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 achieve 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.
Responsibilities
As a Program Manager for Responsible AI, you will:
- Work as part of a fast-growing, interdisciplinary team of Responsible AI practitioners and with cross-functional teams in the day-to-day delivery and development of Copilot, ensuring that Microsoft’s Responsible AI principles and practices are satisfactorily embedded;
- Partner closely with colleagues in the Office of Responsible AI and Microsoft’s Corporate, External and Legal Affairs (CELA) team to develop, refine and apply innovative governance processes, responsive in part to a dynamic technical and regulatory landscape;
- Serve as a liaison between technical and non-technical stakeholders to ensure shared understanding of Responsible AI objectives;
- Develop and deliver training materials and resources to support Responsible AI awareness and adoption.
Qualifications
Required Qualifications
- Experience working in the Generative AI field in an engineering, product, policy or technical program management role OR equivalent experience;
- Bachelor’s Degree AND/OR experience in product/technical program management OR equivalent experience;
- Experience working on complex cross-functional projects;
- Strong organisational and communication skills; and
- Ability to navigate ambiguity and adapt to rapidly changing environments and demands.
Additional or Preferred Qualifications
- Experience working on complex legal or governance projects in a fast-paced technology setting; and
- Knowledge of relevant regulatory frameworks such as the EU AI Act, GDPR, or similar.
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Product Manager, AI
Product Manager, AI
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At Microsoft AI, we are on a mission to train the world’s most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment. We’re tackling some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world, forming the foundation of many initiatives across Microsoft AI.
As a Product Manager, AI Multimodal, you will work at the nexus of product and research. Your products are the language and multimodal models that power Microsoft Copilot. You will be responsible for balancing product needs with research priorities, ensuring that Copilot’s messages are high quality, factual and safe. You will also be responsible for prioritizing new features and research, working closely with AI researchers to build and execute project plans. In particular, we are looking for candidates who:
- 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
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.
Responsibilities
- 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/service/project/program management or software development
OR equivalent experience.
- 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
Preferred Qualifications:
- Experience managing cross-functional and/or cross-team projects.
#copilot #MicrosoftAI
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
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
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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Member of Technical Staff- Machine Learning Operations Engineer
Member of Technical Staff- Machine Learning Operations Engineer
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Overview:
At Microsoft Copilot, we focus on building the best AI powered products in the world. We’re building applied AI products designed to improve over time and we need someone to architect and build the infrastructure that makes that possible.
As an Machine Learning Operations (MLOps) Engineer, you’ll build the connective tissue between our models and the real world. You’re not just deploying models – you’re building the systems that accelerates model improvement and drives continuous learning from production.
This is a high-impact, high-autonomy role where your infrastructure decisions directly shape product quality and our ability to iterate. If you’ve ever felt frustrated by the gap between ML’s potential and its messy reality in production, this is your chance to close it.
The next wave of AI products won’t win on model architecture alone—they’ll win with robust infrastructure for continuous improvement. You’ll build the infrastructure that makes our AI products genuinely intelligent, not just generative. Every system you create shortens the loop between user feedback and model improvement, directly impacting product quality and user experience.
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.
Responsibilities / What you’ll build:
- Training pipelines that scale elegantly – Design and implement robust training infrastructure that handles everything from data ingestion to model versioning, making it trivial for ML engineers to experiment and deploy with confidence
- The data flywheel – Build the infrastructure and product features that capture user interactions, ground truth labels, and edge cases, then automatically route them back into training loops. Turn every production interaction into a training example
- Inference systems that deliver – Dive deep into model serving architecture—optimize latency, manage costs, implement intelligent caching, and build the observability needed to maintain reliability at scale
- Deployment pipelines with guardrails – Create deployment systems that balance velocity with safety: automated testing, gradual rollouts, performance monitoring, and quick rollback mechanisms
- Cross-functional infrastructure – Partner closely with ML engineers, platform engineers, and data scientists to build APIs and tools that enable tight, rapid feedback loops from production back to model development
Required Qualifications:
- Doctorate in Computer Science, Statistics, Software Engineering, or related field AND 3+ year(s) applied ML engineering experience
- OR Master’s Degree in Computer Science, Statistics, Software Engineering, or related field AND 4+ years applied ML engineering experience
- OR Bachelor’s Degree in Computer Science, Data Engineering, Software Engineering, or related field AND 6+ years applied ML experience,
- OR equivalent experience.
- 6+ years experience building and operating ML systems in production, with real stories about what breaks at scale and how you fixed it
- 5+ years of experience of software engineering fundamentals with experience in distributed systems, containerization (Docker/Kubernetes), and cloud platforms (AWS/GCP/Azure)
- 5+ years of hands-on experience with ML orchestration tools (Airflow, Kubeflow, Metaflow), experiment tracking, model registries, and feature stores
- 5+ years of experience optimizing model inference, wrestled with GPU utilization, and know the tradeoffs between latency, throughput, and cost
Preferred Qualifications:
- Doctorate in Computer Science, Data Engineering, Software Engineering, or related field AND 6+ years data engineering experience (e.g., building ETL pipelines, managing distributed data systems, implementing data quality frameworks)
- OR Master’s Degree in Computer Science, Data Engineering, Software Engineering, or related field AND 8+ years data engineering experience (e.g., building ETL pipelines, managing distributed data systems, implementing data quality frameworks)
- OR Bachelor’s Degree in Computer Science, Data Engineering, Software Engineering, or related field AND 10+ years data engineering experience (e.g., building ETL pipelines, managing distributed data systems, implementing data quality frameworks)
- OR equivalent experience.
- Familiarity with LLM deployment patterns, vector databases, prompt management, and the unique challenges of serving foundation models
- Experience working with RAG, fine-tuning pipelines, or evaluation frameworks
- The ability to see beyond individual components to design holistic systems where data flows naturally from production through improvement cycles and back
- Desire and preference to work at the intersection of teams, translating between ML researchers who want flexibility and engineers who need reliability
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.
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
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
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MTS, Platform Engineer
MTS, Platform Engineer
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Overview
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.
Microsoft AI (MAI) is seeking experienced Platform Engineers to help shape the next wave of capabilities for our personal AI, Copilot. This role involves building user-facing features powered by Generative AI at the core of the Copilot experience, taking full ownership of their development from inception through delivery. We collaborate closely with cross-functional engineering, product management, design, and AI research teams. Operating within a fast-paced, innovative environment, our focus is on creating software systems that effectively bring cutting-edge AI research to production-ready consumer experiences. Ideal candidates possess deep proficiency in infrastructure and platform engineering, employ a methodical and data-driven approach to problem-solving, and contribute positive energy, empathy, and effectiveness to the team daily.
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 U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 3 days a week.
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, develop, and maintain performant and secure AI Platform services that power Copilot.
- Work collaboratively with platform, infrastructure, application engineers, and AI Researchers to build next generation AI products and services.
- Ship high-quality and maintainable code, and ensure the reliability, scalability, and performance of platform components.
- 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.
Qualifications
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.
- Experience leveraging generative AI technologies to develop innovative and user-focused product features.
- 4+ years’ experience building APIs, platforms, and pipelines for large-scale products.
- 4+ years’ experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc..
Preferred Qualifications:
- Experience working with AI platforms, frameworks, and APIs.
- Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.
- Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
- Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
- Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
- Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
- Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
- Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.
- Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
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.
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
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
#MicrosoftAI #Copilot
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Member of Technical Staff, AI Data
Member of Technical Staff, AI Data
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Help build the world’s most advanced multimodal dataset at Microsoft AI
We are on a mission to create the largest and most advanced multimodal dataset in the world. This dataset, spanning all modalities from across the web and beyond, will power the training of the world’s most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment.
The AI Data team at Microsoft AI is responsible for all aspects of data preparation to support our model pre-training operations, including collecting data from the source, extracting and transforming the most useful data, and understanding the impact of changes to data by training and evaluating new models. We are an interdisciplinary team of engineers and scientists, learning from each other, and collaborating to create the best models and products. We work closely with the teams that transform pre-trained models into the models that power the consumer Copilot experience.
We are looking for outstanding individuals excited about contributing to the next generation of systems that will transform the field. In particular, we are looking for candidates who:
- Are passionate about the role of data in large-scale AI model training
- Will thrive in a highly collaborative, fast-paced environment
- Have a high degree of craftsmanship and pay close attention to details
- Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies
- Effectively manage multiple responsibilities and can adjust to shifting priorities.
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 and develop data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video).
- Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models.
- Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation.
- Collaborate with the product team and other engineers and researchers across Microsoft AI to identify gaps in the current generation of models.
- Embody our culture and values.
Required/Minimum Qualifications
- Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work
- OR equivalent experience.
- Expertise in large scale data engineering ideally applied to AI
- Expertise in Spark, Kubernetes or similar.
#copilot #microsoftAI
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Member of Technical Staff – Health AI
Member of Technical Staff – Health AI
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At Microsoft AI, our health team is on a mission to help millions of users better understand and proactively manage their health and wellbeing. We’re responsible for ensuring that Microsoft AI’s models and services are useful, trusted and safe across diverse health journeys. For this role the Microsoft Health AI team is looking for a Member of Technical Staff excited about contributing to the next generation of systems that will transform the field.
We’re assembling a world-class team of builders with backgrounds in healthcare, big tech, and frontier AI research labs. Our goal is to translate cutting-edge research—like MAI-DxO (microsoft.ai/new/the-path-to-medical-superintelligence)—into transformative products for millions of users across copilot.com and Microsoft’s consumer ecosystem.
Across all our hires, it’s important for colleagues to share our enthusiasm about the role of technology and AI in health and healthcare, but also appreciate the challenges and risks of delivering effective solutions in a complex and safety critical space. By design we will remain a lean founding team (albeit within a much larger org), and as such you will need to be highly self-sufficient, and be able to span from high level strategy through to ground-level execution on a wide range of tasks. This also means you will play a major role in cultivating and promoting a positive team culture.
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
MTS-AI’s work across the full AI modelling stack, including prompt design, pre- and post- training, inference, evaluation, LM systems design, and deployment. In this role, you will work across research and engineering boundaries to deliver LLM solutions in healthcare.
You will work in a small team within a broader organisation, designing and validating hypothesis across a cutting edge language modelling stack. Work in these roles will involve a hybrid of research and engineering, and can flex across every aspect of the language modelling stack to make models that are as useful and safe for health as possible.
We are looking for early-hire full-stack candidates who possess:
- Deep, full-stack expertise in designing and evaluating AI applications. Evidence of this may include research papers at top AI conferences and journals, open source projects, industry experience in building production AI stacks.
- Strong intuition about pre/post training, metric design for AI, prompt engineering methodologies, and AI systems design.
- Demonstrated experience in one or more of the following areas: prompt engineering, experimental design, language model evaluations, fine tuning, reinforcement learning/direct preference optimization, data curation, and classic machine learning principles.
Required/Minimum Qualifications
- Bachelor’s Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
- Demonstrated full-stack experience in large-scale AI. Empirical evidence of this in the form of top tier publications, open source contributions, and/or on-the-job work experience.
- Deeper expertise in one or more parts of the AI stack, including prompt engineering, pre-training, fine-tuning, reinforcement learning and direct preference optimization, data curation, LLM inference, orchestration, evaluation pipelines, and deployment.
Additional or Preferred Qualifications
- Ability to flex across research and engineering boundaries, wearing a bit of both hats.
- Passionate about conversational AI and its deployment.
- Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
- Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI.
- Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, colour, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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Member of Technical Staff, Client Engineer – Windows Copilot
Member of Technical Staff, Client Engineer – Windows Copilot
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Overview
Microsoft AI (MAI) is seeking experienced client engineers to help build the next wave of capabilities for Copilot. We’re looking for someone who possesses technical prowess, a methodical approach to problem-solving and proficiency in client technologies. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. The Windows Copilot team is responsible for creating experiences that demonstrate the power Copilot can bring to Windows, large screens and productivity scenarios. In this role you will play a critical role in designing, developing, and implementing cutting-edge solutions while collaborating with Platform, Product Management, Design and Research teams.
Our newly formed organization, 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.
By applying to this U.S. Redmond, WA position, you are required to be local to the Seattle area in office 3 days a week.
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 and develop client applications and components to support Copilot experiences.
- Work collaboratively with platform, infrastructure, application engineers and researchers to build next generation AI products and services.
- Ship high-quality, well-tested, secure, and maintainable code.
- Overcome obstacles to deliver work quickly and iteratively to users
- Enjoy working in a fast-paced, design-driven, product development cycle.
- Embody our Culture and Values.
Qualifications
Required Qualifications:
- Bachelor’s degree in computer science, or related technical discipline AND 4+ years technical engineering experience building applications including, but not limited to, Python, C#, C++, .NET, XAML
- OR equivalent experience.
- Proven track record of delivering high-quality software solutions in a fast-paced multidisciplinary environment
- 4+ years’ experience building secure, performant and well architected applications that demonstrate a focus on data driven iteration and improvement.
Preferred Qualifications:
- Bachelor’s degree in computer science, or related technical discipline AND 6+ years technical engineering experience building applications including, but not limited to, Python, C#, C++, .NET, XAML, Kotlin, Swift
- OR equivalent experience.
- Experience working with Windows debugging tools such as WinDBG, Sysinternals, etc.
- Experience working with AI platforms, frameworks, and APIs.
- Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
- Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
- Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers, while clearly communicating complex technical concepts to both technical and non-technical stakeholders.
- Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines, while collaborating and contributing to a positive, inclusive work environment that fosters knowledge sharing and growth within the team.
Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $117,200 – $229,200 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 $153,600 – $250,200 per year.
Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $137,600 – $267,000 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 $180,400 – $294,000 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
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
#MicrosoftAI #Copilot
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Commissioning Editor
Commissioning Editor
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Overview
Microsoft AI is the organization within Microsoft that encompasses Copilot, Bing, Edge and fundamental AI. It’s designed to create the world’s most compelling and successful consumer artificial intelligence (AI) products and models. If successful in our mission to produce an AI companion for everyone, this will have a profound impact on society, changing everything from health and education to social relationships and work. Working from within MAI’s Futures team and operating out of the Office of the MAI CEO, we are now looking to establish a new leading publication with a distinct brand identity to understand this shift and discuss it in an independent framework.
We are looking for a seasoned Commissioning Editor to lead commissioning and editorial for the new journal—curating and cultivating compelling longform and shorter pieces from both renowned voices and emerging thinkers across the landscape of AI, tech, academia, journalism, policy and beyond. This is a role for someone who lives at the intersection of intellectual rigor and editorial instinct: able to spot the next great idea before it breaks, persuade high-profile contributors to join the conversation, and shape a distinct voice for the journal through elegant, provocative content. With a focus on written work but with scope for multimedia formats, the Commissioning Editor will craft a journal that earns its reputation through insight, clarity, and cultural relevance, capable of balancing the needs of Microsoft AI and a flourishing, distinct editorial vision.
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.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
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
- Develop original topic ideas and thematic arcs balancing a range of needs. Identify and recruit leading and upcoming voices from academia, journalism, tech, and policy, cultivating relationships with the best writers, thinkers, doers and agents.
- Hit content targets for the journal on a limited budget, from initial idea or submission to final publication, maintaining a balance of longform depth and shortform agility across the calendar (with 12 longform pieces being the anchor, alongside a similar number of shorter pieces alongside op-eds and updates). Coordinate and own the editorial calendar, including thematic issues.
- Provide developmental feedback and editorial guidance pre- and post-submission, ensuring clarity, coherence, and originality in commissioned pieces.
- See that pieces make it live on the content management system.
- Help build a distinct, respected brand for the publication, representing MAI in the world of media and ideas. Contribute to the messaging, marketing and socials.
- Collaborate and sometimes lead on formats like podcasts, an annual print special, convenings, lectures and occasional video amongst others, ensuring cross-platform cohesion in brand, editorial standards and storytelling tone.
- Understand and own the engagement metrics for the core content.
- Apply yourself to a range of urgent questions, tasks related to comms, brand, events and editorial as needed across the Office of Microsoft AI’s CEO.
- Embody our culture and values.
Qualifications
Required/Minimum Qualifications (RQs/MQs)
- 5+ years’ experience in digital content publishing/management, writing or editing at a leading publication
- OR equivalent experience.
- 5+ years’ experience in leading editorial strategy and content development, from ideation to publication and recruiting top contributors.
- 5+ years’ experience managing editorial calendars, providing developmental feedback, and ensuring cross-platform brand consistency across digital, print, and event formats.
Additional or Preferred Qualifications (PQs)
- Experience and/or interest in AI or technology more widely.
- Work on a publication with academic and thought leadership kudos and a strong digital presence.
- Track record of building a media brand from a starting position, with a demonstrable record of doing a range of tasks to ensure its success.
- Ability to collaborate across multiple teams and levels while also contributing to a positive work environment, fostering knowledge sharing and growth within the team.
- Journalistic experience.
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
Content Program Management 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
Microsoft accepts applications and processes offers for these roles on an ongoing basis.
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