Member of Technical Staff – Product Engineer
Member of Technical Staff – Product Engineer
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Overview
At Microsoft, we are at the forefront of technological innovation, creating powerful tools and products that transform the way people live and work. We are seeking passionate and talented full-stack Product Engineers to join our multimodal team. As part of our mission, you will play a key role in crafting user experiences that highlight new applications of state-of-the-art AI models shaping the future.
Our team is small, fast-paced, and collaborative, committed to excellence in every aspect of our work. We value creativity, efficiency, and a user-first approach, ensuring that every decision we make is grounded in real-world evidence. This is an opportunity to work on products with immediate and far-reaching impact, placing you at the core of a rapidly evolving AI landscape.
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.
Responsibilities
- Product Development & Feature Implementation: Design and deliver end-to-end consumer AI experiences and internal tools by leveraging TypeScript, Python, C#, and React.
- Collaboration: Work closely with AI researchers, product managers, and engineers to define requirements, scope projects, and deliver high-impact solutions.
- Data Handling: Build and optimize data pipelines (using Python) for collecting, processing, and analyzing large volumes of data used for training and evaluating AI models.
- Culture & Values: Actively contribute to a positive, inclusive, and collaborative team culture, embodying Microsoft’s values of respect, integrity, and accountability in your daily work.
Required Qualifications
- Bachelor’s Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to TypeScript, Python, C#, C, C++, Java OR equivalent experience.
- Experience in building and deploying web-based tools or applications.
Preferred Qualifications
- Experience with React JS or other modern JavaScript frameworks.
- Experience with modern backend frameworks such as .NET or Node.js.
- Experience in software development, with a focus on building end to end AI consumer products.
- Demonstrated understanding of data structures, algorithms, and software design principles.
- Demonstrated ability to collaborate effectively with cross-functional teams, including product management, AI research, and engineering.
- 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.
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Member of Technical Staff – Platform Engineer
Member of Technical Staff – 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 build the next wave of capabilities of our personal AI, Copilot. We’re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in backend technologies, and a mastery of templating to architect solutions that stand the test of time and 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. The team is responsible for building platforms that support our work in training models and deploying the core experience of Copilot, while collaborating with our Product Management, Design and AI Research 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.
Responsibilities
- Build secure and performant AI Platform services that power Copilot.
- Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation AI products and services.
- 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.
Required Qualifications
- Bachelor’s degree in computer science, or related technical discipline AND technical engineering experience building web applications with coding in languages including, but not limited to, Python, Golang, C# OR equivalent experience.
- 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 multimodal 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.
- Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.
- Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
- Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
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Product Manager, Multimodal
Product Manager, Multimodal
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Help deliver one of the best foundational models in the world at Microsoft AI.
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
- Minimum of Bachelor’s Degree AND experience in working with AI researchers, product/technical program management, data analysis, or product development OR equivalent experience.
- Experience managing cross-functional and/or cross-team projects.
- Proven track record as a Product Manager with first-hand experience evaluating and deploying LLMs into production.
- Experience working side-by-side with Researchers and/or Engineers
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
#copilot #MicrosoftAI
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Principal Designer – Health AI
Principal Designer – 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.
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 customer health journeys.
We’re on the lookout for a talented and passionate Principal Product Designer 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
- Ship world-class AI applications that delight consumers with an emphasis on craft, quality, trust, and positive user and societal impact
- Own a product area and be responsible for understanding user needs and behaviors, defining product requirements, managing end-to-end product development, launches and iterations.
- Cross-functional communication and dependency management, scoping and scheduling, and seeing through implementation by collaborating with engineering through the finish line.
- Find your own path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
- Set the bar for excellence and quality and hold the team accountable to that standard
- Enjoy working in a fast-paced, design-driven, product development cycle.
- Translate business goals into strategy, user experience and technical requirements in close collaboration with UX designers and AI model training teams.
- Define goals and performance indicators, set up and oversee experiments, measure success with data and research.
- Collaborate effectively and communicate clearly with cross-functional teams, including product managers, designers, and other engineers, to build exceptional consumer-grade applications.
Required Qualifications
- Bachelor’s Degree in Industrial Design, Product Design, Human Computer Interaction, User Experience, Interaction Design, or related field AND experience working in product or service design OR equivalent experience (e.g., demonstrated experience working in product or service design or using design thinking to solve problems)
- Ability to collaborate effectively with engineering to ensure details make it to the hands of the user
- Experience that demonstrates proven ability to advocate for design thinking, influence design outcomes, discover problems and tackle them in fast-paced and ambiguous environments
- Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
- Ability to own your work in a fast-paced. start-up like environment, manage multiple priorities, and adapt to ever-changing requirements and deadlines
- A portfolio or work samples that demonstrate shipping world class consumer products from vision through launch
Preferred Qualifications
- Proven track record of setting design vision for innovative products that require bold thinking and risk taking
- Ability to break large bodies of work into a phased execution plan, and lead a cross-functional team from idea to polished implementation
- Experience with diving into research and leveraging both qualitative and quantitative signals for design impact
- Experience prompting LLMs, working with generative AI, or a demonstrated curiosity and desire to learn
*Please submit a link to your portfolio when applying to this role.
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Data Science Lead – Health AI
Data Science Lead – 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 Data Science Lead 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 Manager – Health AI
Product Manager – 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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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 – Principal AI Engineer, Health
Member of Technical Staff – Principal AI Engineer, Health
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Overview
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 customer health journeys. Our goal is to translate cutting-edge research—like MAI-DxO—into transformative products for millions of users across Copilot.com and Microsoft’s consumer ecosystem.
About the role
You’ll sit between our research team and product engineering—prototyping breakthrough features, designing evaluation frameworks, and shipping safe, trusted health AI experiences. This isn’t a pure research role or a pure engineering role. It’s for a builder who thrives in the messy middle where frontier AI meets real users.
In this role you will;
- Bridge research and product: Translate cutting-edge AI research into prototypes and product opportunities. Shape roadmaps with both teams to define the future of consumer health AI.
- Build evaluation systems: Design frameworks and infrastructure that measure model quality, safety, and utility in healthcare contexts. Create reproducible pipelines that scale across the organization.
- Ship prototypes rapidly: Experiment with agent architectures, prompting techniques, and new interaction paradigms. Build demos that help teams evaluate feasibility and user value.
- Drive decisions with data: Interpret evaluation results and present actionable recommendations to leadership, researchers, and product teams. Advocate for evidence-based product decisions.
- Lead through expertise: Stay current with frontier AI research and healthcare applications. Mentor teammates and shape technical direction through deep domain knowledge.
Required experience/qualifications;
- Have extensive experience building in AI/ML with strong technical fundamentals
- Bring deep LLM expertise: evaluation frameworks, RLHF, model training pipelines, and agent architectures
- Bachelor’s or Higher Degree in Computer Science, or related technical discipline AND significant Python programming experience / machine learning research.
- Have proven track record of building LLM agents and applications—from prompt engineering to production deployment
- Have shipped 0-to-1 prototypes that influenced product decisions
- Can translate complex technical concepts across research, engineering, and product teams
- Thrive in ambiguous, fast-moving environments while maintaining high quality standards
- Have knowledge of AI safety and responsible AI practices
- Have healthcare or clinical informatics background (preferred)
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