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Member of Technical Staff – Software Engineer, Health AI Member of Technical Staff – Software Engineer, Health AI

Location
London, United Kingdom
Job Number
200034340-en-2
City
London
Team
Health
Country
United Kingdom
Discipline
Software Engineering
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.
 
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.
 
We’re looking for engineers who are self-starters, care deeply about user experience, and take pride in solving real customer needs. You’ll collaborate in a fast-paced, iterative environment to bring innovative technology to life, with safety, reliability, and scale front and centre.
 
We’re hiring across multiple domains: backend, web, mobile, and GenAI. If you have a strong technical spike in one or more of these areas and a proven track record of crafting high-impact user experiences, we’d love to hear from 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.
 
Responsibilities
  • – Collaborate with AI researchers, product managers, and designers to bring a world-class AI health companion to the world.
  • – Own the end-to-end development of features, from ideation and specification through to deployment and iteration.
  • – Design, build, and optimize production-grade code, delivering robust features within a much larger existing architecture.
  • – Work independently across a wide range of our stack, shipping delightful user experiences.
  • – Ensure resilience, maintainability, and security above all else.
  • – Build the hiring pipelines, onboarding frameworks, or software development best practices as needed to scale an engineering team around you.
  • – Guide peers, contributing to a culture of technical excellence and continuous improvement.
Required Qualifications:
  • – Bachelor’s or Higher Degree in Computer Science, or related technical discipline AND strong software engineering experience with coding in languages/frameworks including, but not limited to, C#, C, C++, Java, Python, Rust, Typescript, Swift, Kotlin.
  • – Demonstrated expertise building products at scale, with domain expertise in one or more of distributed systems, cloud infrastructure, web, mobile, GenAI.
  • – Experience collaborating in cross functional teams, working through ambiguity to deliver high quality products.
  • – Have 0 to 1 experience with a bias towards shipping and learning, while balancing a high-quality bar.
  • – Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
Preferred qualifications:
  • – Experience in healthcare technology, particularly with regulated medical devices.
  • – 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 and patterns in AI.
  • – Experience developing and improving evaluation methodologies for assessing quality of LLM-based products.

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.

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Member of Technical Staff – Software Engineer, Health AI Member of Technical Staff – Software Engineer, Health AI

Location
London, United Kingdom
Job Number
200034340-en-1
City
London
Team
Health
Country
United Kingdom
Discipline
Software Engineering
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.
 
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.
 
We’re looking for engineers who are self-starters, care deeply about user experience, and take pride in solving real customer needs. You’ll collaborate in a fast-paced, iterative environment to bring innovative technology to life, with safety, reliability, and scale front and centre.
 
We’re hiring across multiple domains: backend, web, mobile, and GenAI. If you have a strong technical spike in one or more of these areas and a proven track record of crafting high-impact user experiences, we’d love to hear from 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.
 
Responsibilities
  • – Collaborate with AI researchers, product managers, and designers to bring a world-class AI health companion to the world.
  • – Own the end-to-end development of features, from ideation and specification through to deployment and iteration.
  • – Design, build, and optimize production-grade code, delivering robust features within a much larger existing architecture.
  • – Work independently across a wide range of our stack, shipping delightful user experiences.
  • – Ensure resilience, maintainability, and security above all else.
  • – Build the hiring pipelines, onboarding frameworks, or software development best practices as needed to scale an engineering team around you.
  • – Guide peers, contributing to a culture of technical excellence and continuous improvement.
Required Qualifications:
  • – Bachelor’s or Higher Degree in Computer Science, or related technical discipline AND strong software engineering experience with coding in languages/frameworks including, but not limited to, C#, C, C++, Java, Python, Rust, Typescript, Swift, Kotlin.
  • – Demonstrated expertise building products at scale, with domain expertise in one or more of distributed systems, cloud infrastructure, web, mobile, GenAI.
  • – Experience collaborating in cross functional teams, working through ambiguity to deliver high quality products.
  • – Have 0 to 1 experience with a bias towards shipping and learning, while balancing a high-quality bar.
  • – Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
Preferred qualifications:
  • – Experience in healthcare technology, particularly with regulated medical devices.
  • – 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 and patterns in AI.
  • – Experience developing and improving evaluation methodologies for assessing quality of LLM-based products.

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.

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Member of Technical Staff – Mobile Engineer, Health AI Member of Technical Staff – Mobile Engineer, Health AI

Location
London, United Kingdom
Job Number
200034671-en-2
City
London
Team
Health
Country
United Kingdom
Discipline
Software Engineering
Overview
Microsoft AI is looking for a talented Mobile Engineer (iOS or Android) to help build the next generation of health capabilities for Copilot — our personalized AI companion. Within the Health AI team, our mission is to help millions of people better understand and proactively manage their health and wellbeing. We are responsible for ensuring that Microsoft AI’s models and services are useful, trusted, and safe across diverse customer health journeys, translating cutting‑edge research into real‑world products used by millions across Copilot and Microsoft’s consumer ecosystem. Take a look here to see the progress: Introducing Copilot Health

As part of the Product Engineering team, you will build and evolve the core Copilot experience across iOS or Android — collaborating closely with Product Management, Design, AI Research, and clinical teams. 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. 

You’ll operate in a fast‑paced, iterative environment to bring innovative mobile‑first AI experiences to life — helping bridge advanced research and product delivery to shape the future of personal health computing. Microsoft AI spans Copilot, Bing, Edge, and generative AI research, and is dedicated to advancing consumer AI products that empower every person and every organization on the planet to achieve more. We operate with a growth mindset and build on our values of respect, integrity, and accountability — creating a culture of inclusion where everyone can thrive.


Responsibilities
  • Care deeply about building outstanding, consumer‑grade mobile applications
  • Build and ship high‑quality iOS or Android applications for Copilot
  • Write well‑tested, secure, maintainable code with strong engineering fundamentals
  • Partner closely with Designers, Product Managers, and AI Researchers to turn ambiguous ideas into polished user experiences
  • Navigate ambiguity and roadblocks to deliver value to users quickly and iteratively
  • Thrive in a fast‑paced, design‑driven product development cycle
  • Embody Microsoft’s Culture and Values


Required Qualifications

  • Bachelor’s Degree in Computer Science or a related technical field or similar experience building mobile applications
  • Strong coding experience in one or more of:
    • iOS: Swift, Objective‑C
    • Android: Kotlin, Java
  • Experience shipping production mobile apps used by customers


Preferred Experience

  • Advanced degree or equivalent senior‑level industry experience
  • Experience building mobile applications from scratch
  • Strong understanding of mobile architecture, design patterns, and UI/UX principles
  • Contributions to open‑source projects
  • Excellent written and verbal communication skills; proven ability to work cross‑functionally
  • Passion for learning and staying current with mobile development, AI, and emerging technologies
  • Demonstrated ability to contribute to a positive, inclusive engineering culture

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.

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Member of Technical Staff – Mobile Engineer, Health AI Member of Technical Staff – Mobile Engineer, Health AI

Location
London, United Kingdom
Job Number
200034671-en-1
City
London
Team
Health
Country
United Kingdom
Discipline
Software Engineering
Overview
Microsoft AI is looking for a talented Mobile Engineer (iOS or Android) to help build the next generation of health capabilities for Copilot — our personalized AI companion. Within the Health AI team, our mission is to help millions of people better understand and proactively manage their health and wellbeing. We are responsible for ensuring that Microsoft AI’s models and services are useful, trusted, and safe across diverse customer health journeys, translating cutting‑edge research into real‑world products used by millions across Copilot and Microsoft’s consumer ecosystem. Take a look here to see the progress: Introducing Copilot Health

As part of the Product Engineering team, you will build and evolve the core Copilot experience across iOS or Android — collaborating closely with Product Management, Design, AI Research, and clinical teams. 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. 

You’ll operate in a fast‑paced, iterative environment to bring innovative mobile‑first AI experiences to life — helping bridge advanced research and product delivery to shape the future of personal health computing. Microsoft AI spans Copilot, Bing, Edge, and generative AI research, and is dedicated to advancing consumer AI products that empower every person and every organization on the planet to achieve more. We operate with a growth mindset and build on our values of respect, integrity, and accountability — creating a culture of inclusion where everyone can thrive.


Responsibilities
  • Care deeply about building outstanding, consumer‑grade mobile applications
  • Build and ship high‑quality iOS or Android applications for Copilot
  • Write well‑tested, secure, maintainable code with strong engineering fundamentals
  • Partner closely with Designers, Product Managers, and AI Researchers to turn ambiguous ideas into polished user experiences
  • Navigate ambiguity and roadblocks to deliver value to users quickly and iteratively
  • Thrive in a fast‑paced, design‑driven product development cycle
  • Embody Microsoft’s Culture and Values


Required Qualifications

  • Bachelor’s Degree in Computer Science or a related technical field or similar experience building mobile applications
  • Strong coding experience in one or more of:
    • iOS: Swift, Objective‑C
    • Android: Kotlin, Java
  • Experience shipping production mobile apps used by customers


Preferred Experience

  • Advanced degree or equivalent senior‑level industry experience
  • Experience building mobile applications from scratch
  • Strong understanding of mobile architecture, design patterns, and UI/UX principles
  • Contributions to open‑source projects
  • Excellent written and verbal communication skills; proven ability to work cross‑functionally
  • Passion for learning and staying current with mobile development, AI, and emerging technologies
  • Demonstrated ability to contribute to a positive, inclusive engineering culture

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.

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Principal Product Designer, AI Experiences Principal Product Designer, AI Experiences

Location
London, United Kingdom
Job Number
200034723-en-1
City
London
Team
Microsoft Superintelligence
Country
United Kingdom
Discipline
Product Design
Overview

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 are looking for a designer who builds. You’ll own the end-to-end user experience for our most visible AI product surfaces — MM Labs, Playground, marketing pages, and model specification tools — taking concepts from rough sketch to polished, shipped product. This is not a role where you hand off mockups and wait. You will use AI-native tools and agentic coding workflows to move from Figma to working prototypes to production-quality frontend, compressing the traditional design-to-engineering handoff into a single, fast loop.
You come from a design background — you have strong graphic design instincts, a refined sense of aesthetic taste, and deep experience in interaction design. But you’ve also embraced the AI-native workflow revolution: you use tools like Cursor, GitHub Copilot, v0, or similar agentic coding assistants to prototype, iterate, and ship UI at a pace that would have been impossible two years ago. You’re not a frontend engineer who picked up design — you’re a designer who has dramatically expanded what you can deliver by leveraging AI.
This is a small team that prizes ownership and craft. You will ship your own work, regularly. Your designs will be used by researchers, engineers, and external users interacting with frontier AI models. The bar for quality is extremely high, and the pace is fast.



Responsibilities
  • Own the UX for flagship AI surfaces: Design and ship the end-to-end user experience for MM Labs, Playground, marketing pages, and model specification tools — from information architecture and interaction flows to pixel-level visual polish.
  • Design and build: Use AI-native workflows (Cursor, GitHub Copilot, v0, or equivalent agentic coding tools) to move fluidly from design concepts to working prototypes and production-quality frontend code. Own the UI layer end-to-end when needed.
  • Prototype at speed: Rapidly produce interactive, high-fidelity prototypes to test new interaction paradigms for multimodal, agentic, and copilot-style AI experiences. Use AI tools to compress iteration cycles from days to hours.
  • Elevate visual craft and interaction quality: Apply strong graphic design foundations — typography, layout, color, motion — to create experiences that feel polished, intentional, and trustworthy. Sweat the details that make AI feel human.
  • Partner with model designers and researchers: Collaborate closely with model designers (who shape how the AI speaks and behaves) and researchers (who build the underlying capabilities) to ensure the UX faithfully represents model personality and strengths.
  • Inform design systems: Contribute to and extend shared design systems, component libraries, and interaction patterns — ensuring consistency across surfaces while pushing the craft forward.
  • Drive design through data and user insight: Use both qualitative and quantitative signals (user research, analytics, A/B experiments) to validate design decisions and iterate. Bring evidence, not just intuition.
  • Automate your own workflow: Continuously explore and adopt new AI tools, plugins, and workflows that make you faster and more capable. Share what you learn with the team.


Qualifications

Required Qualifications

  • Bachelor’s Degree in Product Design, Graphic Design, Human-Computer Interaction, Interaction Design, or related field AND 5+ years experience in product or service design OR Master’s Degree in a related field AND 3+ years experience OR equivalent experience.
  • A portfolio demonstrating exceptional visual design craft and interaction design — with shipped products, not just concepts
  • Demonstrated use of AI-native design and prototyping workflows: you actively use agentic coding tools (e.g., Cursor, GitHub Copilot, v0, Bolt, or similar) to produce working UI, not just static mockups
  • Ability to write or direct frontend code (HTML/CSS/JavaScript/React or equivalent) using AI coding assistants — you don’t need to be a software engineer, but you can ship production-quality UI with AI tools
  • Strong foundations in graphic design: typography, layout, color theory, and visual hierarchy
  • Experience designing for web-based tools, developer-facing products, or AI/ML interfaces
  • Track record of shipping products end-to-end with high craft and attention to detail, in environments where you owned outcomes — not just deliverables

Preferred Qualifications

  • Experience designing for AI, LLM, or conversational products — understanding how non-deterministic model behavior affects UX decisions
  • Portfolio demonstrating before/after impact: designs that measurably improved user engagement, comprehension, or task success
  • Experience with motion design, micro-interactions, or advanced prototyping (Framer, Rive, or code-based animation)
  • Familiarity with AI-assisted user research, synthetic testing, or automated design evaluation
  • Evidence of continuously adopting and mastering new tools — you have a pattern of being early to new workflows and making them productive fast

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.

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Member of Technical Staff – Machine Learning, AI Safety – MAI Superintelligence Team Member of Technical Staff – Machine Learning, AI Safety – MAI Superintelligence Team

Location
London, United Kingdom
Job Number
200007157-en-1
City
London
Team
Microsoft Superintelligence
Country
United Kingdom
Discipline
Software Engineering
Overview
Overview 
As a Member of Technical Staff – Machine Learning, AI Safety, you will develop and implement cutting-edge safety methodologies and mitigations for products that are served to millions of users through Copilot every day. Users turn to Copilot for support in all types of endeavors, making it critical that we ensure our AI systems behave safely and align with organizational values. You may be responsible for developing new methods to evaluate LLMs, experimenting with data collection techniques, implementing safety orchestration methods and mitigations, and training content classifiers to support the Copilot experience. We’re looking for outstanding individuals with experience in machine learning or machine learning infrastructure who are also strong communicators and great teammates. The right candidate takes the initiative and enjoys building world-class, trustworthy AI experiences and products in a fast-paced environment.  
 
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
Responsibilities 
Leverage expertise to uncover potential risks and develop novel mitigation strategies, including data mining, prompt engineering, LLM evaluation, and classifier training. 
Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes. 
 
Build automated safety testing systems, generalize safety solutions into repeatable frameworks, and write efficient code for safety model pipelines and intervention systems. 
Maintain a user-oriented perspective by understanding safety needs from user perspectives, validating safety approaches through user research, and serving as a trusted advisor on AI safety matters 
 
Track advances in AI safety research, identify relevant state-of-the-art techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users. 
 
Embody our culture and values. 


Qualifications
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, C, C++, C#, Java, JavaScript, or Python  
  • OR equivalent experience.  
  • Experience prompting and working with large language models.   
  • Experience writing production-quality Python code.   
 
Preferred Qualifications 
  • Demonstrated interest in Responsible AI.   

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.

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Principal Product Designer, Health AI Principal Product Designer, Health AI

Location
London, United Kingdom
Job Number
200028412-en-2
City
London
Team
Health
Country
United Kingdom
Discipline
Product Design
Overview

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 product, crafting world-class products that empower users and promote positive health outcomes. 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 an entire 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.
  • 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
  • Not required, but familiarity with the healthcare space is a plus!

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.

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Principal Product Designer, Health AI Principal Product Designer, Health AI

Location
London, United Kingdom
Job Number
200028412-en-1
City
London
Team
Health
Country
United Kingdom
Discipline
Product Design
Overview

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 product, crafting world-class products that empower users and promote positive health outcomes. 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 an entire 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.
  • 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
  • Not required, but familiarity with the healthcare space is a plus!

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.

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Member of Technical Staff, AI Systems Engineer – Microsoft Superintelligence Member of Technical Staff, AI Systems Engineer – Microsoft Superintelligence

Location
London, United Kingdom
Job Number
200031778-en-3
City
London
Team
Microsoft Superintelligence
Country
United Kingdom
Discipline
Software Engineering
Overview

We are building next-generation customized AI silicon designed to accelerate AI workloads with unprecedented efficiency. We are looking for an exceptional Systems Engineer to bridge the gap between our custom hardware and modern AI inference frameworks.

We build foundational AI infrastructure that enables large-scale training and inference across diverse workloads and rapidly evolving hardware generations. Our work directly shapes how AI systems are designed, deployed, and scaled today and into the future. Engineers on this team operate with end-to-end ownership, deep technical rigor, and a strong bias toward real-world impact. 

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! 

The Role

As a Senior AI Systems Engineer, you will own the software integration layer between our custom AI chip’s proprietary SDK and SGLang, a state-of-the-art serving framework for Large Language Models (LLMs) and Vision-Language Models. You will be responsible for ensuring that our silicon can seamlessly run SGLang inference workloads at peak performance, bypassing the traditional CUDA ecosystem entirely.



Responsibilities
  • Framework Integration: Architect and develop the backend integration to make our custom AI chip a first-class citizen in SGLang.
  • Custom Operator Development: Write custom C++ / PyTorch extensions that map SGLang’s primitive operations (e.g., RadixAttention, FlashAttention, matrix multiplications) to our custom chip’s proprietary software layer.
  • Performance Optimization: Profile and optimize end-to-end LLM inference latency, throughput, and memory utilization (Paged Attention) on our hardware.
  • Cross-Functional Collaboration: Work closely with our hardware architecture and compiler teams to provide feedback on our custom software stack and silicon design based on framework-level bottlenecks.
  • Testing & Deployment: Build robust testing pipelines to validate model accuracy and performance parity against standard GPU baselines.


Qualifications
Must-Have Qualifications:
  • BS, MS, or PhD in Computer Science, Computer Engineering, or a related field.
  • Software engineering experience focusing on systems programming, ML infrastructure, or AI compilers.
  • Expertise in Python: Deep understanding of memory management, concurrent programming.
  • Experience with LLM Inference Engines: Hands-on experience modifying or extending frameworks like SGLang, vLLM, DeepSpeed-FastGen, or TensorRT-LLM.
  • PyTorch Internals: Strong experience writing PyTorch C++ extensions and custom operators.
  • Hardware Interfacing: Proven track record of integrating machine learning workloads with hardware accelerators (GPUs, TPUs, NPUs) using custom SDKs, APIs, or low-level drivers.
Nice-to-Have Qualifications:
  • Prior experience working on non-CUDA software ecosystems (e.g., AMD ROCm, AWS Neuron, Google XLA).
  • Familiarity with AI compilers and intermediate representations (MLIR, Apache TVM, OpenAI Triton).
  • Strong understanding of underlying LLM architectures (Transformers, MoE) and state-of-the-art attention algorithms (FlashAttention v2/v3).
  • Previous experience at an AI silicon startup or working on custom accelerators (e.g., Google TPU, AWS Trainium).

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.

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Member of Technical Staff, High Performance Computing Engineer – MAI SuperIntelligence Team Member of Technical Staff, High Performance Computing Engineer – MAI SuperIntelligence Team

Location
London, United Kingdom
Job Number
200029264-en-1
City
London
Team
Microsoft Superintelligence
Country
United Kingdom
Discipline
Software Engineering
Overview

Overview

Microsoft AI is looking for experienced Member of Technical Staff, High Performance Computing Engineers to help build and scale the infrastructure that trains our frontier models and powers the next evolution of our personal AI, Copilot. This role offers the unique opportunity to work on some of the largest scale supercomputers in the world – a rare chance to operate at such a significant scale. 

 


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. 



Responsibilities

 

  • Design, operate, and maintain large-scale HPC environments, drawing on hands-on engineering experience in production settings.
  • Own the deployment, configuration, and day-to-day operation of HPC schedulers (e.g., SLURM, Kubernetes), ensuring reliable and efficient job scheduling at scale.
  • Serve as a technical owner for at least one core HPC domain (GPU compute, high-performance storage, networking, or similar), including ongoing maintenance, performance tuning, and troubleshooting of massive clusters.
  • Develop and maintain automation and tooling using Bash and/or Python to improve cluster reliability, observability, and operational efficiency.
  • Partner closely with researchers and engineers to support their workloads, troubleshoot cluster usage issues, and triage failed or underperforming jobs to resolution.
  • Drive work forward independently by navigating ambiguity and technical roadblocks, delivering incremental improvements that get capabilities into users’ hands quickly.
  • Enjoy working in a fast-paced, design-driven product development environment, balancing stability with rapid iteration and experimentation.
  • Embody our Culture and Values.  

 



Qualifications

Required Qualifications:

  • Do you have a Bachelor’s degree in computer science, or related technical field AND 4+ years technical engineering experience with deploying or operating on-premise or cloud high-performance clusters, AND 4+ years experience working with high-scale training clusters (ex. working with frameworks/tools such as nvidia InfiniBand clusters, SLURM, Kubernetes, Ray, etc.), AND 4+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP,
    • OR equivalent experience? 

 

Preferred Qualifications:

  • Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with deploying or operating on-premise or cloud high-performance clusters, AND 6+ years experience working with high-scale training clusters (ex. working with frameworks/tools such as nvidia InfiniBand clusters, SLURM, Kubernetes, Ray, etc.), AND 6+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP,
    • OR equivalent experience.
  • Experience with LLM training clusters
  • 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.
  • Experience working with large-scale HPC or GPU systems (ex. NVIDIA H100/GB200 or equivalent).
  • 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.
  • 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. 

 


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.

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English (United States)
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