Member of Technical Staff - Health AI at Microsoft

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

23 Jan, 26

Salary

0.0

Posted On

25 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Applications, Prompt Engineering, Experimental Design, Language Model Evaluations, Fine Tuning, Reinforcement Learning, Data Curation, Machine Learning Principles, Communication Skills, Collaborative Work, Conversational AI, Technical Engineering, Research, Engineering, Health Technology, Safety Critical Solutions

Industry

Software Development

Description

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.

Responsibilities

The role involves working across the full AI modeling stack to deliver LLM solutions in healthcare. You will design and validate hypotheses within a small team, focusing on making models useful and safe for health applications.