• 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.

• 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)

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.