Member of Technical Staff - Applied AI Software Engineer, Health

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 are looking for engineers with experience designing and building LLM-based products, and taking them through to production. You will play a pivotal role in establishing Copilot as the leader in safe, informative, trustworthy, and useful health information.

Responsibilities

• Be a key cross-functional team member, and close collaborator to product teams. Make significant contributions from translating research into benchmarks to co-authoring product roadmap.
• Design and build evaluation systems that test LLM capabilities in the healthcare domain, and interpret and communicate results.
• Run experiments to determine how different prompting techniques affect results on internal and industry benchmarks.
• Improve the tooling that is used internally to implement, run, and analyze evaluations.
• Design internal benchmarking and regression testing capabilities that capture model accuracy, safety, and utility.

Qualifications

Required Qualifications

• Bachelor's or Higher Degree in Computer Science, or related technical discipline AND significant Python programming experience / machine learning research.
• Experience building with and around LLMs including prompt / context and harness engineering.
• Deep expertise in evaluating and understanding the performance of agents.
• Experience collaborating in cross-functional teams, working through ambiguity to deliver high-quality results.
• 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, or experience in the health domain.
• Experience with data engineering – handling text dataset sourcing, curation, and processing tasks at scale.
• 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.

The typical base pay range for this role across the United Kingdom is £93,500.00 – £161,800.00 per year.