Member of Technical Staff - Applied AI Software Engineer, Health

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. 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. 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.