Member of Technical Staff - Software Engineer, Health AI

## About the role 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. ## Requirements - Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. - Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. - 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. - 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.