About the job
At AWS Healthcare AI, we're revolutionizing healthcare delivery through AI solutions that serve millions globally. As a pioneer in healthcare technology, we're building next-generation services that combine Amazon's world-class AI infrastructure with deep healthcare expertise. Our mission is to accelerate our healthcare businesses by delivering intuitive and differentiated technology solutions that solve enduring business challenges. The AWS Healthcare AI organization includes services such as HealthScribe, Comprehend Medical, HealthLake, and more.
Responsibilities
Lead pioneering research and development of new, highly confidential AI applications that re-imagine experiences for end-customers (e.g., consumers, patients), frontline workers (e.g., customer service agents, clinicians), and back-office staff (e.g., claims processing, medical coding); guide a team of scientists to invent novel, generative AI-powered experiences; define research directions, develop new ML techniques, conduct rigorous experiments, and ensure research translates to impactful products; set the standard for excellence, invent scalable, scientifically sound solutions across teams, define evaluation methods, and lead complex reviews.
Qualifications
Minimum
PhD, or Master's degree and 6+ years of applied research experience; 3+ years of building machine learning models for business application experience; Experience programming in Java, C++, Python or related language; Experience with neural deep learning methods and machine learning; 8+ years of building large-scale machine learning and AI solutions at Internet scale experience
Preferred
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.; Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects); Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability; Master's degree, or a PhD or equivalent research experience and experience in patents or publications at top-tier peer-reviewed conferences or journals; Strong publication record in top-tier journals and conferences.