Manager, Applied Science - Health AI, Amazon Health Science & Analytics
About The Position
Want to work on frontier, world class, AI-powered experiences for health customers and health providers? The Health Science & Analytics group in Amazon's Health Store & Technology organization is looking for a Manager of Applied Science to lead a group of applied scientists to work hand in hand with physicians and technologists to build the future of AI-powered healthcare experiences. We have an ambitious roadmap which includes scaling recently launched products which are already delighting products and the opportunity to build disruptive, new experiences. This role will be responsible for leading key science initiatives in support of our ambitious goals. #everydaybetter
Requirements
- Knowledge of ML, NLP, Information Retrieval and Analytics
- 5+ years of scientists or machine learning engineers management experience
- Hands on experience in AI product development and experience with conversational systems.
- Experience building machine learning models or developing algorithms for business application
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- Experience with AI development in healthcare settings.
- PhD in Computer Science (CS), Computer Engineering (CE), Machine Learning (ML), or related technical field
Responsibilities
- Independently manage a team of scientists sustainably deliver science agenda for our products.
- Define the science roadmap for key products.
- Maintain and raise the science bar of the team’s deliverables and keep the broader Amazon Health Services organization apprised of the latest relevant technical developments in the field.
- Work across business, clinical, and technical leaders to disambiguate science needs and socialize progress towards key goals and deliverables.
- Proactively identify risks and shape the technical roadmap in anticipation of industry trends in emerging AI subfields.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
