Senior Applied Scientist, AWS Healthcare AI

About the role

AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex things easy and hard things possible, with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are. We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset.

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.

Key job responsibilities

• To be successful in this mission we are seeking an experienced Applied Scientist to 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). As a leading subject matter expert in NLU deep learning knowledge representation foundation models and reinforcement learning you will guide a team of scientists to invent novel generative AI-powered experiences. This role involves defining research directions developing new ML techniques conducting rigorous experiments and ensuring research translates to impactful products. You will be a hands-on technical innovator who is passionate about building scalable scientific solutions. You will set the standard for excellence invent scalable scientifically sound solutions across teams define evaluation methods and lead complex reviews. This role wields significant influence across AWS Amazon and the global research community.

Basic Qualifications

• 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 Qualifications

• 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.

Additional information

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Pay and benefits

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

USA, CA, Sunnyvale - 192,200.00 - 260,000.00 USD annually

USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually