Senior Applied Scientist, Healthcare AI — Lead Generative ML

Job :  |  Services LLC

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 Health Scribe Comprehend Medical Health Lake 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.

About the team
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and Amaze Con conferences, inspire us to never stop embracing our uniqueness.

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other…