Jobs · Research · California

Applied Scientist , AWS Healthcare-AI

Amazon Web Services (AWS) · Mountain View, CA · 1 wk ago
ResearchFull-time

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.

About the role

We're seeking a Senior Applied Scientist to join our team working on AI-driven clinical solutions that are transforming how clinicians interact with patients and document care. In this role, you will contribute to the research and development of new, highly influential 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 collaborate with 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, setting the standard for excellence, and leading complex reviews. This role wields significant influence across AWS, Amazon, and the global research community.

Responsibilities

  • Contribute to the research and development of new AI applications for end-customers, frontline workers, and back-office staff.
  • Define research directions and develop new machine learning techniques.
  • Conduct rigorous experiments to validate scientific approaches.
  • Translate research into impactful, scalable products.
  • Set standards for scientific excellence and scalable solutions across teams.
  • Define evaluation methods and lead complex technical reviews.
  • Collaborate with a team of scientists to innovate in generative AI-powered experiences.

Requirements

  • 3+ years of experience building models for business applications.
  • PhD, or Master's degree and 4+ years of experience in CS, CE, ML, or a related field.
  • Experience with patents or publications at top-tier peer-reviewed conferences or journals.
  • Experience programming in Java, C++, Python, or a related language.
  • Experience in one or more of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Preferred Qualifications

  • Experience using Unix/Linux.
  • Experience in professional software development.

About the Team

AWS 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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. We foster stronger, more collaborative teams through employee-led and company-sponsored affinity groups and inclusion events. Our continual innovation is fueled by bold ideas, fresh perspectives, and passionate voices.

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. You’ll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional.

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Pay

  • USA, CA, Mountain View: $171,600.00 - $222,200.00 USD annually
  • USA, WA, Seattle: $142,800.00 - $193,200.00 USD annually

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.

Benefits

  • Comprehensive health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and optional supplemental life plans).
  • Employee Assistance Program (EAP), Mental Health Support, Medical Advice Line.
  • Flexible Spending Accounts.
  • Adoption and Surrogacy Reimbursement coverage.
  • 401(k) matching.
  • Paid time off and parental leave.

Learn more about our benefits at amazon.jobs/en/benefits.

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