Sr. Applied Scientist, AWS Healthcare-AI
Company: Amazon
Location: Seattle
Posted on: April 2, 2026
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Job Description:
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. We're seeking a Senior Applied
Scientist to join our team working on our AI driven clinical
solutions that are transforming how clinicians interact with
patients and document care. 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. - 3 years of building machine learning models for
business application experience - PhD, or Master's degree and 6
years of applied research experience - Experience programming in
Java, C++, Python or related language - Experience with neural deep
learning methods and machine learning - Experience with modeling
tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow,
numpy, scipy etc. - Experience with large scale distributed systems
such as Hadoop, Spark etc. Amazon is an equal opportunity employer
and does not discriminate on the basis of protected veteran status,
disability, or other legally protected status. Los Angeles County
applicants: Job duties for this position include: work safely and
cooperatively with other employees, supervisors, and staff; adhere
to standards of excellence despite stressful conditions;
communicate effectively and respectfully with employees,
supervisors, and staff to ensure exceptional customer service; and
follow all federal, state, and local laws and Company policies.
Criminal history may have a direct, adverse, and negative
relationship with some of the material job duties of this position.
These include the duties and responsibilities listed above, as well
as the abilities to adhere to company policies, exercise sound
judgment, effectively manage stress and work safely and
respectfully with others, exhibit trustworthiness and
professionalism, and safeguard business operations and the
Company’s reputation. Pursuant to the Los Angeles County Fair
Chance Ordinance, we will consider for employment qualified
applicants with arrest and conviction records. Our inclusive
culture empowers Amazonians to deliver the best results for our
customers. If you have a disability and need a workplace
accommodation or adjustment during the application and hiring
process, including support for the interview or onboarding process,
please visit
https://amazon.jobs/content/en/how-we-hire/accommodations for more
information. If the country/region you’re applying in isn’t listed,
please contact your Recruiting Partner. 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. Learn more about our benefits at
https://amazon.jobs/en/benefits . USA, CA, Mountain View -
192,200.00 - 260,000.00 USD annually USA, WA, Seattle - 167,100.00
- 226,100.00 USD annually
Keywords: Amazon, Tacoma , Sr. Applied Scientist, AWS Healthcare-AI, Science, Research & Development , Seattle, Washington