Senior Applied Scientist, AWS Healthcare AI

Amazon is hiring a Senior Applied Scientist, AWS Healthcare AI in Seattle, United States. It pays $192k-$260k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this applied scientist role Builds AI ●●●●: the job is building AI systems.
Pay on this posting starts 15% higher than the typical applied scientist posting on Level.
The posting mentions TensorFlow, scikit-learn and Deep learning among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Senior Applied Scientist needed to lead research and development of generative AI applications for AWS Healthcare AI.

TensorFlowscikit-learnDeep learningReinforcement learning

nlpspeechnatural-language-understandingknowledge-representationfoundation-modelsmachine-learningresearch

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.

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 AmazeCon 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 career-advancing resources here to help you develop into a better-rounded professional.

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.
- Strong publication record in top-tier journals and conferences.

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, Sunnyvale - 192,200.00 - 260,000.00 USD annually
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually

How we rate this

Senior Applied Scientist, AWS Healthcare AI at Amazon rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Applied Scientist, AWS Healthcare AI is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $192k-$260k a year.
The role is based in US, WA, Seattle.
The job was posted on September 18, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

NLPSpeechNatural Language UnderstandingKnowledge RepresentationFoundation ModelsMachine learningResearchTensorFlow

Also common in applied scientist jobs at this level

LLM Computer vision PyTorch Fine-tuning SQL AI agents

Pay

This job starts at: $192k
Typical applied scientist job: $167k

This posting starts 15% above the typical applied scientist job. See applied scientist jobs

Questions you could be asked

What NLP problem have you worked on, and how did you measure whether it actually worked?
What have you built with speech recognition or text-to-speech, and where did it break?
Tell me about a project where natural language understanding was part of your work. What did you do?
Tell me about a project where knowledge representation was part of your work. What did you do?
Tell me about a project where foundation models was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: NLP, Speech, Natural Language Understanding, Knowledge Representation, and Foundation Models. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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