Applied Scientist III, AWS HealthAI

2 days ago

Seattle WA United States Amazon Full time

At AWS Health AI, we leverage AI to revolutionize healthcare and if you are passionate to make a global-scale difference in Health, we have an opportunity for you. AWS Health AI is seeking an inventive and talented Applied Scientist to join forces in the area of Natural Language Processing, Genomics, Medical Imaging or Biomedical. We are on a mission to use Gen-AI and build new innovative solutions for Healthcare and Life Sciences users. You will be involved in the entire product development cycle including customer discovery, experimentation, design, and prototyping. You will collaborate with a team of ML-focused SDEs to productionalize these solutions.


Our ideal candidate thrives in ambiguity, builds collaborative relationships, moves fast, and is passionate about meaningful work. They will have the technical skills to design and build complex distributed systems that run at AWS scale. They prefer working on small, focused teams, own their product, and love to pitch in anywhere to get the job done. They lead by example and the team naturally gravitates towards them because of their engineering expertise and decision-making ability. They can communicate effectively with a wide variety of audiences and are comfortable pitching new ideas.


We are looking for candidates who thrive in an exciting, fast-paced environment and who have a strong personal interest in learning, researching, and creating new technologies with high customer impact. You will have an opportunity to influence product and leaders.


As an Applied Scientist you will partner with talented scientists and engineers to design, train, test, and deploy machine learning models. You will contribute to innovative features, improve our services based on customer requirements, and help maintain a highly scalable data and model management infrastructure that supports cutting-edge research. You will be responsible for translating business and engineering requirements into deliverables and software products.


Prior domain knowledge in speech, natural language processing, or computer vision is strongly preferred; solid knowledge of fundamentals of statistics, machine learning, and deep learning is required. Candidates should possess strong software engineering skills and several years of industry experience.


As a Senior Applied Scientist, you guide and develop other Scientists in the team and you influence the product vision and roadmap via insightful innovation and research. You are able to transform ideas into production-scale delivery.


Key Job Responsibilities
  1. Applying the latest deep learning and natural language processing techniques to ship new features for our customers.
  2. Convert ambiguous business questions into precise science problems.
  3. Regularly ship deep learning models and natural language processing models that run at AWS scale.
  4. Collaborate with engineers, clinical experts, and product managers to deliver your solutions.

What You'll Do:
  1. Collaborate with a team of Clinical experts, researchers, and engineers in solving complex healthcare challenges.
  2. Develop novel algorithms and modeling techniques for multimodal systems.
  3. Apply the latest deep learning, Gen AI, and natural language processing techniques to build model-based solutions in the Health domain.
  4. Collaborate with cross-functional teams to create impactful products and services. Convert ambiguous business questions into precise science problems, and share insights/learnings from your experimentation to help product direction.
  5. Conduct cutting-edge research and publish in top-tier conferences and journals.

What We're Looking For:
  1. Strong background in deep learning and multimodal systems.
  2. Passion for applying AI to healthcare challenges.
  3. Ability to lead and mentor research teams.
  4. Experience in developing scalable, secure AI/ML systems.
  5. Expertise in areas such as medical imaging, medical notes, ontologies, genomics, or clinical decision support.

About the Team

This team is responsible for building classical as well as GenAI solutions that directly integrate as solutions for HealthCare and Life Science users.


Why AWS?

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.


Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the 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.


Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.


Mentorship & Career Growth

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.


Work/Life Balance

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 in the cloud.


Minimum Qualifications:
  1. 5+ years of building machine learning models for business application experience.
  2. PhD, or Master's degree and 6+ years of applied research experience.
  3. Experience programming in Java, C++, Python or related language.
  4. Experience with neural deep learning methods and machine learning.
  5. Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc.
  6. Experience with large scale distributed systems such as Hadoop, Spark, etc.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit


Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

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