Applied Scientist III, AWS HealthAI

Job ID: 2799591 | Amazon Development Center U.S., Inc.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. Whats cool? You will collaborate with a team of ML-focused SDEs to productionalize these solutions.Our ideal candidates thrive in ambiguity, build collaborative relationships, move fast, and are 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

Applying latest deep learning and natural language processing techniques to ship new features for our customerConvert ambiguous business questions into precise science problemsRegularly ship deep learning models and natural language processing models that run at AWS scaleCollaborate with engineers, clinical experts and product managers to deliver your solutionsWhat You'll Do:

Collaborate with a team of Clinical experts, researchers and engineers in solving complex healthcare challengesDevelop novel algorithms and modeling techniques for multimodal systemsApply latest deep learning, Gen AI and natural language processing techniques to build model-based solutions in Health domainCollaborate 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.Conduct cutting-edge research and publish in top-tier conferences and journalsWhat We're Looking For:

Strong background in deep learning and multimodal systemsPassion for applying AI to healthcare challengesAbility to lead and mentor research teamsExperience in developing scalable, secure AI/ML systemsExpertise in areas such as medical imaging, medical notes, ontologies, genomics, or clinical decision supportAbout 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.BASIC QUALIFICATIONS

5+ years of building machine learning models for business application experiencePhD, or Master's degree and 6+ years of applied research experienceExperience programming in Java, C++, Python or related languageExperience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS

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 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.

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