Applied Scientist, GenAI, AWS HealthAI

3 weeks ago

Seattle, Washington, United States Amazon Full time
About the Role

We are seeking a highly skilled Applied Scientist to join our team at Amazon, working on cutting-edge GenAI solutions for Healthcare and Life Sciences. As a key member of our team, you will be responsible for designing, training, testing, and deploying machine learning models that drive business impact.

Our ideal candidate has a strong background in deep learning, multimodal systems, and a passion for applying AI to healthcare challenges. You will collaborate with a team of clinical experts, researchers, and engineers to solve complex healthcare challenges and develop novel algorithms and modeling techniques for multimodal systems.

Key Responsibilities:

  • Apply latest deep learning and natural language processing techniques to ship new features for our customers
  • Convert ambiguous business questions into precise science problems
  • Regularly ship deep learning models and natural language processing models that run at AWS scale
  • Collaborate with engineers, clinical experts, and product managers to deliver solutions

What We're Looking For:

  • Strong background in deep learning and multimodal systems
  • Passion for applying AI to healthcare challenges
  • Ability to lead and mentor research teams
  • Experience in developing scalable, secure AI/ML systems

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. We value diverse experiences and encourage candidates from all backgrounds to apply.

Why Amazon?

Amazon is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating, which is why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

What We Offer:

  • Competitive compensation and benefits package
  • Opportunities for career growth and professional development
  • Collaborative and dynamic work environment
  • Access to cutting-edge technology and resources

Basic Qualifications:

  • PhD or Master's degree in CS, CE, ML, or related field
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience programming in Java, C++, Python, or related language
  • Knowledge of standard speech and machine learning techniques

Preferred Qualifications:

  • 3+ years of building machine learning models for business application experience
  • Prior experience building LLMs or GenAI-based solutions

Amazon is an Equal Opportunity Employer:

We are 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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