Senior Applied Scientist, AWS Healthcare AI

At AWS Healthcare AI, we’re revolutionizing healthcare delivery through AI solutions that serve millions globally. We combine Amazon’s world‑class AI infrastructure with deep healthcare expertise to accelerate our healthcare businesses by delivering intuitive, differentiated technology solutions that solve enduring business challenges. The AWS Healthcare AI organization includes services such as HealthScribe, Comprehend Medical, HealthLake, and more.

Responsibilities

• Lead pioneering research and development of highly confidential AI applications that re‑imagine experiences for end‑customers, frontline workers, and back‑office staff.
• Serve as a subject‑matter expert in NLU, deep learning, knowledge representation, foundation models, and reinforcement learning.
• Guide a team of scientists to invent novel, generative‑AI‑powered experiences.
• Define research directions, develop new machine‑learning techniques, and conduct rigorous experiments.
• Translate research into impactful products and scalable scientific solutions.
• Set standards for excellence, define evaluation methods, and lead complex technical reviews.
• Influence across AWS, Amazon, and the global research community.

About the Team

The AWS Healthcare AI team values diverse experiences and inclusive culture. We foster curiosity, connection, and mentorship, offering knowledge‑sharing, career‑advancing resources, and a work‑life harmony that supports flexibility and personal well‑being.

Basic Qualifications

• PhD, or Master’s degree with 6+ years of applied research experience.
• 3+ years of building machine‑learning models for business applications.
• Proficiency in Java, C++, Python, or related programming languages.
• Experience with neural deep‑learning methods and machine learning.
• 8+ years of building large‑scale machine‑learning and AI solutions at Internet scale.

Preferred Qualifications

• Experience with modeling tools such as R, scikit‑learn, Spark MLLib, MxNet, TensorFlow, NumPy, SciPy, etc.
• Experience 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, including profiling, debugging, and understanding system performance and scalability.
• Master’s degree, PhD, or equivalent research experience with patents or publications at top‑tier peer‑reviewed conferences or journals.
• Strong publication record in top‑tier journals and conferences.

Benefits

• Comprehensive health insurance (medical, dental, vision, prescription), Basic Life & AD&D insurance, optional supplemental life plans.
• Employee Assistance Program, mental‑health support, medical advice line, flexible spending accounts.
• Adoption and surrogacy reimbursement coverage.
• 401(k) matching.
• Paid time off and parental leave.
• Sign‑on payments and restricted stock units (RSUs) as part of the compensation package.

Pay

• Sunnyvale, CA: $192,200 – $260,000 USD annually.
• Seattle, WA: $167,100 – $226,100 USD annually.