Amazon
Senior Applied Scientist, AWS Healthcare AI
$167K–$260K
Sunnyvale, CA +1 · Senior · Full-time · Posted Sep 18, 2026
- Location
- Sunnyvale, CA
Seattle, WA - Experience
- 6+ years of applied research experience with a Master's degree, or a PhD; 3+ years building ML models for business applications; 8+ years building large-scale ML and AI solutions at Internet scale.
- Education
- PhD, or Master's degree and 6+ years of applied research experience.
About the job
Leads research and development of generative AI solutions for healthcare, guiding scientists from research direction and experimentation through evaluation and product impact.
What you'll do
- Define research directions, develop machine learning techniques, and conduct rigorous experiments.
- Guide a team of scientists in creating AI experiences for patients, clinicians, customer service agents, and back-office staff.
- Establish evaluation methods and lead complex technical reviews to deliver scalable, scientifically sound solutions.
What they ask for
- PhD, or Master's degree and 6+ years of applied research experience.
- 3+ years of experience building machine learning models for business applications.
- Experience programming in Java, C++, Python, or a related language.
- Experience with neural deep learning methods and machine learning; 8+ years building large-scale machine learning and AI solutions at Internet scale.
Nice to have
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, and scipy.
- Experience building speech recognition, machine translation, and natural language processing systems; large-scale ML systems experience; or a strong publication record in top-tier venues.
Pay
USD 192,200.00 - 260,000.00 annually (base salary); USD 167,100.00 - 226,100.00 annually (base salary)
Tools
Java, C++, Python, R, scikit-learn, Spark MLLib, MxNet, Tensorflow
AI focus
Research and develop generative AI-powered healthcare applications, involving NLU, deep learning, knowledge representation, foundation models, and reinforcement learning.
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