Amazon
Applied Scientist III, AWS Startups
$167K–$226K
Seattle, WA · Full-time · Posted Oct 5, 2026
- Experience
- 3+ years building machine-learning models for business applications; PhD, or Master's degree and 6+ years of applied research experience.
- Education
- PhD, or Master's degree and 6+ years of applied research experience.
About the job
Build and deploy machine-learning systems for AWS Startups, including recommendations, segmentation, fraud detection, and AI-powered guidance for founders.
What you'll do
- Frame science problems, define data strategies, build and evaluate ML models, and deploy them to production.
- Apply generative AI and LLMs to personalize technical guidance, including retrieval, ranking, and evaluation.
- Design experiments, communicate trade-offs, collaborate across teams, and mentor scientists and engineers.
What they ask for
- 3+ years of experience building machine learning models for business applications.
- PhD, or Master's degree and 6+ years of applied research experience.
- Programming experience in Java, C++, Python, or a related language.
- Experience with neural deep learning methods and machine learning.
Nice to have
- Experience with modeling tools such as R, scikit-learn, Spark MxNet, Tensorflow, numpy, or scipy.
- Experience with LLMs, foundation models, or generative AI, including prompt engineering, fine-tuning, retrieval-augmented generation, or agentic architectures.
Pay
167,100.00 - 226,100.00 USD annually (base salary)
Tools
Java, C++, Python, R, scikit-learn, Spark MxNet, Tensorflow, numpy
AI focus
Build ML recommendations, startup segmentation, and fraud detection; apply generative AI and LLMs to personalized founder guidance, including retrieval, ranking, and evaluation.
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