Amazon
Applied Scientist - GenAI, Trust and Store Integrity Science
$143K–$193K
Seattle, WA · Full-time · Posted Sep 25, 2026
- Experience
- 4+ years with a Master's degree; alternatively, a PhD is accepted.
- Education
- PhD, or Master's degree and 4+ years of CS, CE, ML, or related field experience.
About the job
Build and deploy machine learning systems using GenAI and related technologies to evaluate risk, prevent e-commerce fraud, and automate trust and store integrity operations.
What you'll do
- Develop and deploy end-to-end machine learning solutions in Amazon’s production environment.
- Build automated risk evaluation and operational processes using GenAI, LLM, and VLM technology.
- Analyze large-scale data, develop and validate models, and communicate results to business and engineering partners.
What they ask for
- PhD, or a Master's degree and 4+ years of CS, CE, ML, or related field experience.
- Programming experience in Java, C++, Python, or a related language.
- Experience in at least one of: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.
Nice to have
- Track record of leading large-scale AI transformation projects.
- Strong publication record in top-tier conferences or journals such as CVPR, NeuIPS, ICML, ACL, or EMNLP.
Pay
142,800.00 - 193,200.00 USD annually (base salary)
Tools
GenAI, LLM, VLM, Java, C++, Python
AI focus
Apply GenAI, LLM, and VLM technology to risk evaluation and automated operations; build and deploy machine learning systems for fraud prevention and trust and store integrity.
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