Amazon
Applied Scientist, TSI Science
$143K–$193K
Seattle, WA · Full-time · Posted Oct 6, 2026
- Experience
- 4+ years with a Master's degree; alternatively, a PhD.
- Education
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
About the job
Develop and deploy machine-learning systems that detect eCommerce fraud, evaluate risk, and automate operations to protect Amazon transactions and improve customer experience.
What you'll do
- Build automated fraud detection, risk evaluation, and operations solutions using GenAI/LLM/VLM technology.
- Design, develop, and deploy end-to-end machine-learning solutions in Amazon’s production environment.
- Partner with business and engineering teams to analyze data, develop and validate models, and report results.
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 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/journals such as CVPR, NeuIPS, ICML, ACL, EMNLP.
Pay
142,800.00 - 193,200.00 USD annually (base salary)
Tools
GenAI, LLM, VLM, Java, C++, Python
AI focus
Applies GenAI/LLM/VLM and machine learning to fraud detection, risk evaluation, and automated operations; develops and deploys scalable production solutions.
Model-written summary · the original posting is authoritative