Amazon
Applied Scientist, Catalog System Services Science
$143K–$193K
Seattle, WA · Full-time · Posted Sep 23, 2026
- Experience
- 2+ years building machine-learning models or developing algorithms for business applications; alternatively, 4+ years of CS, CE, ML, or related-field experience with a Master’s degree. A PhD is also accepted.
- Education
- PhD, or Master’s degree and 4+ years of CS, CE, ML, or related-field experience.
About the job
Develop and deploy AI models and services that enrich Amazon’s product catalog and support agentic shopping experiences at large scale.
What you'll do
- Research and formulate problems in generative AI, multimodal learning, and large-scale information retrieval; develop models and agentic architectures for catalog enrichment.
- Build explainable AI methods and own machine-learning pipelines from research through production deployment, with rigorous evaluation.
- Publish findings, give technical talks, and track research in GenAI, VLMs, and agentic systems.
What they ask for
- PhD, or a Master’s degree and 4+ years of experience in CS, CE, ML, or a related field.
- Programming experience in Java, C++, Python, or a related language.
- 2+ years of experience building machine-learning models or developing algorithms for business applications.
- Prior experience in LLMs or large-scale deep-learning systems.
Nice to have
- Publications in top-tier venues such as NeurIPS, ICML, or similar.
- Experience with multimodal LLMs, including hands-on post-training techniques.
Pay
142,800.00 - 193,200.00 USD annually (base salary)
Tools
GenAI, VLMs, Java, C++, Python, LLMs
AI focus
Research and deploy GenAI, multimodal, explainable, and agentic AI for product-catalog understanding and enrichment, using text, images, and structured data at scale.
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