Amazon
Applied Scientist, SP Support Science
$143K–$193K
Seattle, WA · Full-time · Posted Jul 16, 2026
- Experience
- 3+ years building machine learning models or developing algorithms for business applications; alternatively, a Master's degree and 4+ years of CS, CE, ML, or related field experience are specified.
- 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, generative AI, and measurement systems that identify Selling Partner support frictions and assess interventions.
What you'll do
- Develop and deploy innovative ML models and production NLP and multimodal systems.
- Collaborate with scientists and engineers to implement models and deliver features.
- Build scalable processes for data analysis, benchmarking, validation, and implementation.
What they ask for
- PhD, or Master's degree and 4+ years of CS, CE, ML, or related field experience.
- 3+ years of experience building machine learning models or developing algorithms for business applications.
- 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
- Patents or publications at top-tier peer-reviewed conferences or journals.
- Experience delivering AI products at scale or using generative AI tools to improve workflow efficiency.
Pay
142,800.00 - 193,200.00 USD annually (base salary)
Tools
Machine Learning, Generative AI, NLP, Java, C++, Python, LLM
AI focus
Develop LLM-powered classification, multimodal friction detection, causal impact measurement, and production ML and generative AI systems.
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