Amazon
Applied Scientist (GenAI/LLM), Sandstone
$143K–$193K
Seattle, WA +1 · Full-time · Posted Oct 26, 2026
- Location
- Seattle, WA
San Diego, CA - Experience
- 4+ years with a Master's degree; alternatively, a PhD. Also requires 2+ years building models for business applications.
- Education
- PhD, or Master's degree and 4+ years of experience in CS, CE, ML, or a related field.
About the job
Develop foundational behavioral models for Amazon Stores using generative AI and large language models, from algorithm research and training through optimization and product integration.
What you'll do
- Research and implement algorithms and architectures for generative AI applications; experiment to improve model quality.
- Optimize models for inference and deployment, and help develop training infrastructure using large datasets.
- Guide the integration of generative AI solutions into products and services in collaboration with scientists and engineers.
What they ask for
- PhD, or a Master's degree and 4+ years of experience in CS, CE, ML, or a related field.
- 2+ years of experience building models for business applications.
- Programming experience in Java, C++, Python, or a related language.
- Experience in a listed technical area (such as algorithms and data structures, numerical optimization, or parallel and distributed computing), and experience in patents or publications at top-tier peer-reviewed conferences or journals.
Nice to have
- Strong understanding of machine learning, deep learning, and generative AI; familiarity with NLP or computer vision for generative AI.
- Proficiency with named modeling and data-processing tools, such as PyTorch, scikit-learn, Spark MLLib, PySpark, MxNet, Tensorflow, numpy, or scipy.
Pay
142,800.00 - 193,200.00 USD annually (base salary); 142,800.00 - 193,200.00 USD annually (base salary)
Tools
Java, C++, Python, PyTorch, scikit-learn, Spark MLLib, PySpark, Tensorflow
AI focus
Build and improve foundational behavioral models for Amazon Stores using generative AI, LLMs, and large-model training techniques.
Model-written summary · the original posting is authoritative