Amazon
Applied Scientist, Tabular Foundational Model, AWS
$167K–$226K
Seattle, WA · Full-time · Posted Sep 25, 2026
- Experience
- 3+ years of building machine learning models for business application experience; alternatively, a Master's degree and 6+ years of applied research experience is stated alongside the PhD requirement.
- Education
- PhD, or Master's degree and 6+ years of applied research experience.
About the job
Develop and research Amazon’s tabular foundation models for structured-data analytics, including pretraining, adaptation, and automated feature engineering.
What you'll do
- Pre-train tabular foundation models on heterogeneous tabular data.
- Develop few-shot adaptation for domain-specific regression and classification tasks.
- Research agentic feature engineering and publish findings in peer-reviewed conferences and journals.
What they ask for
- 3+ years of building machine learning models for business application experience.
- PhD, or Master's degree and 6+ years of applied research experience.
- Experience programming in Java, C++, Python or related language.
- Experience with neural deep learning methods and machine learning.
Nice to have
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
Pay
167,100.00 - 226,100.00 USD annually (base salary)
Tools
Java, C++, Python, R, scikit-learn, Spark MLLib, MxNet, Tensorflow
AI focus
Build tabular foundation models for structured data, including pretraining, few-shot adaptation, and agentic feature engineering.
Model-written summary · the original posting is authoritative