Applied Scientist, Tabular Foundation Models

Amazon Inc.; Seattle (WA); Hybrid; USD 167,000 - 226,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Job summary

Amazon seeks an Applied Scientist to advance Tabular Foundational Models (TFM) within AWS. You will help enterprises unlock insights from structured data by building scalable, native-table models and collaborating with world-class researchers to publish findings.

You will pre-train tabular models, enable few-shot adaptation, and drive feature engineering across diverse datasets, shaping real-world analytics and deployments.

Qualifications

• PhD or Master’s degree with 6+ years of applied research experience.
• 3+ years of building ML models for business applications.
• Experience programming in Java, C++, Python or related languages.

Responsibilities

• Work on pre-training tabular foundational models (Mitra family) on heterogeneous data.
• Advance few-shot adaptation for domain-specific tasks (regression, classification).
• Develop agentic feature engineering for high-cardinality features and missing data patterns.

Skills

ML modeling

Deep learning

Java

Python

C++

Education

PhD or MS with 6+ yrs

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Job description

Amazon seeks an Applied Scientist to advance Tabular Foundational Models (TFM) within AWS. You will help enterprises unlock insights from structured data by building scalable, native-table models and collaborating with world-class researchers to publish findings.

You will pre-train tabular models, enable few-shot adaptation, and drive feature engineering across diverse datasets, shaping real-world analytics and deployments.