Applied Scientist, Tabular Foundation Models

Amazon; Seattle (WA); On-site; USD 167,000 - 226,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon seeks researchers to advance the Mitra family of tabular foundation models, enabling zero-shot analytics, feature engineering, and cross-domain generalization across diverse datasets.

You will join world-class researchers to develop pre-training for tabular data, domain adaptation, and agentic feature engineering, with results applicable to real-world cloud services and customers.

Qualifications

• PhD or master's with 6+ years of applied research in ML.
• 3+ years building ML models for business applications.
• Proficiency in Java, C++, or Python.
• Experience with neural networks and ML methods.

Responsibilities

• Advance tabular foundation models and few-shot adaptation.
• Collaborate with AWS teams to deploy scalable ML.
• Publish findings at conferences and journals.

Skills

ML modeling

Programming languages

Deep learning

Applied research

Education

PhD orMaster's +6+ years

Tools

Java

C++

Python

Spark

TensorFlow

scikit-learn

Job description

Amazon seeks researchers to advance the Mitra family of tabular foundation models, enabling zero-shot analytics, feature engineering, and cross-domain generalization across diverse datasets.

You will join world-class researchers to develop pre-training for tabular data, domain adaptation, and agentic feature engineering, with results applicable to real-world cloud services and customers.