Applied Scientist, Tabular Foundational Models

Amazon Inc.; Omaha, Northern (NE, KY); Hybrid; 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 is seeking an Applied Scientist to advance Tabular Foundational Models (TFM) at AWS. You will work on pre-training models for heterogeneous tabular data, enabling zero-shot analytics and automated feature engineering, with opportunities to publish and contribute to cutting-edge research.

Join a world-class research team, partner with tech and business units, and impact cloud computing by delivering scalable ML solutions and novel modeling techniques for enterprise data.

Qualifications

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

Responsibilities

• Develop tabular foundational models and few-shot adaptations for diverse datasets.
• Collaborate with cross-functional teams to apply research to real-world data problems.
• Publish findings at peer-reviewed conferences and journals.

Skills

Java

C++

Python

Machine learning

Education

PhD or MS + 6 years

Tools

R

scikit-learn

Spark MLLib

TensorFlow

Job description

Amazon is seeking an Applied Scientist to advance Tabular Foundational Models (TFM) at AWS. You will work on pre-training models for heterogeneous tabular data, enabling zero-shot analytics and automated feature engineering, with opportunities to publish and contribute to cutting-edge research.

Join a world-class research team, partner with tech and business units, and impact cloud computing by delivering scalable ML solutions and novel modeling techniques for enterprise data.