Applied AI Scientist II — Data Intelligence & Governance

Amazon; San Francisco (CA); On-site; USD 171,600 - 222,200; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Comprehensive benefits

Job summary

Amazon is seeking an Applied Scientist II to build an AI-powered data intelligence and governance platform that scales security and privacy assessments. You will lead AI/ML and distributed cloud initiatives, shaping standards and driving innovation across multiple teams.

You’ll work with security, privacy, engineering, and cloud-native tools to deliver self-serve insights, verifications, and enforcement. This role emphasizes leadership and deep technical execution.

Qualifications

• 3+ years of building models for business applications.
• PhD, or Master’s + 4+ years in CS/CE/ML or related field.
• Publications or patents in top-tier venues preferred.
• Proficient in Java, C++, Python.
• Experience with algorithms, data structures, and distributed systems.

Responsibilities

• Architect and define AI-driven data classification and search platform strategies.
• Develop scalable ML and LLM-based security agents for automated processing.
• Lead technical teams while performing hands-on deep-dive debugging.
• Align multiple teams and stakeholders to enterprise security goals.

Skills

Java

C++

Python

Algorithms

Data structures

Numerical optimization

Parallel and distributed computing

High-performance computing

ML concepts

Education

PhD

Master's degree in CS/CE/ML

Tools

MxNet

TensorFlow

Job description

Amazon is seeking an Applied Scientist II to build an AI-powered data intelligence and governance platform that scales security and privacy assessments. You will lead AI/ML and distributed cloud initiatives, shaping standards and driving innovation across multiple teams.

You’ll work with security, privacy, engineering, and cloud-native tools to deliver self-serve insights, verifications, and enforcement. This role emphasizes leadership and deep technical execution.