Applied Scientist II: AI for Intelligent Automation

Amazon Inc.; Santa Clara (CA); On-site; USD 172,000 - 222,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services, Inc. in Santa Clara, CA is seeking an applied scientist to help build next-generation models for intelligent automation.

You will collaborate with software engineers and business teams to craft scalable features and publish findings at top conferences. The role emphasizes strong programming in Java/C++/Python, experience with algorithms and data structures, and a drive to deliver high-quality scientific artifacts in an agile environment.

Qualifications

• 3+ years of building models for business application experience.
• Experience in patents or publications at top-tier peer-reviewed conferences or journals.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Responsibilities

• Define and implement new automated reasoning features that employ scalable and efficient approaches to solve complex problems using neural learning and symbolic/formal reasoning.
• Apply software engineering best practices to ensure a high standard of quality for all team deliverables.
• Work in an agile, startup-like development environment.
• Deliver high-quality scientific artifacts.
• Work with the team to help drive business decisions.

Skills

Java

C++

Python

Algorithms & data structures

Numerical optimization

Data mining

Parallel & distributed computing

High-performance computing

Tools

Unix/Linux

Job description

Amazon Web Services, Inc. in Santa Clara, CA is seeking an applied scientist to help build next-generation models for intelligent automation.

You will collaborate with software engineers and business teams to craft scalable features and publish findings at top conferences. The role emphasizes strong programming in Java/C++/Python, experience with algorithms and data structures, and a drive to deliver high-quality scientific artifacts in an agile environment.