Software Engineer, Large-Scale ML Ingestion & RAG

Amazon Inc.; Seattle (WA); On-site; USD 144,000 - 194,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a Software Development Engineer to join the AWS Quick RAG team, building scalable ingestion pipelines for multi-modal content (PDF, audio, video, tables) and leveraging computer vision and ML to power Quick Suite’s processing and search capabilities.

You will design, develop, test, and deploy distributed ML systems, collaborate across teams to shape the roadmap, and mentor junior engineers while delivering features for enterprise customers at scale.

Qualifications

• Bachelor's degree in CS/Engineering/Math or related field.
• Experience with OO design and large-scale systems.
• Proficient in at least one programming language.
• Experience in distributed, multi-threaded software.
• Design or architecture experience.
• Non-internship professional software development experience.

Responsibilities

• Design, develop, test, and deploy distributed ML systems.
• Collaborate to define roadmap and architecture.
• Mentor junior engineers and promote best practices.
• Improve performance for millions of documents and data ingestion.

Skills

Software development

Design/Architecture

Programming experience

C#

C++

Java

Perl

OO Design

Distributed systems

Education

Bachelor's degree in CS/Engineering/Math

Foreign degree accepted

Job description

Amazon is seeking a Software Development Engineer to join the AWS Quick RAG team, building scalable ingestion pipelines for multi-modal content (PDF, audio, video, tables) and leveraging computer vision and ML to power Quick Suite’s processing and search capabilities.

You will design, develop, test, and deploy distributed ML systems, collaborate across teams to shape the roadmap, and mentor junior engineers while delivering features for enterprise customers at scale.