AI/ML Software Engineer - Large-Scale Systems

Amazon Inc.; Santa Clara (CA); On-site; USD 165,000 - 224,000; Full time

Job summary

Amazon Inc. is seeking a Software Development Engineer to design, develop, test, and deploy distributed machine learning systems at scale. You will work with an experienced team on an innovative AI service within the nocode space, using the latest ML technologies, including LLMs, with high visibility across AWS.

You will influence the team’s roadmap, drive system architecture, and foster best practices to deliver a quality product while coaching junior engineers in a fast-paced environment.

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
• 1+ years of software development engineer or related occupational experience.
• 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience.
• 1+ years of Object Oriented Design experience.
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
• Experience programming with at least one software programming language.

Responsibilities

• Design, develop, test, and deploy distributed ML systems and large-scale solutions for a global customer base.
• Collaborate with the team to influence strategy and define the road map.
• Drive system architecture and promote best practices for a high-quality product.
• Coach and develop junior engineers.

Skills

Software development

Distributed systems

C++

Object Oriented Design

Design patterns

Education

Bachelor's degree in CS/Engineering

Job description

Amazon Inc. is seeking a Software Development Engineer to design, develop, test, and deploy distributed machine learning systems at scale. You will work with an experienced team on an innovative AI service within the nocode space, using the latest ML technologies, including LLMs, with high visibility across AWS.

You will influence the team’s roadmap, drive system architecture, and foster best practices to deliver a quality product while coaching junior engineers in a fast-paced environment.