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# Software Engineer - AI/ML, Ads Marketing...

- **Company:** Amazon.com, Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Experienced
- **Salary:** $158,100.0 - $213,800.0
- **Contract:** Internship / Graduate position
- **Skills:** Java (Programming Language), Artificial Intelligence, Software Applications, Computer Vision, C Sharp (Programming Language), C++ (Programming Language), Code Review, Computer Programming, Extract Transform Load (ETL), Software Design Patterns, Perl (Programming Language), Machine Learning, Software Architecture, Software Engineering, Data Processing, Multithreading, Large Language Models, Deep Learning, Reliability of Systems, Generative AI, Information Technology, Optimization Algorithms, Machine Learning Operations, Software Coding, Software Version Control, Programming Languages
- **Published:** June 4, 2026
- **Apply:** https://www.juju.com/job/00000000g53t76

## About the Role

3+ years of non-internship professional software development experience

 - 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

 - 2+ 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

 - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field

 - Experience programming with at least one software programming language

 - Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

 - Strong AI/ML interests and qualifications in Artificial Intelligence, machine learning, and/or Generative AI, such as computer vision, deep learning models

Preferred Qualifications

 - Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

 - Experience with data modeling, warehousing and building ETL pipelines

 - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience building complex software systems that have been successfully delivered to customers

## Description

Design, develop, and deploy production-grade engineering and machine learning systems that deliver measurable customer impact at scale. Write clean, efficient, and well-tested code while collaborating with cross-functional teams to deliver scalable systems. Own end-to-end AI/ML pipelines including data processing, optimization, and inference infrastructure. Lead technical design discussions, mentor engineers, and drive architectural decisions for AI/ML solutions. Collaborate with Applied Scientists to productionize research innovations while ensuring system reliability, performance, and cost efficiency. Demonstrate strong ownership of complex technical problems spanning multiple services and teams. Continuously learn new AI/ML technologies and engineering best practices while demonstrating Amazon's Leadership Principles, particularly Ownership and Deliver Results, in daily work.


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