Amazon
Machine Learning Engineer, AWS Analytics Engineering
$144K–$194K
Seattle, WA · Full-time · Posted Sep 18, 2026
- Experience
- 3+ years of non-internship professional software development; 2+ years of non-internship design or architecture; and 1+ year each in software development engineer or related work, large-scale software development using a listed language, and Object Oriented Design.
- Education
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
About the job
Designs, builds, and operates distributed data-platform systems and AI-powered analytics capabilities that process large-scale AWS data and support business decisions.
What you'll do
- Design and evolve scalable distributed systems for workflow orchestration and AI-powered analytics.
- Build multi-agent AI systems, reusable platform components, APIs, and services.
- Own features and production operations end to end, while influencing technical direction and mentoring engineers.
What they ask for
- 3+ years of non-internship professional software development experience.
- 2+ years of non-internship design or architecture experience for new and existing systems.
- At least 1 year of experience developing large-scale software applications, tools, systems, and services using C#, C++, Java, or Perl; and 1 year 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.
Nice to have
- 3+ years of full software development life cycle experience.
- Bachelor's degree in computer science or equivalent.
Pay
143,700.00 - 194,400.00 USD annually (base salary)
Tools
C#, C++, Java, Perl, AWS
AI focus
Build multi-agent AI architectures, GenAI-powered analytics capabilities, and scalable ML products; work with AI/ML technologies including GenAI and LLMs.
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