Senior ML Engineer — Sustainable AI Systems & Innovation

Amazon.com Services LLC; Seattle (WA); On-site; USD 168,000 - 227,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

RSUs

Sign-on payments

Parental leave

Mental Health Support

Job summary

Amazon.com Services LLC in Seattle, WA is seeking a Senior Machine Learning Engineer to build software and infrastructure that enables scientists to develop, evaluate, and deploy ML models for sustainability applications.

You will work across research workflows and production systems, creating AI-assisted tooling, reusable data and ML infrastructure, and scalable design patterns to support reliable, repeatable experiments.

Qualifications

• 5+ years of professional software development experience.
• 5+ years of programming experience in at least one language.
• 5+ years of leading design or architecture for new and existing systems.
• Experience as a mentor, tech lead, or in leading an engineering team.
• 5+ years of full software development life cycle experience.

Responsibilities

• Build reusable data and ML infrastructure for data processing, model training, and inference.
• Create tools for repeatable experiments and model comparisons with data, code, and configuration.
• Develop and evaluate AI-assisted workflows to help coding agents use the platform correctly.
• Assess coding agent output with automated checks and reviews to maintain reliability.
• Support adoption by documenting trade-offs and maintaining compatibility as components evolve.

Education

Bachelor’s degree in computer science or equivalent

Job description

Amazon.com Services LLC in Seattle, WA is seeking a Senior Machine Learning Engineer to build software and infrastructure that enables scientists to develop, evaluate, and deploy ML models for sustainability applications.

You will work across research workflows and production systems, creating AI-assisted tooling, reusable data and ML infrastructure, and scalable design patterns to support reliable, repeatable experiments.