Senior ML Engineer - Agentic Platform & RL Systems

Amazon.com Services LLC; Bellevue (WA); On-site; USD 180,000 - 240,000; Full time

Job summary

Amazon.com Services LLC is seeking a Senior Machine Learning Engineer to own core systems for an agentic AI platform. You will select and own a foundational area—evaluation infrastructure, RL training systems, self-learning pipelines, or inference serving—and design, implement, and operate it end to end with reliable interfaces for scientists and partner teams.

You will work with applied scientists and engineers to translate research prototypes into scalable infrastructure, ensuring low-latency

Qualifications

• 5+ years of non-internship professional software development experience.
• 5+ years of programming with at least one software programming language experience.
• 5+ years of leading design or architecture of new and existing systems.
• Experience as a mentor, tech lead or leading an engineering team.

Responsibilities

• Design, build, and operate major components of the agentic AI platform: evaluation harnesses, sandboxed environments, RL and post-training pipelines, self-learning data pipelines, or inference serving for agentic traffic.
• Lead design work in your area: write design documents, drive them through review, and make build-versus-adopt calls within your scope.
• Own reliability and performance: instrument your systems, drive down failure modes that make results untrustworthy, and report platform health in metrics rather than anecdotes.
• Partner with applied scientists to turn research code into production infrastructure and expose it through interfaces other teams can use without your involvement.
• Mentor engineers on your team, raise the engineering bar through code and design reviews, and help set technical direction across your systems.

Skills

Software development

System design

Mentorship

Leadership

Python

Education

Bachelor's degree in Computer Science or equivalent

Tools

TensorFlow

PyTorch

Job description

Amazon.com Services LLC is seeking a Senior Machine Learning Engineer to own core systems for an agentic AI platform. You will select and own a foundational area—evaluation infrastructure, RL training systems, self-learning pipelines, or inference serving—and design, implement, and operate it end to end with reliable interfaces for scientists and partner teams.

You will work with applied scientists and engineers to translate research prototypes into scalable infrastructure, ensuring low-latency