CareerPlan

Sr. Machine Learning Engineer

Seattle, Washington, United StatesFull-time$168k–$262k2026-11-06 → 2026-11-10

Core

Architect and lead large-scale ML training and real-time inference systems for next-generation GenAI workloads that determine ad relevance across Amazon's advertising surface.

Role type

Senior IC machine learning infrastructure engineer (GenAI/LLM)

Builds

Production-ready LLM inference infrastructure and scalable ML training systems for Amazon Ads

Domain

Advertising technology, Generative AI, Large Language Models

Deliverable

production ML models

Required skills

Large-scale system architecture, LLM inference optimization, ML pipeline design, technical strategy definition, cross-team technical leadership, mentorship

Preferred skills

Full software development lifecycle ownership, coding standards, code reviews, source control management, build processes, testing, operations

Technologies

LLMs, Generative AI, ML training frameworks, Real-time inference systems

Responsibilities

Define technical strategy for LLM inference infrastructure, drive improvements in scalability and automation for ML systems, partner with scientists to optimize end-to-end ML pipelines, establish ML infrastructure best practices, make tradeoff decisions on complex GenAI problems, mentor engineers

Seniority

Senior, hands-on IC with architectural leadership