Amazon
Sr. Machine Learning Engineer, PXT EXR-Ops Tech
$168K–$227K
Bellevue, WA · Senior · Full-time · Posted Sep 22, 2026
- Experience
- 5+ years in several areas; 4+ years of distributed systems experience, or a qualifying bachelor's degree.
- Education
- Bachelor's degree in a listed quantitative field is an alternative to 4+ years of distributed systems experience; preferred: bachelor's degree in computer science or equivalent.
About the job
Leads the design and delivery of large-scale machine learning systems and platforms, including generative AI services, while setting technical strategy and mentoring engineers.
What you'll do
- Define ML strategy and architecture and lead implementation of complex ML systems and serving infrastructure.
- Drive ML best practices, platform decisions, operational excellence, and cross-functional technical initiatives.
- Mentor ML engineers and influence engineering decisions through reviews and technical writing.
What they ask for
- 5+ years of non-internship software development and 5+ years programming experience.
- 5+ years leading system design or architecture, plus experience mentoring, serving as a tech lead, or leading an engineering team.
- Experience building large-scale ML and AI solutions, or training and deploying ML systems; experience with technical support or large-scale optimization is also requested.
- 4+ years of distributed systems experience, or a qualifying bachelor's degree; ML/LLM fundamentals or experience delivering complex software systems to customers.
Nice to have
- 5+ years of full software development life cycle experience.
- Experience defining ML platform strategy or leading product technology discussions.
Pay
168,100.00 - 227,400.00 USD annually (base salary)
Tools
Machine Learning, Large Language Model, MLOps, foundation models, RAG, fine-tuning, RLHF
AI focus
Builds production-grade AI services, including generative AI and LLMs; develops large-scale ML systems and evaluates foundation models, RAG, fine-tuning, and RLHF.
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