ML Engineer: Scalable Production ML Pipelines

Amazon; Bellevue (WA); On-site; USD 144,000 - 194,000; Full time

Job summary

Amazon is seeking a Machine Learning Engineer to design, build, and deploy ML models and systems at scale. You will work with senior engineers and scientists to develop production-grade pipelines, contribute to model training and evaluation, and support end-to-end ML lifecycle.

You will design features to solve real customer problems, mentor teammates, and help raise code quality and reliability across the team.

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of non-internship design or architecture experience of systems.
• 1+ years of software development engineer or related occupational experience.
• 1+ years of designing and developing large-scale, multi-tiered software applications using C#, C++, Java, or Perl.

Responsibilities

• Design, develop, and maintain ML data pipelines and feature engineering workflows.
• Collaborate with Applied Scientists and Data Scientists to translate research prototypes into production systems.
• Monitor model performance in production and implement retraining strategies.
• Contribute to the full software development lifecycle including design, code review, testing, deployment, and operational support.

Skills

Software development

System design

Object-oriented design

Programming in at least one language

Education

Bachelor's degree in CS/Engineering/Math

Bachelor's degree in CS or equivalent

Tools

C#

C++

Java

Perl

Job description

Amazon is seeking a Machine Learning Engineer to design, build, and deploy ML models and systems at scale. You will work with senior engineers and scientists to develop production-grade pipelines, contribute to model training and evaluation, and support end-to-end ML lifecycle.

You will design features to solve real customer problems, mentor teammates, and help raise code quality and reliability across the team.