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Software Engineer - ML and Distributed Systems, Amazon Personalize

Amazon.com

$129,300 - $223,600
Aug 19, 2025
Santa Clara, CA, US
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Amazon Personalize is a deep learning AWS Service that makes it easy for developers to create individualized recommendations for customers. We're building a large-scale machine learning platform and are looking for senior engineers to architect and develop the platform.

Requirements

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience programming with at least one software programming language
  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

Responsibilities

  • Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.
  • Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
  • Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
  • Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
  • Design and code the right solutions starting with broadly defined problems.
  • Work in an agile environment to deliver high-quality software.

Other

  • work safely and cooperatively with other employees, supervisors, and staff
  • adhere to standards of excellence despite stressful conditions
  • communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service
  • follow all federal, state, and local laws and Company policies.
  • If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.