Software Engineer - ML and Distributed Systems, Amazon Personalize

Amazon Amazon · Big Tech · Mountain View, CA · Software Development

Software Engineer role focused on building and scaling a large-scale machine learning platform for Amazon Personalize, an AWS service that provides individualized recommendations. The role involves architecting and developing the platform, optimizing performance, and creating solutions for distributed systems.

What you'd actually do

  1. Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
  2. Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
  3. Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
  4. Design and code the right solutions starting with broadly defined problems.
  5. Work in an agile environment to deliver high-quality software.

Skills

Required

  • 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

Nice to have

  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree in computer science or equivalent

What the JD emphasized

  • building & scaling large scale systems
  • ML pipelines
  • extracting maximum performance at every layer of the stack

Other signals

  • large-scale machine learning platform
  • extracting maximum performance at every layer of the stack
  • deep learning AWS Service