Systems Engineer, AI/ML

World's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuous innovation.
$120,000 - $180,000
Cloud
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Cloud · Enterprise SaaS

Description For Systems Engineer, AI/ML

AWS is seeking a Systems Engineer to join their AI/ML team, focusing on supporting and operating some of the world's most comprehensive artificial intelligence and machine learning services. This role offers an exceptional opportunity to work with cutting-edge technologies like SageMaker, Bedrock, and Amazon Q while being part of AWS Utility Computing (UC) organization. The position combines the excitement of a startup environment with the resources of a global tech leader.

The role involves operating and engineering systems at massive scale, gaining world-class experience in cloud computing, artificial intelligence, and machine learning. You'll work alongside passionate professionals who prioritize customer success and continuous improvement. Key responsibilities include becoming a subject matter expert on multiple AWS services, developing and operating distributed systems, and implementing innovative solutions for complex technical challenges.

AWS offers a unique environment where you can contribute to truly disruptive products in high-growth environments. You'll have the opportunity to define, build, own, and run services while solving unique problems in rapidly evolving AWS services. The position provides extensive learning opportunities, including studying under recognized Amazon Senior and Principal Engineers.

The ideal candidate should have strong experience with Linux/Unix systems, networking fundamentals, and distributed systems at scale. This role offers significant growth potential, with opportunities to develop both technical and leadership skills while working on some of the most exciting and rapidly evolving services in AWS.

Last updated a day ago

Responsibilities For Systems Engineer, AI/ML

  • Operating the world's most advanced cloud computing infrastructure
  • Simplifying and reinventing systems, processes, and tools
  • Building unique solutions to customer technical problems
  • Supporting development and management of Compute, Database, Storage, IoT, Platform, and Productivity Apps services
  • Supporting and operating AI/ML services including SageMaker, Bedrock, and Amazon Q

Requirements For Systems Engineer, AI/ML

Python
Ruby
Go
Java
Linux
  • Experience with Linux/Unix
  • Knowledge of systems engineering fundamentals (networking, storage, operating systems)
  • Experience in networking, storage systems, operating systems and hands-on systems engineering
  • Experience in automating, deploying, and supporting large-scale infrastructure
  • Experience with distributed systems at scale

Benefits For Systems Engineer, AI/ML

  • Career development and mentorship opportunities
  • Work-life harmony
  • Inclusive team culture
  • Employee-led affinity groups
  • Knowledge-sharing resources

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