Machine Learning Engineer 5 - Platform Engineer

Changing the world through digital experiences is what Adobe's all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences!
Machine Learning
Staff Software Engineer
In-Person
9+ years of experience
AI

Description For Machine Learning Engineer 5 - Platform Engineer

Adobe is seeking a Machine Learning Engineer 5 - Platform Engineer to join their AI Platform team. This role involves developing, operating, and supporting Adobe's AI Platform, with responsibilities spanning all phases of development from early specs to release. The ideal candidate will be a hands-on problem solver proficient in Golang/Python-based software development, with experience in ML solutions, cloud platform services, workflow orchestrators, and data pipeline solutions.

Key Responsibilities: • Conceptualize, design, develop, debug, deploy, and monitor products and solutions at scale • Plan, estimate efforts, and analyze risks for projects • Drive new layers, solutions, workflows, and features • Optimize solutions for frugality without compromising stability or resiliency

Requirements: • Bachelor's or Master's degree in engineering • 9-12 years of relevant industry experience • Proven expertise in building large-scale platforms on Kubernetes • Strong programming skills in Python and Go • Experience with latest ML development tools such as PyTorch • Track record of delivering cloud-scale, data-driven products and services • Exposure to container runtime environments • Experience in building, deploying, and managing infrastructures in public clouds (specifically AWS)

This role offers the opportunity to work on cutting-edge AI technologies and contribute to Adobe's mission of changing the world through digital experiences. The successful candidate will be part of a team that values innovation, problem-solving, and delivering high-quality software solutions.

Last updated a month ago

Responsibilities For Machine Learning Engineer 5 - Platform Engineer

  • Develop, operate, and support Adobe's AI Platform
  • Handle all phases of development, from early specs to release
  • Conceptualize, design, develop, debug, deploy, and monitor products and solutions at scale
  • Plan, estimate efforts, and analyze risks for projects
  • Drive new layers, solutions, workflows, and features
  • Optimize solutions for frugality without compromising stability or resiliency

Requirements For Machine Learning Engineer 5 - Platform Engineer

Python
Go
Kubernetes
  • Bachelor's or Master's degree in engineering
  • 9-12 years of relevant industry experience
  • Proven expertise in building large-scale platforms on Kubernetes
  • Strong programming skills in Python and Go
  • Experience with latest ML development tools such as PyTorch
  • Track record of delivering cloud-scale, data-driven products and services
  • Exposure to container runtime environments
  • Experience in building, deploying, and managing infrastructures in public clouds (specifically AWS)

Benefits For Machine Learning Engineer 5 - Platform Engineer

  • Opportunity to work on cutting-edge AI technologies
  • Contribute to Adobe's mission of changing the world through digital experiences
  • Be part of a team that values innovation and problem-solving

Interested in this job?

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