Adobe - Seattle, WA

posted 2 months ago

Full-time - Mid Level
Seattle, WA
Publishing Industries

About the position

The role involves designing and building cloud machine learning (ML) platform solutions for Adobe's Firefly generative AI models. This strategic position focuses on enhancing the infrastructure for resource management, monitoring, and job scheduling, while collaborating with various teams to improve model training efficiency and performance.

Responsibilities

  • Design, architect and build cloud ML platform solutions related to resource management, monitoring, allocation, and job scheduling.
  • Design, architect and build reliability, observability and utilization infrastructure for cloud computing resources.
  • Collaborate with data platform engineers and architects to integrate low latency data pipelines into the ML platform for model training.
  • Work with machine learning and data scientists to identify and resolve requirements to improve training cost and turnaround time on the ML platform.
  • Monitor machine learning platform performance and modify infrastructure to fit fluid cloud resource needs.
  • Write high quality, product level code that is easy to maintain and test following standard methodologies.

Requirements

  • Proficiency in at least two of: Linux, Ansible, Docker, Kubernetes (3+ years).
  • Expert in Python and/or C++.
  • Experience in distributed computing (3+ years).
  • Experience in HDFS, Spark, Presto (3+ years).
  • Experience working with AWS or similar cloud infrastructure (3+ years).
  • Experience with hardware resource management for ML training and/or deployment.
  • B.S., M.S., or Ph.D. in Computer Science, Computer Engineering or a related area.

Benefits

  • Competitive salary range of $135,200 -- $250,900 annually based on location and experience.
  • Short-term incentives in the form of the Annual Incentive Plan (AIP).
  • Potential eligibility for long-term incentives in the form of a new hire equity award.
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