Sr Machine Learning Engineer- Ml Infrastructure & Data Platforms

Adobe Media and Data Science Research (MDSR) Laboratory

Multiple Locations
Base: $172,500 -- $306,625 annually; bonus/equity:...
Build distributed data loaders
Develop data pipelines
Design batch inference systems
Build the infrastructure that powers large-scale, multimodal AI training and inference

Job Summary

  • Build the infrastructure that powers large-scale, multimodal AI training and inference.
  • Your work will support systems that process billions of data points across large GPU environments.
  • We’re looking for a Senior Machine Learning Engineer to join our Applied Science Data Frameworks team.

Matching Summary

Build the infrastructure that powers large-scale, multimodal AI training and inference.

Salary

Base: $172,500 -- $306,625 annually; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Build distributed data loaders
  • Develop data pipelines
  • Design batch inference systems
  • Implement search and retrieval systems
  • Develop and maintain CI/CD workflows
  • Partner with researchers and engineers
  • Create reusable tools and libraries

Nice-to-have

  • Experience with multimodal data
  • Familiarity with vector databases
  • Collaborative team environment

Key Requirements

  • 8+ years experience
  • Master's degree or Ph.D.
  • Strong Python programming skills
  • Experience with ML frameworks
  • Familiarity with distributed computing tools
  • Experience with cloud platforms
  • Understanding of MLOps practices

Work Rights

Not specified

Tailored Resume

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