Senior Machine Learning Engineer - Firefly

ADOBE

Base: $151,800 - $265,350 annually (varies by loca...
5+ years building and deploying ml systems in production
Strong python and pytorch software engineering skills
Experience with multimodal ml and generative architectures
The role focuses on closing the loop by using production signals and user feedback to continuously measure and improve generative model behavior

Job Summary

  • The role focuses on closing the loop by using production signals and user feedback to continuously measure and improve generative model behavior.
  • Candidates will design production pipelines that ingest user feedback to systematically identify underperforming areas and calibrate model decision boundaries.
  • Adobe empowers employees to innovate with AI and seeks individuals who can build adaptive, data-driven systems that improve with scale.

Matching Summary

The role focuses on closing the loop by using production signals and user feedback to continuously measure and improve generative model behavior.

Salary

Base: $151,800 - $265,350 annually (varies by location); California: $183,300 - $265,350; Washington: $165,600 - $239,725

Skills & Requirements

Must-have

  • 5+ years building and deploying ML systems in production
  • Strong Python and PyTorch software engineering skills
  • Experience with multimodal ML and generative architectures
  • Hands-on experience with preference modeling or RLHF techniques
  • Designing scalable data pipelines for feedback collection

Nice-to-have

  • Ability to operate independently in ambiguous problem spaces
  • Experience balancing short-term delivery with long-term system health
  • Strong experimental design and metric definition skills
  • Collaboration with applied scientists and product teams

Key Requirements

  • MS or PhD in Computer Science, Machine Learning, or related field
  • 5+ years of experience in production ML system deployment
  • Strong expertise in Python and modern ML frameworks like PyTorch

Work Rights

Not specified

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