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 building systems that use real-world user feedback to continuously measure, calibrate, and improve generative AI models at scale

Job Summary

  • The role focuses on building systems that use real-world user feedback to continuously measure, calibrate, and improve generative AI models at scale.
  • Candidates will own the end-to-end development of feedback systems, from scoping and system design to production deployment and monitoring.
  • Adobe empowers a culture where employees are encouraged to innovate with AI and make an impact through creative platforms.

Matching Summary

The role focuses on building systems that use real-world user feedback to continuously measure, calibrate, and improve generative AI models at scale.

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
  • Ability to design scalable data pipelines for feedback collection

Nice-to-have

  • Experience working in ambiguous problem spaces
  • Understanding of trade-offs between precision and recall
  • Ability to collaborate across engineering and product teams
  • Strategic thinking for adaptive data-driven systems

Key Requirements

  • MS or PhD in Computer Science, Machine Learning, or related field
  • 5+ years of experience in production ML system deployment
  • Strong experimental design and metric definition skills

Work Rights

Not specified

Tailored Resume

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