Staff Applied Scientist - Ai Guardrails

Adobe

Base: $164,000 - $313,300 annually (varies by loca...
Not specified (assumed to be hybrid based on industry trends).
Multimodal machine learning expertise
Large-scale ml system architecture
Data-centric safety mechanisms
Adobe is seeking a Staff Applied Scientist to lead the architectural development of a guardrails platform for generative AI, focusing on safety, scalability, and system robustness. The ideal candidate will have extensive experience in machine learning systems, particularly in multimodal applications, and will be responsible for driving key technical initiatives in a collaborative environment

Job Summary

  • The role involves architecting a unified guardrails platform to ensure safe training and deployment of generative models across image, video, and audio.
  • Candidates will drive high-impact technical initiatives by defining architectural patterns that enable guardrail systems to scale across products and enterprise use cases.
  • Adobe offers a competitive compensation range with opportunities for equity awards and an Annual Incentive Plan for non-sales roles.

Matching Summary

Match Score: 85

Adobe is seeking a Staff Applied Scientist to lead the architectural development of a guardrails platform for generative AI, focusing on safety, scalability, and system robustness. The ideal candidate will have extensive experience in machine learning systems, particularly in multimodal applications, and will be responsible for driving key technical initiatives in a collaborative environment.

Salary

Base: $164,000 - $313,300 annually (varies by location); California: $216,400 - $313,300; Washington: $204,800 - $296,600

Skills & Requirements

Must-have

  • Multimodal machine learning expertise
  • Large-scale ML system architecture
  • Data-centric safety mechanisms
  • Production deployment of AI models
  • Python and PyTorch proficiency

Nice-to-have

  • Trust and safety infrastructure experience
  • AI-assisted development tools usage
  • Mentoring applied scientists and engineers
  • Research contributions in responsible AI
  • Content moderation background

Key Requirements

  • PhD or MS in Computer Science, Machine Learning, or related field
  • 8+ years of experience building and deploying ML systems in production
  • Strong expertise in vision-language and generative models

Work Rights

Not specified

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