Staff Applied Scientist - Ai Guardrails

Adobe Media and Data Science Research (MDSR) Laboratory

Base: $164,000 - $313,300 annually (us); californi...
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Phd or ms in computer science or related field
8+ years deploying ml systems in production
Expertise in multimodal machine learning
** Adobe is seeking a Staff Applied Scientist to lead the development of a guardrails platform for generative AI systems, focusing on safety, scalability, and robust architecture. The ideal candidate will have extensive experience in machine learning, particularly in multimodal systems, and will contribute to ensuring the responsible deployment of AI technologies. **

Job Summary

  • The role involves architecting end-to-end systems that integrate data pipelines, detection, evaluation, and model control mechanisms for the Adobe Firefly platform.
  • Candidates will drive applied ML initiatives spanning data-centric safety, detection, and feedback-driven system improvement to ensure responsible generative AI.
  • Adobe empowers a culture where all employees are encouraged to innovate with AI and make an impact on the future of creativity.

Matching Summary

Match Score: 75

** Adobe is seeking a Staff Applied Scientist to lead the development of a guardrails platform for generative AI systems, focusing on safety, scalability, and robust architecture. The ideal candidate will have extensive experience in machine learning, particularly in multimodal systems, and will contribute to ensuring the responsible deployment of AI technologies. **

Salary

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

Skills & Requirements

Must-have

  • PhD or MS in Computer Science or related field
  • 8+ years deploying ML systems in production
  • Expertise in multimodal machine learning
  • Experience with large-scale dataset processing
  • Proficiency in Python and PyTorch ecosystems

Nice-to-have

  • Background in trust and safety systems
  • Experience with content moderation infrastructure
  • Research contributions in responsible AI
  • Ability to mentor applied scientists and engineers
  • Experience using AI-assisted development tools

Key Requirements

  • PhD or MS degree required
  • 8+ years of production ML experience
  • Strong intuition for latency and cost trade-offs

Work Rights

Not specified

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