Senior Applied Scientist - Ai Guardrails Platform

Adobe

Base: $164,000 - $313,300 annually (us); californi...
Not specified
Phd or ms in computer science or related field
8+ years production ml system experience
Expertise in multimodal machine learning
Adobe is seeking a Senior Applied Scientist for its Ai Guardrails Platform, focused on ensuring the responsible deployment of generative AI systems. The role involves architecting scalable safety systems in machine learning and leading initiatives that enhance the robustness of models across multimodal applications

Job Summary

  • The role involves architecting end-to-end systems that integrate data pipelines, detection, evaluation, and model control mechanisms for generative AI safety.
  • Candidates will drive high-impact technical initiatives to define architectural patterns enabling guardrail systems to scale across products and enterprise use cases.
  • Adobe empowers employees to innovate with AI and seeks candidates eager to shape the long-term technical strategy for robust, scalable, and responsible generative AI systems.

Matching Summary

Match Score: 85

Adobe is seeking a Senior Applied Scientist for its Ai Guardrails Platform, focused on ensuring the responsible deployment of generative AI systems. The role involves architecting scalable safety systems in machine learning and leading initiatives that enhance the robustness of models across multimodal applications.

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 production ML system experience
  • Expertise in multimodal machine learning
  • Proficiency in Python and PyTorch
  • Experience with large-scale dataset processing

Nice-to-have

  • Experience with trust and safety systems
  • Background in content moderation
  • Research contributions in responsible AI
  • Ability to mentor applied scientists
  • Experience deploying ML for large user bases

Key Requirements

  • PhD or MS degree required
  • 8+ years of relevant experience
  • Strong experimental design skills

Work Rights

Not specified

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