Applied Scientist - Multimodal

Adobe

Base: $142,700 - $270,950 annually; bonus/equity: ...
Not specified (assuming hybrid based on industry norms)
Phd or ms in computer science or related field
5+ years experience in applied ml or generative ai research
Deep expertise in large-scale diffusion models and transformers
Adobe is seeking an Applied Scientist for its Firefly Applied Science & Machine Learning team, focusing on developing safe and compliant generative AI systems. The ideal candidate will have a strong background in multimodal generative models and a PhD or MS in AI or related fields, along with significant experience in machine learning and research

Job Summary

  • The role focuses on building next-generation multimodal guardrail systems to ensure generative AI is safe, controllable, and respectful of intellectual property.
  • Candidates will drive inference-time alignment optimization and develop new evaluation methodologies for multimodal IP compliance.
  • Adobe offers a competitive compensation range up to $270,950 annually depending on location and experience.

Matching Summary

Match Score: 85

Adobe is seeking an Applied Scientist for its Firefly Applied Science & Machine Learning team, focusing on developing safe and compliant generative AI systems. The ideal candidate will have a strong background in multimodal generative models and a PhD or MS in AI or related fields, along with significant experience in machine learning and research.

Salary

Base: $142,700 - $270,950 annually; Bonus/Equity: Annual Incentive Plan and equity awards eligible; Benefits: Comprehensive benefits programs not specified

Skills & Requirements

Must-have

  • PhD or MS in Computer Science or related field
  • 5+ years experience in applied ML or generative AI research
  • Deep expertise in large-scale diffusion models and transformers
  • Strong background in Vision-Language Models and multimodal reasoning
  • Proficiency in Python and PyTorch for training large models
  • Experience with model fine-tuning and alignment strategies

Nice-to-have

  • Publications in leading conferences like NeurIPS or CVPR
  • Experience deploying generative models to large user bases
  • Background in safety evaluation frameworks and adversarial robustness
  • Demonstrated ability to use AI coding tools for rapid prototyping
  • Experience working in cross-functional research-to-product environments

Key Requirements

  • PhD or MS degree required
  • 5+ years of industry or academic research experience
  • Expertise in large-scale generative model deployment

Work Rights

Not specified

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