Principal Scientist, Generation Data Architect (image & Video & Audio)

Adobe

Base: $206,300 - $388,000 annually; location-speci...
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10+ years ml or ai research experience
Expertise in image and video generation
Experience with large-scale foundation models
** Adobe is seeking a Principal Scientist to lead the data strategy for its Firefly multimodal foundation models, focusing on image, video, and audio synthesis. The role emphasizes collaboration across research and engineering teams to enhance model performance and data quality, aimed at delivering powerful creative tools to users. **

Job Summary

  • This role involves shaping the long-term data strategy behind Adobe Firefly's multimodal foundation models for image, video, and audio.
  • The successful candidate will collaborate closely with research and engineering teams to align data design with model architecture and training behavior.
  • Adobe offers a competitive compensation range reflecting the cost of labor across U.S. geographic markets, with specific tiers for California and Washington.

Matching Summary

Match Score: 75

** Adobe is seeking a Principal Scientist to lead the data strategy for its Firefly multimodal foundation models, focusing on image, video, and audio synthesis. The role emphasizes collaboration across research and engineering teams to enhance model performance and data quality, aimed at delivering powerful creative tools to users. **

Salary

Base: $206,300 - $388,000 annually; Location-specific ranges apply for CA ($268k-$388k) and WA ($247.2k-$357.9k); Short-term incentives via Annual Incentive Plan and potential equity awards

Skills & Requirements

Must-have

  • 10+ years ML or AI research experience
  • Expertise in image and video generation
  • Experience with large-scale foundation models
  • Ability to shape data strategies for generative systems

Nice-to-have

  • Strong communication skills for cross-functional teams
  • Mentoring capabilities for other scientists
  • Understanding of synthetic data integration

Key Requirements

  • Master's degree or Ph.D. in Computer Science or related field
  • 10+ years of experience in ML, data systems, or AI research
  • Proven track record with large-scale or foundation models

Work Rights

Not specified

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