Senior Manager, Applied Research

Adobe

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Work type
On-site
Location
San Jose, CASeattle, WASan Francisco, CA
Employment
Full-time
Posted
20 days ago
Freshness
Confirmed live today

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Similar $226k
$174k most similar roles pay here $276k

This listing doesn't post a salary. Most similar roles pay $194,430–$256,887.

Based on 240 similar postings.

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About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 277 open roles on FindRole.

Listed pay typically runs $148,100–$265,350 across 111 roles with salary data.

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At a glance

TL;DR · Senior Manager, Applied Research

As Senior Manager, Applied Research, you will serve as the technical and strategic steward for the Firefly Foundry team, a managed generative-AI organization. You will lead and grow a distributed team focused on Generative AI while translating state-of-the-art research into production-ready capabilities. Your daily responsibilities include defining strategies to solve customer problems with Generative AI, building scalable data, pre-training, and post-training pipelines across the ML model lifecycle, and ensuring ethical AI practices like bias mitigation. You will utilize expertise in machine learning, computer vision, and large-scale image and video datasets to enable controllable multi-modal content generation. The role addresses the challenge of scaling content creation for media and entertainment enterprises by building custom models that maintain brand safety and workflow efficiency within professional creative ecosystems.

What you'll do

  • Lead and grow a distributed team focused on Generative AI research and development.
  • Define and execute strategies to solve customer problems using Generative AI technologies.
  • Enable controllable and precise multi-modal content generation for professional use cases.
  • Build and maintain scalable data, pre-training, and post-training pipelines across the ML lifecycle.
  • Evaluate and integrate new tools and methodologies to improve infrastructure and workflows.
  • Champion data diversity, bias mitigation, and ethical AI practices within the organization.
  • Translate state-of-the-art research into production-ready capabilities for Adobe platforms.

What we're looking for

  • Ph.D. in CS, Data Science, Engineering, AI/ML, or related field, or equivalent experience.
  • 10+ years of experience in engineering and research leadership managing the full lifecycle of ML models.
  • Deep understanding of ML data lifecycles for modern generative models.
  • Expertise in data quality, governance, versioning, and annotation platforms.
  • Strong grasp of data privacy, security, and ethical AI principles.
  • Experience with large-scale image/video datasets and training generative models.
  • Experience with computer graphics and VFX pipelines (preferred).
  • Experience in computer vision, multimedia, or creative content ecosystems (preferred).

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