Research Scientist/engineer - Photoshop

Adobe Adobe · Enterprise · Seattle, WA

Research Scientist/Engineer at Adobe focused on image generation/restoration, low-level vision, and image editing for Photoshop, with an eventual posture toward productization. Requires expertise in AI, ML, computer vision, and image processing, with a preference for experience in light transport, image formation, or physically based rendering, and leveraging synthetic 3D scene data.

What you'd actually do

  1. Work towards long-term results-oriented research goals, while identifying intermediate achievements.
  2. Contribute to research that can be applied to Adobe product development.
  3. Help integrating novel research work into Adobe’s product.
  4. Lead and collaborate on research projects across different Adobe divisions.

Skills

Required

  • Ph.D. in machine learning, AI, computer science, statistics, or scene semantic understanding
  • Experience communicating research for public audiences of peers
  • Experience working in teams
  • Knowledge in a programming language

Nice to have

  • 1+ years of professional full-time experience
  • 2+ year(s) of internship with primary emphasis on AI research in image generation, low level vision, image restoration, and segmentation
  • Experience in collaboration with a team with varied strengths
  • 4+ First-author publications at peer-reviewed AI conferences (e.g. NIPS, CVPR, ECCV, ICML, ICLR, ICCV, and ACL)
  • Experience in developing and debugging in Python
  • light transport
  • image formation
  • physically based rendering
  • leveraging synthetic 3D scene data for training or analyzing learning-based models
  • scene relighting
  • illumination transfer
  • harmonization
  • appearance editing
  • generating or using simulated data to improve model controllability and realism

What the JD emphasized

  • Ph.D. and solid publications in machine learning, AI, computer science, statistics, or scene semantic understanding.
  • Experience communicating research for public audiences of peers.
  • 4+ First-author publications at peer-reviewed AI conferences (e.g. NIPS, CVPR, ECCV, ICML, ICLR, ICCV, and ACL).

Other signals

  • image generation
  • image restoration
  • low level vision
  • image editing
  • productization