Applied Scientist 4

Adobe Media and Data Science Research (MDSR) Laboratory

Not specified (assumed hybrid or remote based on industry trends)
Master's or phd in computer science
Experience with pytorch or tensorflow
Strong python and c++ programming skills
Adobe is seeking an Applied Scientist (Level 4) to spearhead the development of generative AI capabilities for Creative Cloud, focusing on graphics and vector-based design. The role demands expertise in machine learning, computer graphics, and system engineering to convert research into scalable solutions impacting millions of users

Job Summary

  • This role leads the development of next-generation generative AI capabilities for Adobe Creative Cloud with a focus on graphics and vector-based design workflows.
  • You will architect and develop end-to-end systems spanning model training, optimization, and deployment in production environments while driving performance improvements for real-time applications.
  • Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity, and personalized customer experiences.

Matching Summary

Match Score: 85

Adobe is seeking an Applied Scientist (Level 4) to spearhead the development of generative AI capabilities for Creative Cloud, focusing on graphics and vector-based design. The role demands expertise in machine learning, computer graphics, and system engineering to convert research into scalable solutions impacting millions of users.

Skills & Requirements

Must-have

  • Master's or PhD in Computer Science
  • Experience with PyTorch or TensorFlow
  • Strong Python and C++ programming skills
  • Generative models and image processing experience
  • Production deployment of ML systems

Nice-to-have

  • Experience with diffusion models or transformers
  • Background in computer graphics or 3D modeling
  • Publications in SIGGRAPH, CVPR, or NeurIPS
  • Experience with creative tools design applications
  • Multimodal systems expertise

Key Requirements

  • Master's or PhD in Computer Science, Machine Learning, or related field
  • Proven experience shipping features into production at scale
  • Strong foundation in mathematics including linear algebra and optimization

Work Rights

Not specified

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