Applied Scientist 5.5

Adobe

Not specified; not specified; not specified
Not specified
Master's or phd in computer science
Strong foundation in linear algebra and geometry
Experience with pytorch or tensorflow frameworks
Adobe is seeking an Applied Scientist (Level 5.5) to lead the development of innovative generative AI capabilities for its Creative Cloud, focusing on graphics and design workflows. The role requires a blend of expertise in machine learning, computer graphics, and systems engineering to drive impactful initiatives that enhance user experiences for millions of creative users

Job Summary

  • This role leads the design and implementation of advanced generative AI solutions specifically for vector graphics and creative workflows.
  • Candidates will architect end-to-end systems spanning model training, optimization, and deployment to deliver scalable production-ready solutions.
  • The position offers the opportunity to mentor scientists and engineers while shaping technical direction for millions of creative users worldwide.

Matching Summary

Match Score: 85

Adobe is seeking an Applied Scientist (Level 5.5) to lead the development of innovative generative AI capabilities for its Creative Cloud, focusing on graphics and design workflows. The role requires a blend of expertise in machine learning, computer graphics, and systems engineering to drive impactful initiatives that enhance user experiences for millions of creative users.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • Master's or PhD in Computer Science
  • Strong foundation in linear algebra and geometry
  • Experience with PyTorch or TensorFlow frameworks
  • Production-quality Python and C++ programming
  • Optimization for real-time interactive applications

Nice-to-have

  • Experience with diffusion models and transformers
  • Background in computer graphics and 3D modeling
  • Publications in SIGGRAPH, CVPR, or NeurIPS
  • Experience with creative tools and design apps

Key Requirements

  • Master's or PhD degree required
  • Proven experience shipping features at scale
  • Strong problem-solving in ambiguous environments

Work Rights

Not specified

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