Senior Applied Scientist - Machine Learning Systems Engineer- Photoshop

Adobe

Multiple Locations
$164,000 -- $313,300 annually; not specified; not ...
High-performance gpu kernels (triton/cuda)
Distributed training strategies (zero, tensor parallelism)
Inference acceleration techniques
Work towards long-term results-oriented research goals, while identifying intermediate achievements

Job Summary

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

Matching Summary

Work towards long-term results-oriented research goals, while identifying intermediate achievements.

Salary

$164,000 -- $313,300 annually; Not specified; Not specified

Skills & Requirements

Must-have

  • High-performance GPU kernels (Triton/CUDA)
  • Distributed training strategies (ZeRO, Tensor Parallelism)
  • Inference acceleration techniques
  • Performance profiling (PyTorch Profiler, NVIDIA Nsight)
  • Python and C++ proficiency
  • PyTorch or JAX experience
  • GPU architecture understanding

Nice-to-have

  • Light transport, image formation, or physically based rendering
  • Leveraging synthetic 3D scene data
  • Scene relighting, illumination transfer, harmonization
  • Open-source efficiency libraries contribution
  • Low-level communication libraries (NCCL)
  • Containerization (Docker/Kubernetes)

Key Requirements

  • Master’s or PhD's degree in Computer Science, Electrical Engineering, or related field
  • Foundational Systems Programming
  • Hands-on ML Frameworks
  • GPU Awareness
  • Analytical Mindset

Work Rights

Not specified

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