Sr Machine Learning Engineer

Adobe Media and Data Science Research (MDSR) Laboratory

Multiple Locations
Base: $172,500 -- $306,625 annually; bonus/equity:...
Generative ai systems
Pytorch, cuda, triton, tensorrt
Diffusion models, transformers, gans
In this high-impact role, you will work with a team of talented engineers in building scalable, high-performance generative AI systems—powering features across Adobe products like Firefly, Photoshop, Illustrator, Express, Stock, and Premiere

Job Summary

  • In this high-impact role, you will work with a team of talented engineers in building scalable, high-performance generative AI systems—powering features across Adobe products like Firefly, Photoshop, Illustrator, Express, Stock, and Premiere.
  • You will design and develop efficient inference pipelines, optimize models for latency and through at inference, and build APIs and ecosystems that integrate both Adobe’s first-party and third-party generative models into Adobe suite of products that serve individual and enterprise customers.
  • Foster a culture of innovation , technical excellence, and continuous improvement across the organization.

Matching Summary

In this high-impact role, you will work with a team of talented engineers in building scalable, high-performance generative AI systems—powering features across Adobe products like Firefly, Photoshop, Illustrator, Express, Stock, and Premiere.

Salary

Base: $172,500 -- $306,625 annually; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Generative AI systems
  • PyTorch, CUDA, Triton, TensorRT
  • Diffusion models, transformers, GANs
  • Scalable, high-performance systems
  • GPU-accelerated pipelines

Nice-to-have

  • Culture of innovation
  • Technical excellence
  • Continuous improvement
  • Driving alignment in matrixed organizations

Key Requirements

  • MS or PhD in Computer Science, Machine Learning, or related field
  • 10+ years of experience in machine learning
  • 3+ years of experience leading large-scale, GPU-intensive GenAI systems
  • Experience with GenAI frameworks and tools
  • Good understanding of generative model architectures

Work Rights

Not specified

Tailored Resume

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