Machine Learning Engineer, Adobe Firefly Services

Adobe

Base: $151,800 - $265,350 annually (us); base: $18...
4-7+ years machine learning experience
2+ years leading gpu-intensive genai systems
Experience with pytorch cuda triton tensorrt
This role involves designing core GenAI services and APIs that integrate a wide range of generative models into Adobe's flagship products

Job Summary

  • This role involves designing core GenAI services and APIs that integrate a wide range of generative models into Adobe's flagship products.
  • Candidates will build and optimize GPU-accelerated pipelines for both customized model training and inference while prioritizing performance and scalability.
  • The team fosters a culture of innovation where engineers tackle complex engineering challenges at the forefront of the industry.

Matching Summary

This role involves designing core GenAI services and APIs that integrate a wide range of generative models into Adobe's flagship products.

Salary

Base: $151,800 - $265,350 annually (US); Base: $183,300 - $265,350 (California); Base: $165,600 - $239,725 (Washington)

Skills & Requirements

Must-have

  • 4-7+ years machine learning experience
  • 2+ years leading GPU-intensive GenAI systems
  • Experience with PyTorch CUDA Triton TensorRT
  • Deep understanding of diffusion models transformers GANs
  • MS or PhD in Computer Science or related field

Nice-to-have

  • Experience with Kubernetes distributed systems MLOps
  • Track record of driving alignment in matrixed organizations
  • Fostering culture of innovation and technical excellence
  • Hands-on expertise in model serving and orchestration

Key Requirements

  • MS or PhD in Computer Science Machine Learning or equivalent
  • 4-7+ years of production-scale ML deployment experience
  • 2+ years leading large-scale GPU-intensive GenAI systems

Work Rights

Not specified

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