Sr Staff Machine Learning Engineer, Adobe Firefly Services

Adobe Media and Data Science Research (MDSR) Laboratory

Base: $190,200 - $345,650 annually; location-speci...
Not specified (assumed hybrid or flexible work)
10+ years machine learning experience
3+ years leading gpu-intensive genai systems
Pytorch cuda triton tensorrt expertise
Adobe Firefly’s Generative AI Services team is seeking a Senior Machine Learning Engineer to design and develop high-performance generative AI systems for Adobe’s suite of products. The ideal candidate will have extensive experience in machine learning, particularly with GPU-intensive systems, and will contribute to the technical direction and innovation within the team

Job Summary

  • This role involves designing and developing 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 with a priority on performance and scalability.
  • The position requires mentoring other ML engineers and setting technical direction while tackling complex engineering challenges at the forefront of the industry.

Matching Summary

Match Score: 85

Adobe Firefly’s Generative AI Services team is seeking a Senior Machine Learning Engineer to design and develop high-performance generative AI systems for Adobe’s suite of products. The ideal candidate will have extensive experience in machine learning, particularly with GPU-intensive systems, and will contribute to the technical direction and innovation within the team.

Salary

Base: $190,200 - $345,650 annually; Location-specific ranges apply for California ($238,700+) and Washington ($223,500+); Equity and Annual Incentive Plan eligible

Skills & Requirements

Must-have

  • 10+ years machine learning experience
  • 3+ years leading GPU-intensive GenAI systems
  • PyTorch CUDA Triton TensorRT expertise
  • Diffusion models transformers GANs knowledge
  • Production-scale ML deployment experience

Nice-to-have

  • Kubernetes distributed systems MLOps platforms
  • Model orchestration and resource management
  • Leadership in matrixed organizations
  • Culture of innovation and technical excellence

Key Requirements

  • MS or PhD in Computer Science or related field
  • 10+ years of experience in machine learning
  • 3+ years leading large-scale GPU-intensive GenAI systems

Work Rights

Not specified

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