Machine Learning Engineer, Firefly Services

Adobe Media and Data Science Research (MDSR) Laboratory

Base: $125,600 - $234,150 annually (us); base: $16...
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Senior machine learning engineer experience
Pytorch cuda triton tensorrt expertise
Gpu-accelerated pipeline optimization
** Adobe is seeking a Senior Machine Learning Engineer for its Firefly Services team, focusing on building scalable generative AI systems that enhance its suite of products. The ideal candidate will have experience in machine learning, particularly in large-scale, GPU-intensive environments, and will play a key role in model optimization and API development. **

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 focus 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: 75

** Adobe is seeking a Senior Machine Learning Engineer for its Firefly Services team, focusing on building scalable generative AI systems that enhance its suite of products. The ideal candidate will have experience in machine learning, particularly in large-scale, GPU-intensive environments, and will play a key role in model optimization and API development. **

Salary

Base: $125,600 - $234,150 annually (US); Base: $161,700 - $234,150 (California); Base: $142,500 - $206,275 (Washington)

Skills & Requirements

Must-have

  • Senior Machine Learning Engineer experience
  • PyTorch CUDA Triton TensorRT expertise
  • GPU-accelerated pipeline optimization
  • Generative model architecture knowledge
  • Production-scale ML deployment

Nice-to-have

  • Kubernetes and distributed systems experience
  • MLOps platform expertise
  • Leadership in matrixed organizations
  • Model customization and orchestration skills
  • Culture of innovation and technical excellence

Key Requirements

  • MS or PhD in Computer Science or related field
  • 1-3+ years of production-scale ML deployment experience
  • 1-3+ years leading large-scale GPU-intensive GenAI systems

Work Rights

Not specified

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