Machine Learning Engineer, Firefly Services

Adobe

Base: $125,600 - $234,150 annually (us); californi...
Not specified (assuming hybrid based on industry norms)
Senior machine learning engineer experience
Pytorch and cuda proficiency
Generative model architecture knowledge
Adobe is seeking a Senior Machine Learning Engineer for its Firefly Services team, focusing on building scalable generative AI systems for various Adobe products. The ideal candidate will have experience in machine learning, particularly with GPU-intensive systems, and will contribute to the design and optimization of inference pipelines and APIs

Job Summary

  • This role involves designing and developing core GenAI services that integrate a wide range of generative models into Adobe's flagship products.
  • Candidates will build and optimize GPU-accelerated pipelines prioritizing performance, scalability, and reliability for both training and inference.
  • The team fosters a culture of innovation and technical excellence while mentoring other ML engineers to tackle complex engineering challenges.

Matching Summary

Match Score: 85

Adobe is seeking a Senior Machine Learning Engineer for its Firefly Services team, focusing on building scalable generative AI systems for various Adobe products. The ideal candidate will have experience in machine learning, particularly with GPU-intensive systems, and will contribute to the design and optimization of inference pipelines and APIs.

Salary

Base: $125,600 - $234,150 annually (US); California: $161,700 - $234,150; Washington: $142,500 - $206,275; Equity/AIP: Not specified

Skills & Requirements

Must-have

  • Senior Machine Learning Engineer experience
  • PyTorch and CUDA proficiency
  • Generative model architecture knowledge
  • GPU-accelerated pipeline optimization
  • Production-scale deployment experience

Nice-to-have

  • Leadership in matrixed organizations
  • Experience with Kubernetes and MLOps
  • Fostering culture of innovation
  • Model serving and orchestration expertise

Key Requirements

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

Work Rights

Not specified

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