Sr Staff Machine Learning Engineer, Adobe Firefly Services

Adobe

Base: $190,200 - $345,650 annually (us); californi...
Not specified
10+ years machine learning experience
3+ years leading gpu-intensive genai systems
Expertise in pytorch, cuda, triton, tensorrt
Adobe is seeking a Senior Staff Machine Learning Engineer for its Firefly Services team, focusing on the development of generative AI systems that enhance Adobe's product offerings. The role requires extensive experience in machine learning, particularly in GPU-intensive systems, and emphasizes collaboration, leadership, and innovation

Job Summary

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

Matching Summary

Match Score: 85

Adobe is seeking a Senior Staff Machine Learning Engineer for its Firefly Services team, focusing on the development of generative AI systems that enhance Adobe's product offerings. The role requires extensive experience in machine learning, particularly in GPU-intensive systems, and emphasizes collaboration, leadership, and innovation.

Salary

Base: $190,200 - $345,650 annually (US); California: $238,700 - $345,650; Washington: $223,500 - $323,700; Bonus/Equity: Short-term incentives via Annual Incentive Plan; Equity awards may be eligible

Skills & Requirements

Must-have

  • 10+ years machine learning experience
  • 3+ years leading GPU-intensive GenAI systems
  • Expertise in PyTorch, CUDA, Triton, TensorRT
  • Deep understanding of diffusion models and transformers
  • Experience with model inference strategies and optimization

Nice-to-have

  • Kubernetes and distributed systems expertise
  • MLOps platform hands-on experience
  • Strong leadership in matrixed organizations
  • Track record of driving technical alignment
  • Experience with enterprise-scale model customization

Key Requirements

  • MS or PhD in Computer Science, Machine Learning, or related field
  • 10+ years of experience in machine learning including production deployments
  • 3+ years leading large-scale GPU-intensive GenAI systems
  • Equivalent industry experience to advanced degree

Work Rights

Not specified

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