Sr Staff Machine Learning Engineer, Adobe Firefly Services

About the role

Adobe Firefly’s Generative AI Services team is seeking a Senior Staff Machine Learning Engineer for our GenAI Services area. In this high-impact role, you will work with a team of talented engineers in building scalable, high-performance generative AI systems—powering features across Adobe products like Firefly, Photoshop, Illustrator, Express, Stock, and Premiere.

Job Responsibilities

• Design and Development of core GenAI services and APIs that integrate a wide range of generative models into Adobe’s flagship products.
• Design and build ML workflows for enterprise-scale model customization, serving, and ecosystem integration.
• Collaborate with Adobe Research and other model developer teams with a focus on model inference strategies and productization of those models.
• Build and optimize GPU-accelerated pipelines for both (customized) model training and inference—prioritizing performance, scalability, and reliability.
• Foster a culture of innovation, technical excellence, and continuous improvement across the organization.

What You’ll Need To Succeed

• An MS or PhD in Computer Science, Machine Learning, or a related field—or equivalent industry experience.
• 10+ years of experience in machine learning, including production-scale deployments.
• 3+ years of experience leading large-scale, GPU-intensive GenAI systems (training, inference, and optimization).
• Experience with GenAI frameworks and tools such as PyTorch, CUDA, Triton, TensorRT, Nvidia Dynamo, and Python.
• A good understanding of generative model architectures, including diffusion models, transformers, and GANs.
• Good communication and leadership skills, with a track record of driving alignment in matrixed organizations.

Preferred Qualifications

• Experience with model serving, inference, orchestration, and GPU resource management in large-scale environments.
• Hands-on expertise in Kubernetes, distributed systems, and MLOps platforms.