Senior GenAI Systems Engineer – Inference & APIs

Adobe; Seattle (WA); On-site; USD 223,500 - 323,700; Full time

Job summary

Adobe Firefly’s Generative AI Services team is seeking a Senior Staff Machine Learning Engineer for our GenAI Services area in Seattle. You will design and develop scalable inference pipelines, optimize models for latency, and build APIs that integrate first- and third-party generative models into Adobe’s suite.

This high-impact role requires a PhD or MS, 10+ years in ML, and 3+ years leading GPU‑intensive GenAI systems.

Qualifications

• MS/PhD in Computer Science, Machine Learning, or a related field—or equivalent industry experience.

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 model
• 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.

Skills

Machine learning

Production-scale deployments

GenAI systems leadership

Communication leadership

Education

MS/PhD in CS/ML or related

Tools

PyTorch

CUDA

Triton

TensorRT

Nvidia Dynamo

Python

Job description

Adobe Firefly’s Generative AI Services team is seeking a Senior Staff Machine Learning Engineer for our GenAI Services area in Seattle. You will design and develop scalable inference pipelines, optimize models for latency, and build APIs that integrate first- and third-party generative models into Adobe’s suite.

This high-impact role requires a PhD or MS, 10+ years in ML, and 3+ years leading GPU‑intensive GenAI systems.