Lead Machine Learning Engineer, Performance and Scalability, Generative AI

Adobe Firefly is seeking a Lead Engineer to focus on Performance and Scalability for our Generative AI systems, powering flagship products like Photoshop, Illustrator, Express, and firefly.adobe.com. This is a highly strategic role where you'll shape the future of creativity through AI at Adobe.

As a Principal Engineer, you'll be responsible for optimizing high-performance, scalable AI pipelines supporting millions of users worldwide. You'll work closely with machine learning researchers, infrastructure engineers, and applied scientists to ensure generative AI models are efficiently deployed, scaled, and monitored.

The role combines deep technical expertise in ML systems optimization with hands-on engineering leadership. You'll architect ML pipelines for scalable inference, develop high-throughput serving systems, and establish best practices for cloud-native ML architectures. Key focus areas include GPU optimization, automated monitoring, and scalable load testing.

Adobe offers a competitive compensation package ranging from $162,000 to $301,200 annually, along with the opportunity to work on cutting-edge AI technology that impacts creative professionals globally. You'll be part of the team behind Adobe Firefly, our groundbreaking family of AI models transforming content creation across our flagship products.

The ideal candidate brings 8+ years of experience building high-performance ML infrastructure, with deep expertise in Python, C++, and cloud platforms. You should be passionate about optimization, scalability, and creating robust systems that serve millions of users. Join us to shape the future of creative AI at Adobe.