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 generative AI at Adobe.

As a Lead Machine Learning 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 that 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 solutions for model serving, develop automated monitoring systems, and establish best practices for scaling AI infrastructure. Key focus areas include GPU resource optimization, inference pipeline development, and implementation of advanced techniques like tensor parallelism and model quantization.

Adobe offers a competitive compensation package including comprehensive benefits. You'll join a world-class team working on cutting-edge AI technology that impacts millions of creative professionals globally. The role provides unique opportunities to work with state-of-the-art generative AI models while solving complex technical challenges around performance and scale.

The ideal candidate brings both strong technical skills in ML infrastructure and the ability to collaborate effectively across teams. You'll have the chance to make significant contributions to Adobe's AI strategy while working with the latest advances in generative AI technology. If you're passionate about building scalable AI systems and want to shape the future of creative tools, this role offers an exceptional opportunity to make an impact.