Staff Software Engineer - AI/ML Systems and Reliability

Adobe is looking for a Staff Software Engineer – AI/ML Systems, MLOps & Reliability to help build and scale the platform powering Adobe Experience Platform’s Personalization ML solutions and Generative AI capabilities. 

This role sits at the intersection of software engineering, MLOps, infrastructure, and reliability engineering. You will help design and operate the foundational platform that enables scalable model training, reliable inference, automated ML workflows, and production-grade AI systems for enterprise-scale personalization use cases. 

Partnering closely with engineering, product, and data science teams, you will build systems that support intelligent audience creation, journey optimization, and personalization at scale. You will join a collaborative and highly technical team of engineers and scientists with deep expertise in distributed systems and machine learning. 

The ideal candidate enjoys both building platform capabilities for ML systems and operating highly reliable cloud-native infrastructure. This is a hands-on role where you will contribute across MLOps platform development, distributed systems engineering, DevOps automation, and production reliability. 

What You’ll Do 

AI/ML Platform & MLOps 

• Architect and build infrastructure for AI/ML systems, including Personalization and Generative AI platforms. 

• Design and build MLOps capabilities such as model deployment pipelines, feature stores, model registries, and inference infrastructure. 

  This is an excerpt. Read the full job description on Adobe careers →