Staff Machine Learning Engineer

Overview

Staff Machine Learning Engineer role at Adobe .

Adobe Photoshop is seeking a Staff Machine Learning Services Engineer to serve as the technical lead for our Generative AI Services domain. In this high-impact role, you will lead engineering efforts collaborating closely with Research and product teams to deliver scalable, high-performance GenAI systems powering flagship features in Photoshop, Lightroom, Firefly, and our GenAI Enterprise offerings. You will design and implement APIs and services that integrate Adobe’s proprietary models and third-party models. As a hands-on technical leader, you’ll define the architectural direction, uphold high engineering standards, mentor peers, and drive the productization of a rapidly growing GenAI portfolio. You’ll be joining a committed, multi-skilled team working on the foundation for some of Adobe’s most groundbreaking creative tools.

What You’ll Do

• Design, build, and maintain scalable, production-grade GenAI services in the cloud
• Lead architectural design and guide the development of optimized ML pipelines for cloud-based inference and integration
• Drive the bridge between research and product teams throughout the lifecycle—from prototyping to deployment
• Optimize model performance, GPU utilization, and service orchestration at scale
• Work collaboratively with PMs, TPMs, and engineering leads to build and implement the GenAI roadmap
• Define technical direction, conduct building reviews, and establish guidelines for reliability, scalability, and maintainability
• Own and improve CI / CD systems and monitoring pipelines for ML services
• Mentor engineers across ML and backend fields, encouraging a culture of technical excellence
• Provide tier-1 production support, ensuring service SLAs and customer satisfaction

What You Need To Succeed

Adobe is an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.

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