The Challenge
Search, Discovery, and Content AI (SDC) is a cornerstone of Adobe's ecosystem, enabling creative professionals and everyday users to access, discover, and work with a wide array of digital assets and creative content — including images, videos, documents, vector graphics, brushes, colors, and more. Users need quick access to what they've built, what has been shared with them, and what's available across marketplaces like Adobe Stock. With increasing demand for intuitive search, contextual discovery, and seamless content interactions across Adobe products like Firefly, Acrobat, Lightroom, Express and Adobe Stock, SDC is evolving into a Generative AI powerhouse.
At the heart of this work is the Content Processing Framework (CPF), a unified Agentic platform for efficient, reliable, and scalable content processing — both ML and non-ML — across all Adobe content. It is the backbone of Intelligent Content Processing within Adobe offerings, supporting hundreds of applied researchers, millions of end customers,



and billions of content pieces that power our customers' entire digital journey.
This team develops cutting-edge solutions for Intent understanding, personalized recommendations, and action orchestration to transform how users interact with Content. Working with extensive datasets and pioneering technologies, you will help redefine the discovery experience and drive user success. We match the pace, innovation, and excitement typical of new enterprises, backed by the resources and infrastructure of Adobe. If working at the intersection of machine learning, generative AI, and real-time systems excites you, we'd love to have you join us.
Responsibilities
As a Machine Learning Engineer on the SDC team, you will develop and optimize machine learning models and algorithms for search, recommendation, and content understanding across diverse content types. You will build and deploy scalable generative AI solutions. These will enable intelligent content discovery

📌 Machine Learning Engineer (Noida)
🏢 Adobe
📍 Noida