Machine Learning Engineer

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About the role

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 innovative 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 and contextual recommendations within Adobe products. This includes Firefly, the Creative Cloud suite, Document Cloud, and Marketing Cloud. Your work will involve extensive data handling, data ingestion, search indexing, analytics, and distributed computing — building platforms that index billions of images, documents, and other assets in real-time. You will apply analytics and machine learning to improve ranking and recommendations within the search workflow, maintain and enhance the search engine, and develop new features using technologies such as Elastic Search, REST web services, SQS/Kafka, Hadoop, and deep learning. Working alongside multi-functional groups, you will integrate ML models into production systems, ensuring high performance, reliability, and user impact. Your role will involve researching, crafting, and implementing groundbreaking techniques in language comprehension, computer vision, and multimodal learning for content and asset discovery. You will contribute to the end-to-end ML pipeline — including data preprocessing, model training, evaluation, deployment, and monitoring — while pushing the boundaries of computational efficiency to meet the needs of real-time, large-scale applications. Partnering with product teams, you will identify customer needs and translate them into innovative solutions that prioritize usability and performance. Additionally, you will mentor and provide technical guidance to junior engineers and multi-functional collaborators, driving excellence and innovation within the team. What You'll Need to Succeed - Bachelor's or equivalent experience; advanced degree such as a Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred. - 6–9 years of industry experience building and deploying

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