Address Our Company
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The challenge
Search, Discovery and Content AI (SDC) is a critical part of Adobe’s Cloud offering. Creative professionals and novice users alike need quick access to their digital assets, libraries, the variety of creative content, and documents they work with every day, from brushes to colors, images, videos and beyond. They need to find and discover what they’ve created, the things that have been shared with them, and even search marketplace such as Adobe Stock.
Content Processing Framework (CPF) provides Unified platform for efficient, reliable and scalable content processing (ML & non-ML) across all Adobe Content. CPF is the backbone of all Intelligent Content Processing enabled within Adobe products and services. This platform caters to hundreds of applied researchers, millions of end customers, and billions of content pieces to power our customers’ entire digital journey. Our objective is to make our Machine Learning & content processing offerings world-class, leading-edge, and differentiate the Adobe Cloud ecosystem. We match the pace, innovation, and excitement of a startup, backed by the resources and infrastructure of Adobe!
With growing demand of video in Express and Stock, SDC requires e2e pipelines and capabilities of video processing, rendering, ML understanding and deep search of express templates, Express projects, & Stock videos to power video rendering, import & export, discovery of those in Express. This is super critical for the business needs, advancing the core capabilities and success of Express users. SDC is the key platform enabling these capabilities and the need is to focus on video related vertical capabilities. Isn’t it exciting? Become part of this growing team at Adobe and have a phenomenal impact by providing search, browse, Machine Learning and recommendation across the Video assets at Adobe. SDC is at the very core of the service offered to our customers, with multiple languages covered, and millions of users touched every day. The objective is to make search & discovery a world class, leading edge, differentiating product in terms of search effectiveness and experience.
The Opportunity
How can you participate? We’re looking for a back end engineer with ML expertise in CPF to solve challenging content processing and ML inference problems. You will help build CPF an advanced platform and in turn power content understanding, computer vision, deep learning, user understanding, language understanding, information retrieval, and more. We’re looking for a search engineering leadership in the area of information retrieval, search indexing, Elasticsearch, relevance & ranking, data mining, Machine Learning, data analysis & metrics, query processing, multi-lingual search, and search UX. This is an opportunity to make a huge impact in a fast-paced, startup-like environment in great company. Join us!
Responsibilities
Solve challenging problems to deliver advanced ML & non-ML content processing capabilities in the area of content understanding, computer vision, deep learning, user understanding, language understating, information retrieval, and more, and in turn powering Artificial Intelligence in Adobe Clouds.
This role will require knowledge and exposure to Machine Learning frameworks, Machine Learning algorithms, web services, distributed systems, data mining, big data, Spark, deep learning, Caffe, Tensorflow, and more.
Work on Big data, data ingestion, search indexing, data mining, big data, Hadoop, deep learning, recommendations, and performance by developing a Search platform at Adobe that would power Adobe product lines such as Creative Cloud, Document Cloud and Marketing Cloud.
Apply data mining and Machine Learning to improve the ranking and recommendations as part of search work-flow. Build platform to index billions of images, documents and other assets in real-time.
Maintain and optimize search engine, identify new ideas to evolve it, develop new features and benchmark possible solutions, in terms of search relevance, recommendations but also user experience, performance and feasibility. Build these products using technologies such as Elastic Search, REST web services, SQS/Kafka, Machine Learning, and more.
What you need to succeed
B. Tech or M. Tech in Computer Science
Minimum 4-8 years of relevant experience in industry
Experience in engineering SaaS based software development
Hands on experience with Java and Python.
Hands on experience in Big data processing, Hadoop and Spark.
Experience in Web services and REST.
Experience in RDBMS & NOSQL database.
Experience in AWS resources.
Experience with search engine technology, and inverted indexes is a plus.
Experience with Elastic Search/SolR is a plus.
Hands on experience in building indexing pipeline is a plus.
Adobe is proud to be an Equal Employment Opportunity and affirmative action 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. Learn more.
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.
Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.
