Job Description

Inviting referrals for Lead Applied ML/Big Data Engineer, Search Team
The challenge
Machine Learning is critical part of Adobe’s Cloud offering. Adobe Clouds enable customers to create & manage Digital content, such as assets, composites, 3D, documents etc., and Digital experience and transformations. In Creative Cloud, Creative professionals and novice users alike need to manage lifecycle of their digital assets, libraries, the variety of creative content, and documents they work with every day, from brushes to colors, images, videos, 3D and beyond. In Experience Cloud, it is all about optimizing the Digital Experience and Digital Transformations for Enterprises where digital content rules with mobile playing pivotal role, whereas in Document Cloud it is all about paperless world where offerings provide way for authoring and seamless transfer of content across users & entities. Adobe Cloud also provides the stock image marketplace, Adobe Stock, and the community, Behance, which entails deep machine learning embedding to enable content quality, search, discover, organize, contributor moderation, and more to allow for faster content velocity.
We are building new machine learning platform, called Adobe Sensei, that powers machine learning and AI across Adobe Cloud product lines by enabling the world’s best creative tools, leading cloud services for managing digital assets and digital experiences and the leading marketplace such as Adobe Stock and Adobe Behance.  This platform will cater to thousands of applied researchers, millions of users, and billions of content pieces. Become part of this growing team at Adobe and a phenomenal impact in the area of computer vision, user understanding, language understanding, and digital experience optimization. The objective is to make machine learning offerings a world class, leading edge, differentiating product in Adobe Cloud ecosystem. We match the pace, innovation and excitement of a startup, backed by the resources and infrastructure of Adobe!
How can you participate? We’re looking for applied research scientist, from entry level to senior roles, in the area of content understanding, computer vision, deep learning, user understanding, language understanding, information retrieval, search ranking, campaign and channel optimization, advertising bid optimization, and more. This is an opportunity to make a huge impact in a fast-paced, startup-like environment in great company.  Join us! 
 
Responsibilities
Work on building state of the art machine learning models leveraging data mining, big data, deep learning, content understanding, language understanding, and more by developing cutting edge machine algorithms for Adobe Clouds. Apply data mining and machine learning to improve content understanding, computer vision, deep learning, language understanding and content ranking & recommendations. Build machine learning offerings to enable lifecycle of billions of images, documents and other assets in Adobe Cloud. Maintain and optimize machine learning platform, identify new ideas to evolve it, develop new features and benchmark possible solutions. Build machine learning platform using technologies such as REST web services, micro-services, machine learning frameworks, Caffe, Tensorflow, Spark, Elastic, AWS, Kafka, Deep Learning, and more.
 
What you need to succeed

• B.Tech/B.E in Computer Science
• Minimum 4-10 years of relevant experience in industry
• Experience in machine learning technologies, especially in content understanding
• Experience with some machine learning frameworks – Scikit, MLPack, TF, SparkMLib, Caffe, …
• Experience in building, validating and evaluating of machine learning model
• Experience in building feature selection for machine learning
• Experience in building distributed systems
• Experience with Spark, big data processing, Hadoop.
• Hands on experience with Java, Python, and/or C++.
• Knowledge of Matlab, R and other tools.
• Exposure to Docker, Containerization, AWS.
• Exposure to Web services, micro-services, and REST.