We are building new search platform that powers suits of Adobe product lines such as Adobe’s Creative Cloud product, Marketing Cloud, and Document Cloud by enabling the world’s best creative tools, leading cloud services for managing creative assets, and the leading marketplace such as Adobe Stock. Search platform will have to cater to millions of users and billions of entities. 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 creative suites of products at Adobe. Search is at the very core of the service offered to our customers, with 13 languages covered, and millions of users touched every day. The objective is to make search a world class, leading edge, differentiating product in terms of search effectiveness and experience. We also offer “Search as you type”, “Query Suggestion” and “Query Processing” services to improve the efficacy of search experience to our users. 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 a top-notch search engineering leadership in the area of information retrieval, search indexing, Natural Language Processing, Elasticsearch, Lucene, algorithms, 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 the great company. Join us!
Work on Search algorithm, web services, search indexing, data mining, big data, Hadoop, deep learning, recommendations, and performance by developing a Search platform at Adobe that would power Adobe Clouds 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 Search products using technologies such as Elastic Search, REST web services, SQL/Kafka, Machine Learning, and more.
What you need to succeed
BS or MS in Computer Science
Minimum 8-10 years of relevant experience in the industry
Experience in engineering SaaS-based software development
Experience with search engine technology, image search and inverted indexes
Experience with Natural Language Processing, NER, Semantic Search, Word2Vec
Experience with NER, query classification, language processing, and language translation
Experience with Elastic Search/SolR and AWS.
Hands on experience with Java, Python, and PHP.
Hands on experience in Big data processing, Hadoop and Spark.
Hands on experience in building indexing pipeline.
Experience in Web services and REST.
Experience in RDBMS & NOSQL database.
To apply for this job please visit adobe.wd5.myworkdayjobs.com.