Computer Scientist (Java Backend)
Noida, India
Adobe
Adobe is changing the world through digital experiences. We help our customers create, deliver and optimize content and applications.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 cornerstone of Adobe’s ecosystem, enabling creative professionals and everyday users to access, discover, and demonstrate a wide array of digital assets and creative content, including images, videos, documents, vector graphics and more. With increasing demand for intuitive search, contextual discovery, and seamless content interactions across Adobe products like Express, Lightroom, Adobe Stock, SDC is evolving into a generative AI powerhouse.
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.
The Opportunity
How can you participate? We’re looking for a top-notch search engineering leadership in the area of information retrieval, search indexing, 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 a great company. Join us!
Responsibilities
Work on Big data, data ingestion, search indexing, Hadoop, distributed systems, deep learning, recommendations, and performance by developing a Search platform at Adobe that would power Adobe product lines such as Express, Creative Cloud, Acrobat, Marketing Cloud, Stock.
Apply 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 5-10 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 Elastic Search/Solr.
Experience with search engine technology, and inverted indexes
Hands-on experience in building indexing pipelines
Adobe is proud to be an Equal Employment Opportunity 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Big Data Computer Science Data analysis Data Mining Deep Learning Distributed Systems Elasticsearch Engineering Generative AI Hadoop Java Kafka Machine Learning NoSQL Pipelines Python RDBMS Spark UX
Perks/benefits: Startup environment
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