Computer Scientist (Java Backend)
Adobe Software
JOB LEVEL
P40EMPLOYEE ROLE
Individual ContributorThe 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
Internal Opportunities
Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe!
Put your best foot forward:
1. Update your Resume/CV and Workday profile – don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work.
2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in.
3. Check out these tips to help you prep for interviews.
4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll.
Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.
At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
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