Machine Learning Engineer 5

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.

With growing demand for user prompt understanding, providing contextual discovery and perform actions, either explicitly or through an assistant, in Express and other Adobe products, SDC requires GenAI stack built using underlying powerful technologies of Intent understanding, ML/AI powered Discovery and dynamic action orchestration.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 GenAI. 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 and GenAI a world class, leading edge, differentiating product in terms of search effectiveness and experience. 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, 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 great company. Join us!

Responsibilities

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 6-8 years of relevant experience in industry
Experience in engineering SaaS based software development
Experience with search engine technology, and inverted indexes
Experience with Elastic Search/SolR.
Experience with Azure, ResourceManager, and HDInsights.
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.

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