Staff Software Engineer

The Challenge

Adobe's Cloud offering relies on Search, Discovery, and Content Intelligence (SDC) technology. Users, whether experienced or new, require fast access to their digital assets, libraries, and creative content like brushes, colors, images, and videos. They should be able to easily find what they've made, shared items, and even search external platforms like Adobe Stock or Behance.net.

We power Search, Recommendation, and Assistive experiences in flagship Adobe products like Express, Stock, Photoshop, Illustrator, Adobe.com, and Acrobat.

We prioritize the development of innovative AI technologies that enhance search, recommendations, and assistive experiences. Our focus spans across all modalities (text, image, video), aiming to improve creative efficiency for creators, marketers, and designers. Our technology stack includes LLMs, vLLMs, Transformers, vector search, Retrieval Augmented Generations (RAG), and Neural agents.

Adobe Search, Discovery, and Content AI team are looking for a hands-on Staff Software Engineer (L5+) in the area of multi-modal and multi-lingual information retrieval, search indexing, search and recommendation algorithms, relevance & ranking, data analytics, machine learning, data analysis & metrics, query processing, and search UX.

Responsibilities :

• Craft an innovative multi-modal, multi-lingual, scalable, resilient intent detection and Creative Knowledge Graph Platform.

• Develop Intent Services and Creative Knowledge Graph signals for inspiring and intuitive Search, recommendations, and creative assistance workflows. Use an efficient GPU Platform and batch processing techniques to minimize costs.

• Develop and craft a scalable, fault-tolerant solution.

• Develop REST services for Search, Discovery, and Content Intelligence and work with Adobe Products Teams to integrate these services.

• Construct a real-time indexing platform for a vast range of media assets. Optimize the search engine, propose new ideas, develop features, and assess solutions for search relevance, user experience, and performance.

• Analyze the user feedback on workflows using data analytics and make data-driven decisions for improving the experience.

• Develop products using technologies such as Elastic Search, REST web services (Java and Python), SQS/Kafka, Hbase, Storm, Machine Learning, and more.

Technology Stack: Java, Springboot, Elastic Search, HBase, Apache Storm, OpenAI, Claude, Langchain, Pytorch, Tensorflow, Transformers, GPT, Sensei ML Inference and Content Processing Stack, Vector Search