Senior/Staff Software Engineer

Adobe • San Jose, CA

17h

About The Position

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 Opportunity Join Adobe's Search, Discovery and Content Intelligence (SDC) team, where your work will directly impact millions of creative professionals and users worldwide. Our technology is fundamental to Adobe's Cloud ecosystem, enabling seamless access to digital assets, creative content, and collaborative tools across flagship products including Adobe Express, Stock, Photoshop, Illustrator, Adobe.com, and Acrobat. As creative workflows evolve, users need intuitive, intelligent ways to discover, search, and interact with their vast collections of brushes, colors, images, videos, documents, and more. We're building the next generation of AI-powered search, recommendation, and assistive experiences that understand creative intent across all modalities. What You'll Build You'll architect and develop AI-first agentic discovery that leverage multimodal language and vision models, transformers, semantic conversational sear ch, and Retrieval Augmented Generation (RAG) to create industry-leading creative experiences. Our work spans multi-modal understanding (text, image, document, video), neural agents, and sophisticated recommendation systems that enhance creative efficiency for designers, marketers, and content creators.

Requirements

• Degree in Computer Science, Machine Learning, or a related field or equivalent experience
• 8+ years of software engineering experience with proven track record in large-scale distributed systems
• Deep expertise in search technologies: Elasticsearch, Lucene, information retrieval algorithms
• Strong background in machine learning, particularly in NLP, computer vision, or recommendation systems
• Expertise in vector databases, semantic search
• Proficiency in Java, Python, and modern software development frameworks
• Experience with cloud platforms, microservices architecture, and high-availability systems
• Demonstrated ability to lead technical initiatives and mentor engineering teams

Nice To Haves

• Experience in developing conversational search workflows in creative domain
• 5 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization

Responsibilities

• Design and implement scalable, fault-tolerant multi-modal and multi-lingual agentic search and recommendation systems
• Build intelligent conversational workflows that understand creative intent and context
• Architect real-time indexing infrastructure capable of handling billions of images, documents, videos, and creative assets
• Develop high-performance REST services and APIs for seamless integration across Adobe's product ecosystem
• Leverage advanced AI technologies including LLMs, transformers, and neural networks to power search and recommendation engines
• Implement sophisticated ranking algorithms and relevance models for creative content discovery
• Optimize search quality across multiple languages and content modalities with AB Experimentation and User Behavior analysis

Benefits

• Opportunity to shape the future of creative technology used by millions worldwide
• Collaborative environment with world-class engineers and researchers
• Access to innovative AI/ML resources and Adobe's extensive creative platform
• Competitive compensation, equity, and comprehensive benefits
• Professional development opportunities and conference participation

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees