AI-powered Recommendations, Search, and Generative AI-based guidance is a core part of Adobe's Cloud offering. Adobe Cloud enables customers to create and generate digital content, and Digital experiences. The Search, Discovery, and Content AI Team drives customer success for Adobe Express, Creative Cloud, and Document Cloud. Creative professionals and novice users need the quick discovery of digital assets from brushes to colors, images, videos, and beyond. They also need AI-powered assistance to discover the ingredients needed to complete their creative journey at scale.
We are building next-generation Agentic Recommendation features across Adobe's product lines. This includes novel context-based recommendations for creation tasks, full-stack features like developing creative artifacts from user input (e.g., user images, documents or QR codes), and next-generation content intelligence powering these features using personalization, style understanding, and innovative retrieval of assets at scale.
How can you participate?
We focus on developing innovative AI-powered search, recommendations, and assistive experiences using generative AI technologies across all modalities, including text, image, and videos, and create industry-leading experiences to improve creative efficiency for creators, marketers, and designers. We're in search of an exceptional ML engineer with extensive experience in suggesting, exploring, and creating inventive AI technologies. This is an opportunity to make a huge impact in a fast-paced environment in a great company. Join us!
Expectations :
Research, develop and implement ML models and Search infrastructure for recommendation and retrieval use cases
Background in recommendations and search. Knowledge of bandits, NLP, and/or content intelligence models.
Proficiency in Python. Additional experience in Java preferred.
Experience fine-tuning LLMs for specific learning tasks
Experience deploying full-stack features to users in the areas of recommendations and/or search
Develop robust methods to evaluate features using LLMs, ensuring ethical AI practices that reflect Adobe's standards
Masters' degree or PhD in computer science, statistics, engineering, or other relevant subject area highly preferred
3+ years of relevant experience required
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
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AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.