Sr. Applied Scientist

Adobe • San Jose, CA

16h • $142,700 - $270,950

About The Position

The Opportunity AI-powered Search, Recommendations 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 a new search, recommendations, and knowledge graph platform that powers suits of Adobe product lines. Our platform caters to millions of users and billions of entities. Become part of this growing team at Adobe and have an excellent impact by providing AI-powered search, recommendations, and gen AI-based assistance across the creative suites of products at Adobe. 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 looking for a top-notch Applied Scientist with deep expertise in generative AI technologies. This is an opportunity to make a huge impact in a fast-paced, startup-like environment in a great company. Join us!

Requirements

• Masters' degree or PhD in computer science, statistics, engineering, or other relevant subject area highly preferred
• 5+ years of relevant experience required

Responsibilities

• Research, develop and implement ML models using Transformers, LLMs, and classical ML algorithms for search and recommendation use cases
• Be proficient in Python, PyTorch, Hugging Face Ecosystem, distributed and scalable fine-tuning of state-of-the-art LLMs.
• Be proficient in optimized inference engines/frameworks like vLLM, TensorRT
• Fine-tune LLMs and Diffusion models to build and augment a creative knowledge graph and use it to recommend billions of images, videos, documents, and other assets in real time.
• Align text, visual and other modalities by fine-tuning Transformer-based models for the creative domain
• Conduct innovative research on novel LLM architectures and training methods, focusing on creative applications
• Process Multimodal (Text, Image, Video) intent and contextually assist the user by recommending ingredients and generating rich artifacts to enable a seamless creative path.
• Develop robust methods to evaluate LLM performance, ensuring ethical AI practices that reflect Adobe’s standards

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level