Lead ML Scientist

• Research and implement ranking ML models using Transformers, GPT, reinforcement learning, diffusion models, TensorFlow, and PyTorch
• Build a relevance platform to rank billions of images, documents, videos, and other assets in real-time.
• Fine-tune LLMs and Diffusion models to build state-of-the-art ranking models
• Conduct innovative research on novel LLM architectures and training methods, focusing on creative applications
• Leverage the user’s intent, context, deep content understanding, and behavioral data as ranking signals.
• Design whole-page relevance by aggregating diverse content and ranking based on a query to asset-type affinity.
• Process multimodal (text, image, video) intent and contextually assist the user by recommending ingredients and generating rich artifacts to enable a streamlined user journey.
• Align text and visual modalities by fine-tuning CLIP for the creative domain
• Unlock assistive experience in creative products through the adoption of foundation models
• Develop robust methods to evaluate LLM performance, ensuring ethical AI practices that reflect Adobe’s standards

• Master’s degree or PhD in computer science, statistics, engineering, or other relevant subject area highly preferred
• 8+ years of relevant experience required

The U.S. pay range for this position is $141,100 - $281,700 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience.

Our team focuses on developing innovative AI-powered search, recommendations, and assistive experiences using generative AI technologies across all modalities, including text, image, and videos, and creates an industry-leading technical platform to improve creative efficiency for creators, marketers and designers.