Applied AI Scientist (Multimodal Generative AI & Foundation Models)

Quick Facts

• Role: Applied AI Scientist for Multimodal Generative AI & Foundation Models

Description

Bridge research advances and practical applications in generative AI and multimodal foundation models. You will evaluate and adapt emerging research, conduct applied research experiments, and collaborate with engineering teams to turn promising approaches into robust solutions that consider future hardware design and product needs. You will also have opportunities to collaborate with multiple internal teams to deliver high-impact products.

Responsibilities

• Evaluate and adapt emerging research in generative AI and multimodal foundation models
• Conduct applied research experiments
• Work with engineering teams to translate approaches into robust production-ready solutions
• Factor in future hardware design and product requirements during development
• Collaborate across teams to deliver best-in-class products

Requirements

• Deep learning experience with demonstrated work in at least one multimodal area (e.g., vision, language, video)
• Proficiency in Python
• Proficiency in PyTorch or JAX
• Experience with rapid prototyping, reproduction, and validation of research ideas
• Master’s degree or equivalent practical experience in a technical field such as Computer Science, Computer Vision, or Machine Learning

Benefits

• Applied research role focused on translating multimodal foundation model research into real product experiences