Applied AI Scientist (Multimodal Generative AI)

Quick Facts

• Role: Applied AI Scientist (Multimodal Generative AI)

Description

This role bridges research advances and practical applications in generative AI and multimodal foundation models. You will evaluate and adapt emerging research, conduct applied research experiments, and partner with engineering teams to turn promising approaches into robust solutions aligned with future hardware and product needs.

Responsibilities

• Evaluate and adapt emerging research for multimodal foundation models and generative AI

• Conduct applied research experiments

• Collaborate with engineering teams to develop robust, production-oriented solutions

• Consider future hardware design and product requirements

• Coordinate across multiple internal teams to deliver product impact

Requirements

• M.S. in Computer Science, Computer Vision, Computer Learning, or related technical field, plus at least 6 years relevant experience

• Demonstrated deep learning experience in at least one multimodal domain (vision, language, video, etc.)

• Proficiency in Python

• Proficiency in a modern deep learning framework such as PyTorch or JAX

• Experience with rapid prototyping, reproduction, and validation of research ideas

• Ability to work effectively in a multi-functional, collaborative environment

Benefits

• Opportunity to shape upcoming research directions in multimodal foundation models for product experiences