Applied AI Scientist (Multimodal & Generative AI)

Quick Facts

• Role: Applied AI Scientist focusing on Generative AI and multimodal foundation models

• Focus: bridging research advances with practical deployments across multimodal sensing experiences

Description

You will bridge the gap between research and real-world applications in generative AI and multimodal foundation models. The role involves evaluating and adapting emerging research, running applied experiments, and working with engineering teams to turn promising approaches into robust solutions for future hardware and product needs.

Responsibilities

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

• Conduct applied research experiments

• Collaborate with engineering teams to productionize robust solutions

• Consider future hardware design and product requirements

• Work with multiple teams across the organization to deliver the best products

Requirements

• Demonstrated deep learning experience in at least one multimodal area (e.g., vision, language, video)

• Proficiency in Python

• Experience with a modern deep learning framework such as PyTorch or JAX

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

• Master’s or equivalent practical experience in Computer Science, Computer Vision, Machine Learning, or a related technical field

Benefits

• Opportunity to help shape multimodal foundation model research directions and applied AI solutions

• Collaborate with highly technical scientists and engineers to develop pioneering multimodal AI approaches