Applied AI Scientist (Multimodal Generative AI)

Quick Facts

• Role: Applied AI Scientist (Multimodal Generative AI)

Description

This position bridges research advances and practical applications in generative AI and multimodal foundation models. You will evaluate and adapt emerging research, run applied research experiments, and work with engineering teams to turn promising approaches into robust solutions while considering future hardware and product needs. You will also collaborate with teams across the organization to deliver the best products.

Responsibilities

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

• Conduct applied research experiments

• Collaborate with engineering teams to translate approaches into production-ready solutions

• Consider future hardware design and product requirements

• Partner with cross-functional teams across the organization

Requirements

• Experience in deep learning with demonstrated work in at least one multimodal systems area (vision, language, video, etc.)

• Proficiency in Python

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

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

• MS in Computer Science, Computer Vision, Machine Learning, or related technical field

• Minimum 6 years relevant experience

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

Benefits

• Opportunity to contribute to multimodal foundation model research spanning data collection, curation, modeling, evaluation, and deployment

• Work alongside highly accomplished scientists and engineers delivering next-generation AI-enabled product experiences