About this role

Investigate and apply novel algorithms related to the generation and editing of video, sound, and 3D visual geometry
Analyze and alleviate ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution
Publish findings in a top-tier conference
Implement innovative ideas using research, coding, and problem-solving skills
Receive support from internal scientists and engineers in efforts

Master’s degree in Computer Science, Electrical Engineering, Applied Mathematics, or related fields
Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing
Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch) and visualization (e.g., TensorBoard)
Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, and ICML
Excellent communication and presentation skills
Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines (preferred)

Reasonable accommodation for qualified individuals with disabilities and disabled veterans
Support from internal scientists and engineers

Research Intern – Generative and Protective AI for Content Creation

Key skills