Artificial Intelligence Research Scientist (Gen AI - Multimodal Learning)

2 days ago

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Eluvio

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Transforming the management, distribution, and economics of premium video for content owners.

11 - 50

Description

• Survey: Exploring generative AI technologies targeting multimedia content improvement and/or generation. • Research (Proof of Concept): Design and development of advanced generative techniques towards content improvement, like., A/V quality, resolution, etc. as well as video description, understanding, and summarization. • Development (Engineering) • Integrating the developed model into the Eluvio ML stack. • Work on unique multimodal data sets including, video, audio, speech, text, image, 3D, etc. • Encourage publishing research in top conferences.

Requirements

• Has Masters in a relevant field, Ph.D. preferred. • Has research experience with modern generative technologies like Diffusion, GANs, etc. for video restoration and/or text-to-image (text-to-video) generation. • Has working knowledge of multimodal learning (CLIP, BLIP, etc.) and a good understanding of advanced learning settings like, self-supervised learning, semi-supervised, and transductive learning. • Has prior publications in top-tier conferences like., NeuRIPS, ICML, ICLR, CVPR, KDD, RecSys, etc and/or journals. • Strong experience with Python-based eco systems - Pytorch, Tensorflow, JAX, etc. • Working knowledge of java-script, Rust, etc. • Full-stack application experience operating and using video tools such as ffmpeg.

Benefits

• Medical • Dental • 401K