Artificial Intelligence Research Scientist

Eluvio is a highly focused and ambitious team of systems, networking, application, and video software engineers, AI scientists, ML engineers, and security experts working together to implement the vision of the Content Fabric - a decentralized platform for video and commerce with the ambition of serving the world's Internet video. The Eluvio Content Fabric provides an innovative distributed and decentralized video processing framework with just-in-time and personalized experiences, made possible through our state-of-the-art real-time content routing and just-in-time code execution. We are headquartered in Berkeley, CA.

We are currently looking for a full-time research scientist for the AI Team. As an AI Research Scientist, you will have the opportunity to work with the AI Team on cutting-edge generative AI technologies for improving the content/video descriptors as well as our software offerings for generative AI-based content.

The scope of this work entails (but is not limited to),

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.

Design and development of advanced generative techniques for user-guided content generation. For e.x. Text to Image, Text to Video, etc.

Development (Engineering)

Integrating the developed model into the Eluvio ML stack.

You will also be able to work on unique multimodal data sets including, video, audio, speech, text, image, 3D, etc., and a very specific product line unique to Eluvio's AI stack offering. This work will directly impact the product. We highly encourage publishing our 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.

Nice to Have

Working knowledge of java-script, Rust, etc.

Full-stack application experience operating and using video tools such as ffmpeg.

Benefits

Medical, dental, 401K