Tavus Inc. seeks Sr. Applied Machine Learning Engineer (San Francisco, CA) to implement & productionize cutting edge visual rendering & large multimodal models (Neural Radiance Fields, 3D Gaussian Splatting, Variational Autoencoders, Transformers).
Requirements:
Must have bachelor's degree in computer science & 1 year experience involving deploying open-source production-ready AI models, in voice identity & feature extraction, VQA (vision question-answering), facial feature generation, & image segmentation sub-areas. The experience must also have included building at least 1 application with the Web RTC protocol & asynchronous programming. Must have completed at least 1 project implementing each of the following models using Pytorch: Variational Autoencoders, Generative Adversarial Networks (GANs). Must also have completed 1 college course which covers Language Models, Variational Autoencoders, Text & Vision Transformers, & Neural Radiance Fields or have used these during work experience.
Application Instructions:
To apply, send CV to talent+mle@tavus.io.
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