tavus - Conversational Modelling Research Engineer

• A PhD (or near completion) in a relevant field, or equivalent research experience. • Hands-on experience with Large Multimodal Models and a strong foundation in generative (language) models. This could be in the context of tasks such as VQA, Audio/Video understanding tasks, captioning behavioral analysis, Translation tasks, Speech to Speech systems. • Experience in fine-tuning/adapting VLMs for control, conditioning, or downstream tasks. • Solid background in deep learning and foundation modes. • Strong PyTorch skills and comfort building deep learning pipelines. • Knowledge of large-scale model training and optimization. • Experience in duplex-conversational model. • Broader understanding of generative AI across modalities. • Exposure to software development best practices. • A flexible, experimental mindset i.e. comfortable working across research and engineering. • (Bonus) Publications at EMNLP, COLING, NeurIPS, ICLR, CVPR, ICCV. • Preferred: San Francisco (hybrid) or London (office opening soon). • Remote within the U.S. or Europe available for exceptional candidates.