Conversational Modelling Research Engineer

We’re looking for an AI Researcher to join our core AI team and push the boundaries of Foundation Multimodal Conversational Models. If you thrive in fast-moving startup environments, enjoy experimenting with new ideas, and love seeing your work come to life in production then you’ll feel right at home.

Responsibilities

Conduct research on Large Multimodal Models in the context of Conversational Avatars (e.g. Neural Avatars, Talking-Heads); Develop methods to model both verbal and non-verbal aspects of conversation, adapting and controlling avatar behavior in real time, with low-latency; Experiment with fine-tuning, adaptation, and conditioning techniques to make AudioVisual Multimodal Models, more expressive, controllable, and task-specific; Partner with the Applied ML team to take research from prototype to production; Stay up to date with cutting-edge advancements — and help define what comes next.

Requirements

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.

Nice to have

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; Publications at EMNLP, COLING, NeurIPS, ICLR, CVPR, ICCV.