Requirements

• 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,
• 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,
• (Desirable) Knowledge of large-scale model training and optimization,
• (Desirable) Experience in duplex-conversational model,
• (Desirable) Broader understanding of generative AI across modalities,
• (Desirable) Exposure to software development best practices,
• (Desirable) A flexible, experimental mindset i.e. comfortable working across research and engineering,
• (Desirable) (Bonus) Publications at EMNLP, COLING, NeurIPS, ICLR, CVPR, ICCV

What the job involves

• We’re looking for an AI Researcher to join our core AI team and push the boundaries of Foundation Multimodal Conversational Models,
• 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