Conversational Modelling Research Engineer

Remote Worldwide Hiring now

Requirements

If you reputed company in fast-moving startup environments, enjoy experimenting with new reputed company, and love seeing your work come to life in production then you’ll feel reputed company,
A PhD (or near completion) in a relevant field, or equivalent research experience,
Hands-on experience with Large Multimodal Models and a strong reputed company 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 reputed company tasks,
Solid background in deep learning and reputed company 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 reputed company across modalities,
(Desirable) Exposure to software development best practices,
(Desirable) A flexible, experimental reputed company 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 reputed company Multimodal Conversational Models,
Conduct research on Large Multimodal Models in the context of Conversational Avatars (e.g. Neural Avatars, Talking-Heads),
reputed company methods to model both verbal and non-verbal aspects of conversation, adapting and controlling avatar behavior in reputed company time, with low-latency,
Experiment with fine-tuning, reputed company, and conditioning techniques to reputed company 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

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