Conversational Modelling Research Engineer
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Job Description
AI Researcher developing foundational multimodal conversational models at Tavus, pioneering human computing. Conducting research, developing methods, and collaborating with teams.
Responsibilities:
- Conduct research on Large Multimodal Models in the context of Conversational Avatars.
- Develop methods to model both verbal and non-verbal aspects of conversation.
- Experiment with fine-tuning, adaptation, and conditioning techniques.
- Partner with the Applied ML team to take research from prototype to production.
- Stay up to date with cutting-edge advancements.
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.
- 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.
Benefits:
- Flexible work arrangements
- Professional development
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