Shape roadmap to unlock new model capabilities for customers.
Propose novel multi-modal architectures (text and voice).
Develop streaming, conversational systems for low-latency voice-video synthesis.
Design solutions that reinforce expressive, natural interaction.
Implement designs from pretraining through post-training.
Integrate architectures like neural codecs and diffusion to boost realism.

🎯 Requirements

Strong understanding of generative modelling for multimodal data.
Hands-on experience with LLMs or transformer architectures.
Proficiency in PyTorch, including distributed training and optimization.
Solid grasp of time-series modeling and tokenization for audio/speech/video.
Proven ability to prototype quickly, test hypotheses, and iterate.
Experience shipping a generative model into live product at meaningful scale.

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