Multimodal AI Systems: Principal Technical Leader​/Chief Scientist

Multimodal AI Systems:

Chief Scientist/ Principal Technical Leader

We are seeking a senior leader to define and deliver the architecture and research direction for large-scale multimodal AI systems. This role combines scientific leadership with hands‑on system ownership, spanning model innovation, training, inference, and production deployment.

You will lead the design of multimodal architectures across LLMs, VLMs, video models, and multimodal agents, while driving cutting‑edge research in multimodal understanding and generation. The role owns the full lifecycle from novel algorithms and publications to scalable, optimized systems (autotuning, quantization, inference efficiency).

• Deep expertise in multimodal learning with hands‑on experience training large‑scale vision‑language, video, or multimodal models.
• Strong understanding of transformers, diffusion models, and large multimodal model inference.
• Proven research impact (top‑tier conferences preferred) and/or significant open‑source contributions.
• Ability to translate frontier research into production‑grade AI systems.