Responsibilities
- Architect, fine-tune, and enhance foundational AI models such as large language models, video diffusion systems, vision-language models, and vision-language-action models for practical deployment.
- Support collaborative development of large-scale training frameworks, high-performance inference systems, and scalable data processing workflows.
- Partner with research, engineering, and product teams to transition experimental AI models from concept to production.
- Engage in open-source and proprietary projects, publish technical research or patents, and guide early-career engineers.
- Develop and refine experimental prototypes across advanced AI fields, including agent-based systems, reinforcement learning, logical reasoning, and video synthesis.
- Create and deploy model compression techniques, including knowledge distillation, to reduce model footprint and accelerate diffusion process efficiency.
- Analyze and evaluate training and inference performance to meet rigorous production standards.
