11 months ago
Responsibilities
- Train foundation diffusion models for image and video generation.
- Develop controllability modules such as IPAdapters or ControlNets.
- Conduct large-scale experiments on high-performance computing clusters.
- Optimize data pipelines for massive image datasets.
- Develop novel research techniques and implement them into production.
Requirements
- Proven track record in working with image or video models at scale.
- Strong background in deep learning frameworks and distributed training paradigms.
- Ability to iterate rapidly and propose creative research directions.
- Publications or open-source contributions are a plus.
Benefits
- Backed by world-class Silicon Valley investors.
- Opportunity to work on innovative AI tools for creatives.
Categories
AI & MLData Science