Embedding Vc
Member of Technical Staff - Diffusion Model
5mo ago
USALeaddiffusion modelsmachine learningneural networkstraining optimizationmultimodal encoders
Work on building and iterating diffusion model architectures for multimedia and improving training and control techniques.
Other
- Introducing Moonlake, AI for creating world simulations.
- Build and iterate on 2D/3D/image/video/audio diffusion architectures
- Work on conditioning: text/image/pose/layout/control signals, multi-modal encoders, guidance strategies.
- Large-scale diffusion training
- Improve sample quality vs. compute trade-offs: better objectives, distillation, consistency/one-step models.
- Techniques like ControlNet, LoRA, IP-Adapters, adapters for style/identity/geometry/control.
- Build editing, inpainting, and personalization pipelines (DreamBooth, custom subject/style tuning).
- We are committed to being an on-site, in-person team currently based in San Mateo