Posted 4 months ago
Member of Technical Staff - Diffusion Model
AI Summary
Designs and optimizes diffusion-based models and tooling for multi-modal generation, including conditioning, training at scale, and personalization pipelines.
About this role
Introducing Moonlake, AI for creating world simulations.
Modeling & architecture
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.
Training & optimization
Large-scale diffusion training
Improve sample quality vs. compute trade-offs: better objectives, distillation, consistency/one-step models.
Control & alignment
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
Skills
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