Member of Technical Staff - Diffusion Model
Quick Summary
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.
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
Location & Eligibility
Listing Details
- Posted
- January 15, 2026
- First seen
- May 6, 2026
- Last seen
- May 8, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 12%
- Scored at
- May 6, 2026
Signal breakdown
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