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Technical Staff Member - Diffusion Model Development

MoonlakeSan Mateo
On-site Full-time

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Experience Level

Entry Level

Qualifications

Candidates should possess a strong background in AI, machine learning, or related fields, with experience in diffusion models and architecture design.

About the job

Join Moonlake, where we harness the power of AI to craft immersive world simulations.

Modeling & Architecture

  • Develop and enhance diffusion architectures for 2D/3D images, videos, and audio.

  • Focus on conditioning techniques: text/image/pose/layout/control signals, multi-modal encoders, and guidance strategies.

Training & Optimization

  • Engage in large-scale diffusion training processes.

  • Enhance sample quality while managing compute trade-offs through improved objectives, distillation, and consistency models.

Control & Alignment

  • Utilize techniques such as ControlNet, LoRA, and IP-Adapters for style, identity, geometry, and control adaptations.

  • Design editing, inpainting, and personalization workflows, including DreamBooth and custom subject/style tuning.

We are dedicated to maintaining an on-site, collaborative environment in San Mateo.

About Moonlake

Moonlake is at the forefront of AI innovation, creating breathtakingly realistic world simulations that transform how we interact with digital environments.

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