Diffusion Model Jobs (NOW HIRING)

To do this we're developing cutting-edge diffusion models and designing novel, personalized interfaces. We're a small team of creative builders in NYC with a rare combination of taste and deep AI ...

Diffusion Models*, *Bayesian Inference* and *Probabilistic Programming Languages*. The successful candidate will benefit from a supportive lab environment and the highly collaborative UCLA community.

You will work on cutting-edge diffusion and flow-based models for image, video, and multimodal generation, pushing model quality, efficiency, and scalability. This role combines deep research ...

Contribute hands-on to all stages of model development including data curation, experimentation, evaluation, and deployment. * Continuously explore and integrate cutting-edge research in diffusion ...

You will work on cutting-edge diffusion and flow-based models for image, video, and multimodal generation, pushing model quality, efficiency, and scalability. This role combines deep research ...

Contribute hands-on to all stages of model development including data curation, experimentation, evaluation, and deployment. * Continuously explore and integrate cutting-edge research in diffusion ...

Accelerate diffusion model inference - consistency models, step distillation, caching strategies, and custom kernel optimizations * Apply quantization techniques (INT8, INT4, GPTQ, AWQ, and beyond ...

... diffusion model architectures and their performance characteristics Proficiency with profiling and optimizing complex software Experience with SoC low level software development, distributed ...

Accelerate diffusion model inference - consistency models, step distillation, caching strategies, and custom kernel optimizations * Apply quantization techniques (INT8, INT4, GPTQ, AWQ, and beyond ...

Diffusion & Unified Model Optimization - Optimize Diffusion Transformer training pipelines, including noise schedules, timestep strategies, and memory-efficient attention mechanisms. - Support ...

... diffusion architectures for driving, including spatiotemporal attention, latent space design, and action-conditioned generation • Develop techniques for multi-view geometric consistency in ...

... model scaling up and distillation, mode recovery, fine-tuning with closed-loop RL, etc. * Research experiences we are looking for are generative models and diffusion models for autonomous driving and ...

... diffusion architectures for driving, including spatiotemporal attention, latent space design, and action-conditioned generation • Develop techniques for multi-view geometric consistency in ...

Assembled a 12 person applied AI team spanning Ex-Moonshot (post-training & agents, diffusion model training), second-time technical founders, engineers that made 100+ games for Voodoo, Supersonic ...

Design and optimize large-scale training architectures for diffusion-based and unified generative models (e.g., DiT, Rectified Flow, hybrid AR + diffusion systems). * Lead GPU-centric performance ...

Build and apply ML models informed by 3D structural data, including geometric deep learning, equivariant neural networks, and diffusion-based generative models for molecular design and property ...

Hands-on knowledge of large model architectures (e.g., Transformers, Diffusion Models). Familiarity with core deep learning frameworks (e.g., PyTorch, JAX), and NVIDIA AI acceleration libraries (e.g ...

Hands-on knowledge of large model architectures (e.g., Transformers, Diffusion Models). Familiarity with core deep learning frameworks (e.g., PyTorch, JAX), and NVIDIA AI acceleration libraries (e.g ...

Hands-on knowledge of large model architectures (e.g., Transformers, Diffusion Models). Familiarity with core deep learning frameworks (e.g., PyTorch, JAX), and NVIDIA AI acceleration libraries (e.g ...

Diffusion models produce extraordinary results, yet their iterative sampling and high-dimensional score estimation create computational bottlenecks that scale poorly. We believe quantum computing ...