Are you ready to revolutionize the world of creative tools and work at the cutting edge of AI-driven artistry? Join our team as the lead for our Neural Rendering system. where you'll collaborate with the best engineers and artists in the industry to build next generation tooling that empower artists worldwide. This is a unique opportunity to push the boundaries of image generation, content production and movie production, leveraging the latest advancements in diffusion-based pipelines and machine learning. If you're passionate about combining technology with creativity and eager to make a significant impact, we want you to be part of our groundbreaking journey!
We are seeking a highly skilled and innovative engineer to lead and architect a novel neural rendering pipeline, and who is an expert at inventing creative diffusion-based image-generation pipelines and realtime lighting techniques. The ideal candidate will have a deep understanding of and extensive experience with PyTorch, Unity and realtime rendering. Other key qualifications include:
Expertise in Neural Rendering with PyTorch: Proven ability to develop, train and deploy neural networks for neural rendering tasks.
Expertise in Diffusion-Based Image-Generation Pipelines: Proven ability to develop and optimize diffusion-based pipelines for generating consistent characters and animations.
Proficiency in Python: Advanced proficiency in Python programming, with a strong portfolio demonstrating the development of image-generation models and tools.
Proficiency with technology enabling local inference of neural networks, like ONNX runtime, Modular.
Experience with Key Tools: Extensive hands-on experience with ComfyUI, Automatic1111, Hugging Face showcasing a thorough understanding of their capabilities and applications.
Community Engagement: Active participation in relevant ML and AI communities, staying abreast of the latest advancements and contributing to discussions and developments.
Creativity and Innovation: A knack for creative problem-solving and a passion for pushing the boundaries of what's possible in image generation.
