Computer Vision / Generative AI Researcher

Responsibilities

• Work with founders at Pebblely to build and deploy cutting-edge AI research with generative image models
• Candidates will work directly with the technical co-founder, who has published with researchers from Stanford, PyTorch, and OpenAI
• Specifically, you will explore the following research directions relating to image generation:
  • Algorithmically evaluating realism and aesthetic qualities of generated images
  • “Over”-painting (i.e. adding appropriate shadows, highlights, or other effects on existing product images, to better integrate it into the inpainted background)
  • Object replacement (replacing an object in an existing image with another object)
  • Reduction of artifacts from image inpainting (i.e. reduce unwanted extensions to a product, such as wheels or handles)

Requirements

• Proficiency in Python and PyTorch
• Ability to understand, write and modify detailed PyTorch code, beyond running high-level scripts and models
• Prior projects illustrating the skills above, which are available for review

Good to have

• Understanding of diffusion and attention models
• Experience with using and modifying the diffusers library
• Experience with writing and deploying Dockerfiles