Multimodal Spatial Experiences Researcher

Dolby•Atlanta, GA

31d•$130,000 - $162,000

About The Position

Conduct cutting-edge research in spatial scene representation, rendering, and generation. Incorporate multiple modalities including vision, audio, speech/voice, and beyond to achieve more than is possible with any one modality alone. Define and drive research roadmaps in collaboration with a top-tier research team. Apply AI and deep learning techniques to develop novel solutions and enhance existing approaches. Design and validate algorithms using robust methodologies, quality metrics, and test content. Share insights through publications, technical papers, and internal presentations. Transfer research outcomes to product groups and contribute to patent applications. Stay ahead of the curve by monitoring the latest advances in multimodal spatial understanding and generation.

Requirements

Ph.D. in Computer Science, Electrical Engineering, Applied Math, Physics, or related field, or M.S. with at least 3 years of relevant experiences.
Strong, relevant, publication record in top-tier conferences or journals.
Deep expertise in any of view synthesis, light-field research, multimodal representation, NeRF or Gaussian Splatting, multimodal generation, scene editing, relighting, or sound fields.
Proficiency in programming languages such as Python, C/C++.
Strong background in deep learning-based methods, foundational models, GANs, and proficiency with frameworks such as Pytorch.
Collaborative team mindset with the ability to work across research and engineering.

Nice To Haves

Experience with real-time graphics APIs (OpenGL, CUDA, DirectX, Vulkan).
Familiarity with game engines (Unreal, Unity).

Responsibilities

Conduct cutting-edge research in spatial scene representation, rendering, and generation.
Incorporate multiple modalities including vision, audio, speech/voice, and beyond to achieve more than is possible with any one modality alone.
Define and drive research roadmaps in collaboration with a top-tier research team.
Apply AI and deep learning techniques to develop novel solutions and enhance existing approaches.
Design and validate algorithms using robust methodologies, quality metrics, and test content.
Share insights through publications, technical papers, and internal presentations.
Transfer research outcomes to product groups and contribute to patent applications.
Stay ahead of the curve by monitoring the latest advances in multimodal spatial understanding and generation.