TL;DR

Multimodal Spatial Experiences Researcher (AI): Conducting cutting-edge research in spatial scene representation, rendering, and generation integrating video, audio, language, and beyond. Focus on applying AI and deep learning techniques to develop novel solutions and enhance existing approaches.

Location: Atlanta, Georgia, United States

Salary: $130,000-$162,000 (can vary if outside this location)

Company

Dolby continues to revolutionize how people create, deliver, and enjoy entertainment worldwide.

What you will do

Conduct cutting-edge research in spatial scene representation, rendering, and generation.
Incorporate multiple modalities including vision, audio, speech/voice, and beyond.
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.
Transfer research outcomes to product groups and contribute to patent applications.

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.
Excellent written and verbal communication skills.

Nice to have

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

Culture & Benefits

Collegial culture, challenging projects, and excellent compensation and benefits.
Flexible work approach to support where, when, and how you do your best work.
Equal opportunity employer committed to making employment decisions without regard to various protected classifications.