Meta AR/VR Job | AI Research Scientist, 3D Generative AI
Job（岗位）: AI Research Scientist, 3D Generative AI
Type（岗位类型）: Computer Vision +1 more
Citys（岗位城市）: Bellevue, WA +1 locations
Date（发布日期）: 2025-1-14
Summary（岗位介绍）
Meta Reality Labs brings together a world-class R&D team of researchers, developers, and engineers with the shared goal of developing AR and VR across the spectrum. The Core AI group in RL is seeking research scientists to solve the next generation of research challenges on the path to building the 3D Metaverse. The aim of this role is to develop and advance state of the art research in 3D Generative AI technologies such as generating objects, materials, animation and worlds.
Qualifications（岗位要求）
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
PhD in the field of computer vision, robotics, ML or equivalent.
Background in generative AI, 3D computer vision, video and image generation.
Experience with a mastery of modern features in C++ or Python. Experience with ML frameworks such as PyTorch.
Experience designing machine learning algorithms, including experience creating software for data loading, training, and inference of novel ML architectures.
Interpersonal experience: cross-group and cross-functional collaboration.
Description（岗位职责）
Research and develop novel computer vision models in Generative AI, with a focus on 3D objects, textures and scene generation.
Publish research results in top-tier journals and at leading international conferences.
Collaborate with team members throughout the lifetime of a project, from early research through prototyping.
Working with product partners to deploy research into Meta's products.
Additional Requirements（额外要求）
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, NeurIPS, ICLR, SIGGRAPH.
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
Mathematical background and understanding of numerical optimization, linear algebra, probabilistic estimation and 3D geometry.
3+ years of industry or postdoctoral experience as research scientist.
