Job Description

OPPO US Research Center is seeking self-motivated Research Interns (2024 Summer) to support the eXtended Reality (XR) Team (https://oppo-us-research.github.io/OPPO_US_Research_Center_XR_Team/) in projects focused on novel view synthesis, 3D reconstruction, neural fields, hand tracking, etc. The candidate will strengthen their skills by working on real-world problems and also getting insights into how an industry R&D center operates. The XR team focuses on 3D Computer Vision and Computer Graphics and their use cases for XR.

Duties And Responsibilities

• Research and evaluate state-of-the-art AI algorithms prototypes for projects
• Build state-of-the-art solutions by designing algorithms and carrying out experiments
• Publish at top-tier conferences and/or journals
  
  
  

Requirements

Minimum Qualifications:

• PhD candidate in Computer Science, Electrical Engineering, Computer Engineering or related fields such as Physics and Mathematics
• Solid background in deep learning algorithms and optimization techniques
• Familiarity with common deep learning frameworks such as Pytorch, Tensorflow, Caffe and MxNet
• Strong background in computer vision and machine learning basics
• Strong programming skills in Python, C/C++ and Java, etc
  
  
  

Preferred Qualifications:

• Demonstrated research expertise in 2D/3D Computer Vision and Computer Graphics
• Good publication record at top-tier ML conferences (CVPR, ICCV, ECCV, etc) and/journals
• Possess knowledge and practical experience in at least one of the following areas:
• 2D vision techniques including image/video segmentation, matting, composition, etc
• 3D vision capabilities focusing on depth estimation, depth fusion, surface reconstruction, neural reconstruction, pose estimation, etc
• Advanced rendering methods, including neural rendering, light field, NeRF, 3DGS, etc
• AI-generated content (AIGC) topics, notably generative models and 3D generation techniques, etc
  
  

Benefits

OPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

The US base salary range for this full-time position is $30-$60/hour. Our salary ranges are determined by role, level, and location.