Research Intern 2024 - AI Team
OPPO Research CenterAbout the role
OPPO US Research Center is seeking self-motivated Research Interns (2024 Summer) to support the Artificial Intelligence (AI) Team in projects focused on Image/Video Enhancement and Generation, Video Understanding, AIGC, LLM, Diffusion Model, Semantic Segmentation, etc. The candidate will strengthen their existing computer vision and deep learning skills by working hands on solving a real-world problem and also getting insights into how an industry R&D center operates.
Duties and Responsibilities
· Research and explore state-of-the-art AI technology.
· Build state-of-the-art solutions by designing algorithms and carrying out experiments.
· Publish at top-tier conferences/journals.
Requirements
Minimum Qualifications:
· PhD candidate in Computer Science, Computer Engineering, Electrical Engineering, or related fields such Physics and Mathematics
· Strong background in computer vision and deep learning
· Familiarity with common deep learning frameworks such as PyTorch, TensorFlow, etc.
· Strong programming skills in Python, C/C++, Java, etc.
Preferred Qualifications:
Possess knowledge and practical experience in at least one the following areas:
· computer vision techniques including image/video enhancement and generation, video understanding, semantic segmentation, depth estimation, etc
· AIGC topics, LLM, LVM, diffusion models, GANs, multi-modal model, other notably generative models
Good publication record at top-tier ML conferences (CVPR, ICCV, ECCV, etc.) and journals
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.
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