Research Intern - Vision Foundation Model and Generative AI
Description:
• Sony AI is seeking research interns to join our Privacy-Preserving Machine Learning (PPML) team.
• Conduct innovative research, develop methodologies, design and prototype solutions.
• Work with a fast-growing team of world-class scientists and engineers.
• Tackle the most challenging problems in foundation models and generative AI.
• Ideas published in papers, improve the experience of millions of users of Sony.
• Conduct fundamental and innovative research in large vision foundation model, data synthesis, federated learning and knowledge distillation.
• Be self-motivated and capable of proposing and implementing innovative ideas.
• Deep understanding of large vision foundation model development and various CV applications.
Requirements:
• Currently has, or is in the process of obtaining, a master/ PhD degree in computer science or related field.
• Publications or expertise in computer vision applications (e.g., object detection, segmentation), vision and multi-modal foundation model, data synthesis, knowledge distillation, federated learning, etc.
• Ability to communicate research in a clear and precise manner.
• Excellent analytical and programming skills in large-scale deep learning.
• Familiar with Python, Pytorch, etc.
• Experience with research communities, including having published papers at conferences, e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, etc.
• Strong communication and presentation skills
Benefits:
Apply Now
Apply Now
• Sony AI is seeking research interns to join our Privacy-Preserving Machine Learning (PPML) team.
• Conduct innovative research, develop methodologies, design and prototype solutions.
• Work with a fast-growing team of world-class scientists and engineers.
• Tackle the most challenging problems in foundation models and generative AI.
• Ideas published in papers, improve the experience of millions of users of Sony.
• Conduct fundamental and innovative research in large vision foundation model, data synthesis, federated learning and knowledge distillation.
• Be self-motivated and capable of proposing and implementing innovative ideas.
• Deep understanding of large vision foundation model development and various CV applications.
Requirements:
• Currently has, or is in the process of obtaining, a master/ PhD degree in computer science or related field.
• Publications or expertise in computer vision applications (e.g., object detection, segmentation), vision and multi-modal foundation model, data synthesis, knowledge distillation, federated learning, etc.
• Ability to communicate research in a clear and precise manner.
• Excellent analytical and programming skills in large-scale deep learning.
• Familiar with Python, Pytorch, etc.
• Experience with research communities, including having published papers at conferences, e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, etc.
• Strong communication and presentation skills
Benefits:
Apply Now
Apply Now