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Sony AI is seeking research interns to join our Privacy-Preserving Machine Learning (PPML) team to conduct innovative research, develop methodologies, and design and prototype solutions for foundation models and generative AI, including vision foundation models, knowledge transfer, data synthesis, federated learning, and model compression.

Requirements

• 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.
• 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.

Responsibilities

• Conduct fundamental and innovative research in large vision foundation model, data synthesis, federated learning andknowledge distillation, including but not limited to architecture design and methodology design.
• Be self-motivatedand capable ofproposing and implementing innovative ideas.
• Deep understanding of large vision foundation model development and various CV applications, such as Image classification, object detection, pose detection, semantic image segmentation, etc.
• Write reports and give presentations to internal and external audiences.
• Contribute to library and tool development to support research and business.
• Publish influential research outcomes in top-tier conferences and journals.

Other

• Currently has, or is in the process of obtaining, a master/PhD degree in computer science or related field.
• Ability to communicate research in a clear and precise manner.
• Strong communication and presentation skills
• Honesty, trustworthiness and ethical conduct are material requirements for the responsibilities outlined above.