• Design and develop a platform that enables large-scale data management and AI-assisted annotation, by closing the ‘AI-human-data’ loop
• Design and develop a productization platform that automatically (1) optimizes the AI computation, (2) verifies the performance of AI, and (3) deploy them agiley
• Design and develop an AI training platform that enables distributed training and AutoML in various network environments
• Research of AI methods, e.g., active learning, human-AI interaction, label refinement, federated learning, AutoML, and weight pruning, that can strengthen these platforms

For more information on the project, please visit: https://bit.ly/33bBv8U

• Great programming skills
• Experience in conducting research projects
• Experience or understanding of web development
• Understanding of Python development

• Understanding of deep learning
• Understanding of distributed system
• Academic achievements in Computer Science fields

In this position, you’ll have the opportunity to:

• Attend an AI conference once an year (CVPR/ICCV/ECCV/NeurIPS/ICML/ICLR/MICCAI)
• Conduct research in the best possible environment (Rich data and top-notch equipment)
• Contribute to the academia with admirable research or development results through papers

• Send your application to apply@lunit.io
• Application documents: resumé (free format)
• Order of interviews: document screening, interview with hiring team, technical interview, executive-level interview