Research Intern (Video)

Responsibilities

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  Build and refine datasets for video understanding and multimodal reasoning, including temporal QA, action recognition, event prediction, and spatial understanding.

  
  


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  Evaluate video-language models (Video-LLMs) and audio-visual datasets, including those derived from large-scale sources such as HowTo100M.

  
  


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  Conduct experiments analyzing long-context modeling efficiency, compression strategies, and data optimization techniques.

  
  


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  Contribute to benchmark standardization efforts and assist in setting up public leaderboards for evaluation and comparison.

  
  

Qualifications

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  Strong background in computer vision, video analytics, or multimodal learning.

  
  


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  Proficient in building and managing video data processing pipelines.

  
  


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  Understanding of transformer-based temporal models (e.g., TimeSformer, VideoGPT, etc.).

  
  


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  (Preferred) Experience with video-QA, action recognition, or multimodal reasoning datasets.

  
  


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  (Preferred) Relevant publications in top-tier conferences.