Research Intern (Vision / VLM)

Responsibilities

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  Design workflows to curate high-quality image editing and generation datasets for controllable diffusion and instruction tuning.

  
  


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  Conduct evaluations of vision-language models, including image understanding, caption alignment, and editing precision.

  
  


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  Assist in the training and evaluation of diffusion models or reward models.

  
  


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  Explore visual reasoning datasets that bridge images and text prompts.

  
  

Qualifications

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  Strong background in computer science, data engineering, artificial intelligence, or related fields, with hands-on experience in large-scale vision data systems.

  
  


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  1+ years of experience in computer vision or multimodal machine learning (e.g., PyTorch, Diffusers, CLIP, BLIP, etc.).

  
  


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  Solid understanding of image-text alignment and latent-space editing.

  
  


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  (Preferred) Familiarity with aesthetic models, diffusion-based editing, vision-language modeling (VLM), or visual question answering (VQA) tasks.

  
  


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  (Preferred) Relevant publications in top conferences.