Research Intern: Action Proficiency Understanding in Videos - Honda Research Institute USA

Research Intern: Action Proficiency Understanding in Videos

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Research Intern: Action Proficiency Understanding in Videos

Job Number: P26INT-13
Honda Research Institute USA (HRI-US) is seeking a highly motivated and independent Ph.D. research intern to join our team in advancing research in human action understanding and computer vision for long videos. The project focuses on skill assessment and proficiency estimation in videos. This role is ideal for a researcher with a strong background in video understanding, human-object interaction, and vision-language models. The intern will work on real-world challenges involving long-horizon human activity videos and contribute to high-impact publications and patents.
San Jose, CA

 

Key Responsibilities

 
  • Conduct cutting-edge research in evaluating skill and proficiency in videos.
  • Evaluate state-of-the-art baselines on existing benchmarks.
  • Perform literature reviews, formulate hypotheses, run experiments, and analyze results.
  • Lead or contribute to writing research papers, including potential submission to top-tier computer vision or machine learning conferences (e.g., CVPR, ICCV, NeurIPS, ECCV).
  • Write well-structured, efficient code using deep learning frameworks such as PyTorch.

 

Minimum Qualifications

 
  • Currently enrolled in a Ph.D. program in Computer Vision, Machine Learning, Artificial Intelligence, or a closely related field.
  • Publication record at top-tier conferences (e.g., CVPR, ICCV, ECCV, WACV, NeurIPS, ICLR).
  • Prior research experience with multimodal language models, spatiotemporal video encoders, and video action understanding.
  • Previous experience with untrimmed procedural, sports or everyday-like video datasets.
  • Excellent programming skills, the ability to write reproducible research code, and proficiency in deep learning frameworks, especially PyTorch.
  • Strong written and verbal communication skills.

  • Ability to independently drive research, from ideation to experimentation and publication.

 

Bonus Qualifications​

  • Familiarity with generative models such as diffusion models.
  • Experience working with hand or body pose and human-object interaction.
  • Experience working on procedural error detection or understanding.

 

Years of Work Experience Required   0
Desired Start Date  May 2027
Internship Duration  3 Months
Position Keywords  Human Object Interaction, Proficiency Estimation, Vision Language Models, Learning from Narration

Alternate Way to Apply

Send an e-mail to careers@honda-ri.com with the following:
- Subject line including the job number(s) you are applying for 
- Recent CV 
- A cover letter highlighting relevant background (Optional)

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