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Paid Internship
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24Open Positions

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Research Intern - Computer Vision (Visuals)

Huawei Technologies Research & Development (UK) Ltd
Found 2 months ago
Location
London, United Kingdom
Duration (Months)
3 Months
Time
Not disclosed
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Only UK
Last Verified
1 month ago

Education

  • PhD

Skills & Qualifications

Technical Skills

  • Computer Vision
  • AI & Machine Learning
  • (Visual) Large Language Models
  • multi-modality learning
  • PyTorch
  • Tensorflow
  • JAX
  • diffusion models

Soft Skills

  • research track record
  • written and oral communication skills

Job Description

We are looking for a Research Intern to join our London Research Centre’s Computer Vision team. In particular, we seek someone with experience in (Visual) Large Language Models and/or multi-modality learning to join us. Key Responsibilities: · Leading and participating in cutting-edge research projects focusing on multi-modality learning and visual large language models. · Writing research papers, we like to show the world our latest findings. This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required of his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited.

Requirements

  • at least one first-author paper in a top-tier venue (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR)
  • Ph.D. student in computer vision or machine learning during the course of the entire internship
  • Hands on experience with (visual) large language models or diffusion models
  • Strong coding skills: Ability to quickly prototype in PyTorch (it is okay if you only have Tensorflow or JAX experience).
  • Be updated with state-of-the-art, and like reading lots of papers.
  • Have good written and oral communication skills.

Related Field

  • AI & Machine Learning

Related Subfield

  • Computer Vision

Languages

  • English

Nice to Haves

  • experience both on Large Language Models and diffusion models, or in their combination such as Diffusion Large Language Models
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