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Internship

Research Intern - Machine Learning

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Huawei

Aug 15

🚀 Off-cycle Internship

London

AI generated summary

  • The candidate must have a PhD degree or equivalent research experience in computer science, a strong research track record, hands-on experience with text-to-image generative models, excellent coding skills in Python, and strong written and oral communication skills. Desired qualifications include an interest in human in the loop and interactive solutions, mentoring experience, industry experience, and familiarity with large language models and vision-language models.
  • The Research Intern - Machine Learning at Huawei will lead and participate in cutting-edge research projects, devise innovative solutions, mentor interns, and engage externally through drafting publications, giving talks, and collaborating with academic leaders.

Off-cycle Internship

Research & Development, Software EngineeringLondon

Description

  • We are looking for a Research Intern to join our London Research Centre’s Machine Learning Team. In particular, we seek someone with experience in Generative Modelling (Diffusion Models, Transformers) to join us. We are tackling an ambitious project focusing on interactive/human in the loop solutions. The research scientist will conduct both academic and applied research while advancing the state-of-the-art in machine learning. They will collaboratively develop advanced products and services with other groups in the company and help land their research within company products

Requirements

  • Pursuing PhD degree in computer science or related field; or equivalent research experience
  • Hands on experience with text-to-image generative models
  • Strong research track record. E.g. have published in top tier conferences including NeurIPS, ICLR, ICML, CVPR, ICCV; and journals including JMLR and TPAMI, etc.
  • Strong coding skills: ability to quickly prototype in Python
  • Excellent written and oral communication skills
  • Desired:
  • Interest in human in the loop and interactive solutions
  • Experience mentoring other researchers
  • Experience working in industry and collaborating with product groups.
  • Hands on experience with large language models and vision-language models (e.g. CLIP) is a plus.

Education requirements

Currently Studying
PhD

Area of Responsibilities

Research & Development
Software Engineering

Responsibilities

  • Leading and participating in cutting-edge research projects, focusing on interactive generative models.
  • Devising and prototyping innovative solutions in collaboration with product teams.
  • Mentoring research interns.
  • External engagement: drafting academic publications, giving talks and collaborating with academic leaders.

Details

Work type

Full time

Work mode

office

Location

London