Machine Learning Intern - Multimodal Models Generative AI

Nvidia·Hong Kong·Research / Applied Science

Nvidia is hiring a Machine Learning Intern - Multimodal Models Generative AI in Hong Kong. Posted 2026-05-08; applications close 2026-07-17 (in 29 days).

Role details

What you’ll be doing

  • Support research and development of large language models and multimodal models.
  • Work on model fine-tuning, parameter-efficient training, and architecture exploration.
  • Assist with experiments, benchmarking, evaluation, and data analysis.
  • Develop prototypes using NVIDIA AI platforms and GPU-accelerated tools.
  • Collaborate with researchers and engineers on cutting-edge AI innovation projects.
  • Explore opportunities for technical publications and research outputs.

What we need to see

  • Pursuing BS, MS, or PhD in Computer Science, AI, Data Science, Engineering, Mathematics, or related fields.
  • Experience with machine learning / deep learning.
  • Strong Python programming skills.
  • Familiarity with PyTorch or TensorFlow.
  • Good analytical and problem-solving skills.
  • Good verbal and written communication skills in English.

Ways to Stand Out from the Crowd

  • Experience with LLMs, VLMs, multimodal AI, NLP, or generative AI.
  • Experience with distributed training or GPU computing.
  • Interest in applied research and publications.

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Applying to this role

This Machine Learning Intern - Multimodal Models Generative AI role at Nvidia runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications.

Jorb AI tracks details for Machine Learning Intern - Multimodal Models Generative AI at Nvidia. Postings refresh hourly from primary careers pages. Job details mirror the firm's posting; the apply link goes directly to the source. Last refreshed 2026-06-17.

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