AI Research Intern, TAO Multi-Modal Model Development - 2026
NVIDIA· Intern
Hybrid (Hanoi), Hybrid (Ho Chi Minh City)internPosted 1mo ago
About the role
AI Research Intern focusing on multi-modal AI and vision-language model development within the TAO framework in Hanoi/HCM City, Vietnam, extending an existing internship to advance research in vision-language modeling, universal segmentation, and large-scale model training.
Responsibilities
- Develop and fine-tune multi-modal AI models using NVIDIA’s TAO Toolkit and deep learning frameworks.
- Contribute to the design and implementation of vision-language models (VLMs) and universal segmentation systems.
- Conduct experiments and benchmarking to evaluate model accuracy, robustness, and scalability.
- Collaborate with cross-functional teams to integrate research into production-level pipelines and NVIDIA SDKs.
- Participate in research discussions, code reviews, and technical documentation to share insights and improve methodologies.
Qualifications
- Currently pursuing a degree in Computer Science, Computer Engineering, or a related field.
- Proven experience with machine learning, deep learning, or computer vision model development.
- Strong Python programming skills and proficiency with PyTorch or similar frameworks.
- Solid understanding of neural network architectures, transformers, and multi-modal learning techniques.
- Excellent problem-solving abilities, attention to detail, and a collaborative mindset.
- Familiarity with vision-language models, image segmentation, or large-scale pretraining is a strong plus.
Skills
Required:PythonPyTorchNeural networks | Transformers
Nice to have:Vision-language modeling
Benefits
- Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.
Last updated Aug 28, 2026. Interested? Apply on the company site.
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