AI Research Intern, TAO Multi-Modal Model Development - 2026 at NVIDIA

Hanoi, Hanoi, Vietnam

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

AI, Machine Learning, Autonomous VehiclesIndustries

Requirements

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 (strong plus)

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

Skills

Multi-modal AI

Vision-Language Models

TAO Toolkit

Deep Learning

Image Segmentation

Universal Segmentation

Model Fine-tuning

Benchmarking

NVIDIA SDKs

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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