AI Engineering Intern, Neural Machine Translation - 2026 at NVIDIA

Ho Chi Minh City, Vietnam

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

Currently pursuing a degree in Computer Science, Engineering, or a related field
Strong understanding of AI principles and machine learning techniques
Proven experience with programming languages such as Python, C++, or equivalent
Familiarity with neural networks, natural language processing, and machine translation
Excellent problem-solving skills and a collaborative approach

Responsibilities

Developing a diverse translation dataset encompassing Vietnamese, English, and Japanese
Evaluating and fine-tuning Small Language Models (SLMs) to ensure translation quality, consistency, and cultural accuracy
Collaborating with cross-functional teams to integrate the NMT model into a voice bot for interpretation capabilities
Assessing and improving neural machine translation algorithms for a range of applications
Contributing to the release of an internal dataset for training advanced NMT models, improving NVIDIA's AI capabilities

Skills

Key technologies and capabilities for this role

PythonC++Neural NetworksNatural Language ProcessingMachine TranslationTensorFlowPyTorchSmall Language ModelsMultilingual Datasets

Questions & Answers

Common questions about this position

What is the location for this AI Engineering Intern position?

The position is based in Ho Chi Minh City.

What education and skills are required for this role?

Candidates must be currently pursuing a degree in Computer Science, Engineering, or a related field, with strong understanding of AI principles and machine learning techniques, proven experience with Python, C++, or equivalent, and familiarity with neural networks, natural language processing, and machine translation.

What does the team environment look like at NVIDIA for this internship?

You'll collaborate with a top-tier team committed to innovation, crafting impactful solutions, and pushing AI boundaries.

Is the employment type full-time for this internship?

Yes, the employment type is full time.

What experience will make me stand out for this AI intern role?

Experience with multilingual datasets and cross-linguistic NMT, understanding of Vietnamese, English, and Japanese language structures and cultural nuances, hands-on experience with AI models and tools like TensorFlow or PyTorch, strong communication skills, and ability to work in a fast-paced, dynamic environment.

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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