AI Research Intern, BioNemo R&D Model Development - 2026 at NVIDIA

Hanoi, Hanoi, Vietnam

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

AI, Biotechnology, Healthcare, Computational ScienceIndustries

Requirements

Currently pursuing a degree in Computer Science, Computer Engineering, or a related field
Proven experience with machine learning and generative AI model development
Strong programming skills in Python, its libraries, and deep learning frameworks like PyTorch
Outstanding problem-solving abilities and strong attention to detail
Ability to work collaboratively in a diverse and inclusive environment
Familiarity with protein engineering, biotechnology, and molecular biology is a strong plus

Responsibilities

Develop generative models for protein backbone/structure generation, prediction, and molecular docking using NVIDIA technology
Collaborate with AI experts to implement and refine algorithms
Conduct research and experimentation to enhance model performance
Work closely with cross-functional teams to integrate models into existing platforms
Participate in regular team meetings to discuss progress and determine next research steps

Skills

Key technologies and capabilities for this role

Machine LearningGenerative AIProtein Structure PredictionMolecular DockingPythonNVIDIA Technology

Questions & Answers

Common questions about this position

What is the location for this AI Research Intern position?

The role is based in Hanoi/HCM City, Vietnam.

What are the required skills for this internship?

Candidates need to be pursuing a degree in Computer Science, Computer Engineering, or related field, with proven experience in machine learning and generative AI model development, strong Python programming skills including libraries and PyTorch, outstanding problem-solving abilities, attention to detail, and ability to collaborate in a diverse environment. Familiarity with protein engineering, biotechnology, and molecular biology is a strong plus.

What does NVIDIA offer in terms of compensation and benefits?

NVIDIA offers highly competitive salaries and a comprehensive benefits package.

What is the company culture like at NVIDIA?

NVIDIA provides a diverse, supportive environment where everyone is inspired to do their best work, with a team of passionate engineers and researchers in a diverse and inclusive setting.

What makes a strong candidate for this AI Research Intern role?

Strong candidates will have a relevant degree in progress, hands-on experience with machine learning and generative AI, proficiency in Python and PyTorch, excellent problem-solving skills, and the ability to collaborate effectively, with biotech knowledge as a plus.

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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