Machine Learning Intern at NVIDIA

Hong Kong, Hong Kong

Apply Now

Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

Pursuing BS, MS or PhD in Computer Science, Data Science, Mathematics, or a related field
Experience with machine learning and/or deep learning
Excellent oral and written communication skills in English
Familiar with Linux OS environment
Python Programming

Responsibilities

Keeping track of the latest developments in NVIDIA technology and build demos for regional colleagues' outreach activities
Assist the team engaging AI community and collaborators through Accelerated AI workshops
Develop demonstrations using NVIDIA SDKs e.g., RIVA, Merlin, NeMo, TensorRT, Maxine, Triton Inference Server, etc
Algorithmic development and experimentation on machine learning projects
AI Software development

Skills

Key technologies and capabilities for this role

Machine LearningDeep LearningPythonLinuxNVIDIA SDKsRIVAMerlinNeMoTensorRTMaxineTriton Inference ServerAI Software Development

Questions & Answers

Common questions about this position

What education is required for the Machine Learning Intern position?

Candidates must be pursuing a BS, MS, or PhD in Computer Science, Data Science, Mathematics, or a related field.

What technical skills are needed for this internship?

Experience with machine learning and/or deep learning, familiarity with Linux OS environment, and Python programming are required.

Is this a remote position or full-time in office?

This information is not specified in the job description.

What is the compensation for the Machine Learning Intern role?

This information is not specified in the job description.

What soft skills are important for this role?

Excellent oral and written communication skills in English are required.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free