INTERNSHIP DETAILS

Machine Learning Intern - 2026

CompanyNVIDIA
LocationChina
Work ModeOn Site
PostedApril 20, 2026
Internship Information
Core Responsibilities
The intern will develop demonstrations using NVIDIA SDKs and track the latest developments in NVIDIA technology for regional outreach. They will also assist the team in engaging the AI community through workshops and conduct algorithmic development for machine learning projects.
Internship Type
full time
Company Size
46339
Visa Sponsorship
No
Language
English
Working Hours
40 hours
Apply Now →

You'll be redirected to
the company's application page

About The Company
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
About the Role

We are now looking for a Machine Learning Intern. Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time — the era of AI has begun. Image recognition and speech recognition — GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human creativity, conjuring up the amazing virtual worlds of video games and Hollywood films.

Now, NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for Deep Learning, and NVIDIA is increasingly known as “the AI computing company.

What you’ll be doing:

  • Keeping track of the latest developments in NVIDIA technology and build demos for regional colleagues outreached activities.

  • Assist the team engaging AI community and collaborator through Accelerated AI workshop.

  • Develop demonstration using NVIDIA SDKs e.g., Nemotron, NIMs, NeMo, Dynamo,Triton Inference Server, etc

  • Algorithmic development and experimentation on machine learning project

  • AI Software development

​​​What we need to see:

  • 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

Key Skills
Machine LearningDeep LearningPythonLinuxNVIDIA SDKsNemotronNIMsNeMoDynamoTriton Inference ServerAlgorithm DevelopmentAI Software DevelopmentData ScienceMathematicsComputer Science
Categories
TechnologySoftwareData & AnalyticsEngineeringScience & Research