# Machine Learning Intern - Multimodal Models Generative AI

**Company**: NVIDIA
**Location**: Hong Kong
**Experience**: internship
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Hong-Kong-STP/Machine-Learning-Intern---Multimodal-Models-Generative-AI_JR2017296-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_239f044d-07f

## Description

We're seeking a Machine Learning Intern to support research and development of large language models and multimodal models. You will work on model fine-tuning, parameter-efficient training, and architecture exploration. Assist with experiments, benchmarking, evaluation, and data analysis. Develop prototypes using NVIDIA AI platforms and GPU-accelerated tools. Collaborate with researchers and engineers on cutting-edge AI innovation projects. Explore opportunities for technical publications and research outputs.

Requirements:

- Pursuing BS, MS, or PhD in Computer Science, AI, Data Science, Engineering, Mathematics, or related fields.

- Experience with machine learning / deep learning.

- Strong Python programming skills.

- Familiarity with PyTorch or TensorFlow.

- Good analytical and problem-solving skills.

- Good verbal and written communication skills in English.

Preferred qualifications:

- Experience with LLMs, VLMs, multimodal AI, NLP, or generative AI.

- Experience with distributed training or GPU computing.

- Interest in applied research and publications.

## Skills

### Required
- Python
- PyTorch
- TensorFlow
- Machine Learning
- Deep Learning

### Nice to have
- LLMs
- VLMs
- Multimodal AI
- NLP
- Generative AI
- Distributed Training
- GPU Computing

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Hong-Kong-STP/Machine-Learning-Intern---Multimodal-Models-Generative-AI_JR2017296-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)