Internship, Foundation Models

The role

An intern will help the team develop and evaluate foundation models. You will work alongside machine learning engineers on model training, fine-tuning, and a focused project.

What you will do

• Reproduce baseline results and understand models, datasets, and evaluation workflows.
• Implement and evaluate improvements in fine-tuning, data quality, or inference efficiency.
• Run controlled experiments and analyze model performance, computational cost, and failure cases.
• Contribute reusable code, evaluation tools, and technical documentation.
• Present findings and recommendations to the team.

Required qualifications

• Strong Python programming skills and familiarity with PyTorch or a similar framework.
• Understanding of machine learning fundamentals, deep learning, and transformer architectures.
• Experience with an ML project through coursework, research, or personal work.
• Ability to debug problems, interpret experimental results, and communicate clearly.
• Curiosity, initiative, and willingness to learn.

Nice to have

• Working with pretrained models and tools such as Hugging Face Transformers.
• Fine-tuning models, preparing datasets, or building evaluation pipelines.
• Using GPUs, Linux, Git, and experiment tracking tools.

Before you apply

• Application Review - Coding Test - 1st interview - 2nd interview - Offer Negotiation - Hiring
• All documents must be submitted in PDF format and under 30MB in size.

About the company

42dot is a mobility AI company and the Global Software Center of Hyundai Motor Group. They develop software-defined vehicle technologies.