About the role#
We are looking for an intern to help our team develop and evaluate foundation models. You will work alongside machine learning engineers, gain experience with model training and fine-tuning, and own a focused project with clear deliverables.
What you'll do#
- Reproduce baseline results and understand our 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 your findings and recommendations to the team.
What you'll need#
- 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 a willingness to learn.
- Experience working with pretrained models and tools such as Hugging Face Transformers.
- Experience fine-tuning models, preparing datasets, or building evaluation pipelines.
- Experience using GPUs, Linux, Git, and experiment tracking tools.
Location & details#
- This is a full-time, paid internship based on-site in San Francisco, California.
- The term is rolling.
About 42dot
42dot develops software and artificial intelligence for autonomous urban transportation systems. The company focuses on software-defined vehicles and mobility services. Founded in 2019, it maintains operations in Seongnam-si. The organization employs over 900 people.
How to get in at 42dot
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