42dot Internship opportunity to develop and evaluate foundation models alongside machine learning engineers. The intern will own a focused project involving model training, fine-tuning, and evaluation.
Responsibilities
We’re looking for an intern to help our team develop and evaluate foundation models. You’ll work alongside machine learning engineers, gain experience with model training and fine-tuning, and own a focused project with clear deliverables.
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.
Qualification
Ability to debug problemsCuriosityFine-tuning modelsUsing GPUsInterview Process
Required
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.
Preferred
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.
