Foundation Models Intern: ML Engineering & Evaluation

42dot; Sunnyvale (CA); On-site; USD 32,000 - 48,000; Full time

Job summary

42dot in Sunnyvale, CA, is seeking an intern to help our team develop and evaluate foundation models. You will work with machine learning engineers, gain experience in model training and fine-tuning, and own a focused project with clear deliverables.

You will reproduce results, experiment with improvements, and contribute reusable code, evaluation tools, and documentation while presenting findings to the team.

Qualifications

• Strong Python programming with PyTorch experience.
• Understanding of ML fundamentals, DL, and transformers.
• Experience on an ML project via coursework/research/personal work.
• Ability to debug, interpret results, and communicate clearly.
• Curiosity, initiative, and willingness to learn.

Responsibilities

• 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, cost, and failure cases.
• Contribute reusable code, evaluation tools, and technical documentation.
• Present findings and recommendations to the team.

Skills

Python

PyTorch

ML basics

Transformer models

Debugging

Communication

Curiosity

Tools

HuggingFace Transformers

GPUs

Linux

Git

Experiment tracking

Job description

42dot in Sunnyvale, CA, is seeking an intern to help our team develop and evaluate foundation models. You will work with machine learning engineers, gain experience in model training and fine-tuning, and own a focused project with clear deliverables.

You will reproduce results, experiment with improvements, and contribute reusable code, evaluation tools, and documentation while presenting findings to the team.