Data Science Intern

We’re looking for a Data Science Summer Intern who’s excited to jump into some of the most interesting areas of AI today. You’ll spend time experimenting with prompt engineering, figuring out how to evaluate large language models, and helping design multi-agent systems that work together to solve real problems. You’ll also work alongside data scientists and ML engineers on deep learning projects like time series forecasting, building out our feature store, and running model experiments. The goal is to give you hands-on experience that feels both practical and forward-looking, so you leave with a stronger skill set and a clear sense of how AI gets applied in the real world.

YOUR ROLE, YOUR IMPACT

• Design and run prompt engineering experiments, exploring techniques, templates, and evaluation methods to improve LLM outputs, and extend this work into testing multi-agent workflows for tasks like reasoning, summarization, and decision support.

• Collaborate with data scientists and ML engineers on deep learning projects for time series forecasting, contributing to feature engineering, model training, hyperparameter tuning, and backtesting.

• Develop and maintain data pipelines and feature store components, ensuring features and datasets are clean, standardized, reusable, and well-documented.

• Prototype and evaluate models using traditional ML and deep learning approaches, compare against baselines, and apply MLOps practices like experiment tracking, reproducibility, and containerization to prepare successful prototypes for production.

• Work in cloud environments (AWS, GCP, or Azure) to train and scale models, and clearly document workflows, experiments, and results for team adoption and future use.