Intern, Artificial Intelligence

L3Harris•Rochester, FL

1d•Hybrid

About The Position

This internship focuses on supporting the development of machine learning solutions using data-driven models. The intern will contribute to improving MLOps and data pipelines, work with multi-domain datasets, perform data curation and exploratory data analysis, and support the regression testing, validation, and documentation of ML models. The role also involves identifying and integrating pre-trained models and foundation models into larger AI solutions, as well as implementing and optimizing containerization for AI/ML workloads.

Requirements

Pursuing a Master’s Degree in Artificial Intelligence, Computer Engineering, Computer Science, Mathematics, or related technical degree at an accredited university.

Nice To Haves

Experience with Differentiable Programming libraries (e.g., PyTorch, TensorFlow)
Experience with Database Manipulation libraries (e.g., SQL, NoSQL, Pandas, PySpark)
Experience with Python and building Virtual Environments (e.g., Conda, UV, Docker)
Experience developing models using classical and SotA Machine Learning
Experience maintaining training and inference infrastructure for ML models

Responsibilities

Support development of machine learning solutions using data-driven models.
Contribute to the improvement of MLOps and data pipelines.
Work with multi-domain datasets and phenomenologies to develop effective data plans.
Perform data curation and exploratory data analysis.
Support proper regression testing, validation, and documentation of ML models.
Identify relevant pre-trained models and collaborate with team to integrate into solution pipelines.
Identify state-of-the-art (SotA) foundation models and advocate for use in larger AI solutions.
Implement, maintain, and optimize containerization for seamless deployment, scaling of AI / ML workloads, and sharing with other teams for easy reproduction.