Assist in the design, development, and deployment of AI/ML models and analytics solutions.
Support data preparation, feature engineering, and model training using modern ML frameworks.
Contribute to MLOps workflows, including testing, validation, and automation for model deployment.
Collaborate with engineers to integrate AI/ML capabilities into software systems and applications.

Requirements

U.S. citizenship required.
Must Be Currently Enrolled As: College Sophomore or Junior with a graduation date later than Spring 2026.
You are flexible and agile, and love working under pressure and enjoy breaking the box.
You are comfortable without structure.
You love to code.
Actively pursuing a bachelor’s degree in computer science or software engineering.
Strong programming skills in Python (additional languages such as Java or C++ are a plus).
Basic understanding of AI/ML concepts and willingness to learn advanced techniques.
Strong communication and collaboration skills, a passion for coding, and an eagerness to take on new challenges.
Academic Courses or Previous Intern Work:
You have taken an Artificial Intelligence course that has introduced you to classic AI search, reasoning, basic neural methods, and probabilistic reasoning.
You have taken an Introduction to Data Science course that has been able to provide you exposure into data acquisition, cleansing, manipulation, and machine learning toolkits using Python and SQL, with hands-on data work.
You have taken a course or had a previous internship that has provided you exposure into data pipelines, feature extraction, model evaluation, visualization, and ethical considerations using real datasets and Python toolkits.
You have taken a course or had a previous internship that has provided you exposure to AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonJavaC++AI/ML conceptsdata preparationfeature engineeringmodel trainingMLOpsmodel deploymentdata pipelines

Soft Skills

flexibilityagilityworking under pressurecollaborationcommunicationpassion for codingeagerness to learnproblem-solving