AI/ML Engineering Intern: Data & Analytics

Kenworth Truck Co.; Kirkland (WA); Presencial; USD 34.000 - 41.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

401k with company match

Health plans

Flexible spending accounts

Wellness programs

Descripción de la vacante

Kenworth Truck Company is seeking an AI/ML intern to join the Engineering Business Insights team. You will assist in data preparation, model development, and performance evaluation on real-world datasets to drive predictive analytics and automation.

The role offers an internship starting May or June 2027, with competitive pay and extensive benefits, and opportunities to work with experienced data science professionals in a Fortune 500 environment.

Formación

• Enrolled in a Bachelor's or Master's program in CS/DS/Engineering.
• Basic understanding of ML concepts and algorithms.
• Proficient in Python or R with ML libraries.

Responsabilidades

• Support data scientists and engineers in developing, training, and deploying AI/ML models.
• Prepare structured and unstructured data for model training and evaluation.
• Perform exploratory data analysis to uncover patterns and insights.
• Implement and evaluate basic ML algorithms using standard metrics.
• Build dashboards and visualizations to communicate insights.
• Document workflows, assumptions, and results for reproducibility.
• Collaborate across teams to meet project goals.

Conocimientos

Python

R

ML concepts

Data visualization

Educación

Bachelor’s or Master’s program in CS/DS/Engineering

Mechanical Engineering (education)

Herramientas

scikit-learn

pandas

NumPy

Tableau

Descripción del empleo

Kenworth Truck Company is seeking an AI/ML intern to join the Engineering Business Insights team. You will assist in data preparation, model development, and performance evaluation on real-world datasets to drive predictive analytics and automation.

The role offers an internship starting May or June 2027, with competitive pay and extensive benefits, and opportunities to work with experienced data science professionals in a Fortune 500 environment.