AI Engineer Intern: Hands-On ML & Generative AI

ICF Olson; Reston (VA); Hybrid; USD 39,000 - 50,000; Full time

Benefits offered by this job

Mentorship

Hands‑on experience

Learning opportunities

Networking

Job summary

ICF Olson is seeking an AI Engineer Intern in Reston, VA for a 10‑week, full‑time, hybrid internship beginning in June and ending in August. The role focuses on building and deploying real‑world AI systems, including NLP and computer vision models, with mentorship from industry experts.

You will collaborate with researchers, ML engineers, data engineers, and data scientists, contributing to data prep, model design, training, and evaluation while gaining hands‑on experience in a fast‑paced,

Qualifications

• A completed bachelor's degree in computer science, ML, AI engineering, Data Science, or related field.
• 9 credit hours of graduate‑level CS/ML/AI coursework.
• US citizen or authorized to work in the US; internship is in Reston, VA.

Responsibilities

• Contribute to the AI lifecycle from data acquisition to deployment and evaluation.
• Develop and train ML models including deep learning and large-scale models.
• Analyze large datasets and perform feature engineering for model improvement.
• Collaborate with product managers, data scientists, and engineers to deliver AI‑driven solutions.
• Write clean, production‑level code in Python and C++ and participate in reviews.

Skills

Python

C++

Java

JavaScript

PyTorch

TensorFlow

Keras

Scikit-learn

Data preprocessing

ML lifecycle

Education

Bachelor's degree in Computer Science or related field

9 graduate‑level credits in CS/ML/AI

Tools

TensorFlow

PyTorch

Scikit-learn

Keras

Job description

ICF Olson is seeking an AI Engineer Intern in Reston, VA for a 10‑week, full‑time, hybrid internship beginning in June and ending in August. The role focuses on building and deploying real‑world AI systems, including NLP and computer vision models, with mentorship from industry experts.

You will collaborate with researchers, ML engineers, data engineers, and data scientists, contributing to data prep, model design, training, and evaluation while gaining hands‑on experience in a fast‑paced,