AI/ML Engineer Intern - Hands-on ML & Edge AI

Analog Devices; Wilmington (DE); On-site; USD 30,000 - 56,000; Full time

Job summary

Analog Devices, Inc. in Wilmington, Delaware, is offering an AI/ML Engineer Intern role that lets students apply machine learning concepts to real‑world engineering challenges while gaining hands‑on experience with modern tools.

You will train and evaluate models, support data preparation, collaborate with cross‑functional teams, and contribute to AI/ML research projects. The program emphasizes learning, respect, and pathways to full‑time roles.

Qualifications

• Knowledge of machine learning and deep learning fundamentals.
• Proficiency in Python programming.
• Familiarity with ML frameworks such as PyTorch or TensorFlow.
• Understanding of data structures, algorithms, and software development principles.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Assist in developing, training, and evaluating machine learning and deep learning models.
• Support data preparation, analysis, and model performance assessment activities.
• Contribute to AI/ML research, experimentation, and proof‑of‑concept projects.
• Help optimize and deploy machine learning models for efficiency and scalability.
• Collaborate with cross‑functional teams to develop AI‑driven solutions.
• Document technical findings, methodologies, and project outcomes.

Skills

ML fundamentals

Python

PyTorch

TensorFlow

Data structures

Software development principles

Communication skills

Education

Bachelor’s degree (CS/CE/EE/Data Science/AI)

Tools

PyTorch

TensorFlow

CUDA

C/C++

Job description

Analog Devices, Inc. in Wilmington, Delaware, is offering an AI/ML Engineer Intern role that lets students apply machine learning concepts to real‑world engineering challenges while gaining hands‑on experience with modern tools.

You will train and evaluate models, support data preparation, collaborate with cross‑functional teams, and contribute to AI/ML research projects. The program emphasizes learning, respect, and pathways to full‑time roles.