AI/ML Engineer Intern

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

Are you a problem solver looking for a hands‑on internship position with a market‑leading company that will help develop your career and reward you intellectually and professionally?

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today’s innovators stay Ahead of What’s Possible. Learn more at www.analog.comand on LinkedIn and X.

At ADI, you will learn from the brightest minds who are here to help you grow and succeed. During your internship, you will make an impact through work on meaningful projects alongside a team of experts. Collaborating with colleagues in an environment of respect and responsibility, you will create connections that will become a part of your professional network.

ADI’s culture values aligned goals, work‑life balance, continuous and life‑long learning opportunities, and shared rewards. The internship program features various lunch‑and‑learn topics and social events with other interns and full‑time employees.

At ADI, our goal is to develop our interns so they are the first to be considered for full‑time roles.

About the Role

The AI/ML Engineer Intern role provides students with the opportunity to apply machine learning and artificial intelligence concepts to real‑world engineering challenges. Working alongside experienced engineers and researchers, you will contribute to the development, evaluation, and optimization of AI/ML solutions while gaining hands‑on experience with modern tools, frameworks, and technologies.

Key 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.

Must‑Have Skills

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

Preferred Education and Experience

• Currently pursuing a Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, Artificial Intelligence, or a related field.
• Academic, research, or project experience involving AI, machine learning, deep learning, or data analytics.
• Exposure to model optimization, edge AI, computer vision, signal processing, or related technologies is a plus.
• Familiarity with tools such as PyTorch, TensorFlow, CUDA, C/C++, or similar development frameworks.

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law.

Job Req Type: Internship/Cooperative

Required Travel: No

The expected wage range for a new hire into this position is $22 to $41.

Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.