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US, MA, Boston

Internship

Onsite

Intern

Analog Devices, Inc. is a global semiconductor leader that bridges the physical and digital worlds. They are seeking a Machine Learning Engineering Intern to work with the engineering team, gaining hands-on experience in developing machine learning models and improving product performance.

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Responsibilities

Assist in the development and programming of machine learning algorithms for product and system optimization.
Work with structured and unstructured data to help build models and perform statistical analysis.
Support the translation of machine learning models into code and their integration into systems.
Participate in the testing and debugging of machine learning algorithms to ensure efficiency and accuracy.
Help document processes for algorithm development, installation, and maintenance.

Qualification

Required

Currently pursuing a Bachelor’s or Master’s Degree in Computer Science, Data Science, or a related field.
Interest in machine learning, data processing, and software development.
Basic understanding of machine learning principles and statistical modeling.
Knowledge of programming languages such as Python or R for machine learning.
Familiarity with statistical techniques like decision trees, logistic regression, and Bayesian analysis.
Interest in data science, machine learning, and AI technologies.
Strong problem-solving and analytical skills.
Ability to work collaboratively with engineering teams and communicate technical concepts effectively.