Machine Learning Intern (PhD)

Analog Devices • Boston, MA

2d • $22 - $41

About The Position

Explore the future of AI and machine learning with hands-on experience at ADI! Join our innovative AI/ML team as a Machine Learning Intern, where you'll gain practical experience developing and implementing machine learning solutions that power real-world applications in the semiconductor industry. This internship is designed to help you build foundational skills in data science, programming, and algorithm development while working alongside experienced engineers. As a Machine Learning Intern, you’ll support the development of machine learning models and algorithms that enhance product performance and system efficiency. You’ll work with structured and unstructured data, assist in model testing and validation, and contribute to the integration of ML solutions into ADI’s cutting-edge technologies.

Requirements

• Currently enrolled in a PhD program in Electrical Engineering or a related technical field (e.g., Electronics Engineering)
• Advanced programming skills in Python (or R)
• Familiarity with machine learning principles and statistical modeling
• Interest in AI technologies, data processing, and software development

Responsibilities

• Assisting in the development and programming of machine learning algorithms
• Supporting data preprocessing, feature engineering, and statistical analysis
• Helping translate ML models into production-ready code and systems
• Participating in testing, debugging, and validating ML models
• Documenting processes for model development, deployment, and maintenance
• Collaborating with cross-functional teams to support AI/ML initiatives

Benefits

• At Analog Devices, you'll be part of a collaborative and innovative team that's shaping the future of technology.
• We offer a supportive environment focused on professional growth, competitive compensation and benefits, work-life balance, and the opportunity to work on cutting-edge projects that make a real impact on the world.
• You'll have access to continuous learning opportunities and mentorship from industry experts.

What This Job Offers

• Career Level: Intern
• Education Level: Ph.D. or professional degree