Machine Learning Intern (PhD) at Analog Devices in Boston, MA

Summary: Analog Devices, Inc. is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. As a Machine Learning Intern, you will support the development of machine learning models and algorithms that enhance product performance and system efficiency. 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 Required Qualifications: - 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 Required Skills: Machine Learning, Python Important Skills: Statistical Modeling, Data Processing Nice-to-Have Skills: Collaboration Benefits: Competitive compensation and benefits, Continuous learning opportunities, Mentorship from industry experts