Machine Learning Intern
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, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at and on LinkedIn and Twitter (X). Machine Learning Intern 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. About The Role 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. Responsibilities include, but are not limited to:
- 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
- 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
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