AI/ML Engineer Intern
Analog Devices2 months ago
Wilmington, MA, USAIntern
H1B sponsor
Responsibilities
- Assist with developing, training, and evaluating machine learning and deep learning models.
- Support data preparation, analysis, and model performance assessment.
- 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.
Requirements
- Knowledge of machine learning and deep learning fundamentals.
- Proficiency in Python programming.
- Familiarity with PyTorch or TensorFlow.
- Understanding of data structures, algorithms, and software development principles.
- Strong analytical, problem-solving, and communication skills.
- 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 preferred.
- Familiarity with CUDA, C/C++, or similar development frameworks is preferred.
Benefits
- Hands-on internship experience with meaningful projects alongside experienced engineers and researchers.
- Mentorship, professional development, lunch-and-learn sessions, and social events.
- Opportunities to build a professional network and be considered for future full-time roles.
- No required travel.
- Expected wage range of $22 to $41.
Categories
About Analog Devices
Analog Devices, Inc. designs and sells analog, mixed-signal, RF, power, sensor, and digital signal processing ICs to OEMs across industrial, automotive, communications, consumer, and healthcare markets. Founded in 1965 and headquartered in Wilmington, Massachusetts, the NASDAQ-listed company earns revenue from catalog and application-specific semiconductors and supporting software used in applications from factory automation and vehicles to data centers and medical devices.