Machine Learning Engineering Summer - Fall Intern 2026 (Teradyne, No Reading, MA)
About The Position
At Teradyne, we are advancing intelligent automation and AI-driven software systems to support engineering workflows. As a Machine Learning / AI Engineering Intern, you will work on applied AI initiatives involving large language models (LLMs), reinforcement learning (RL), and intelligent decision-making systems. You will collaborate with cross-functional teams to explore model training, evaluation, and integration of AI capabilities into software platforms. This role offers hands-on experience building practical AI systems in a real-world engineering environment. We welcome students in Computer Science, Electrical & Computer Engineering, or related fields with strong programming and machine learning backgrounds.
Requirements
- Strong analytical and problem-solving skills.
- Proficiency in Python and deep learning frameworks (e.g., PyTorch or TensorFlow).
- Familiarity with large language models and modern AI development tools.
- Pursuing or obtained a master’s degree in computer science, electrical engineering, or related areas of study.
Nice To Haves
- Exposure to reinforcement learning concepts (e.g., policy gradients, value functions) is a plus.
- Experience with AI orchestration or agent frameworks (e.g., LangChain, AutoGen, etc.) is a plus.
Responsibilities
- Develop and fine-tune machine learning models, including large language models.
- Experiment with reinforcement learning and policy optimization methods.
- Support data preparation, synthetic data generation, and model evaluation.
- Contribute to the design of intelligent, agent-based workflows.
- Collaborate with software and engineering teams to prototype AI-enabled solutions.
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What This Job Offers
Career Level
Intern
