Machine Learning Knowledge Integration Spring Co-op (Teradyne, N. Reading, MA)

Our Purpose 

TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results. Opportunity Overview Insert title position into the 2-4 sentences on the role of the position within the company

Opportunity Overview

At Teradyne, we're committed to innovation through collective expertise. We are seeking a highly motivated COOP/intern to develop and train an AI agent on Teradyne’s Design for Reliability (DFR) guidelines, and principles. The role involves ingesting the DFR guidelines into the large language model, followed by working with senior reliability engineers to train and validate the model. This will involve large-scale generating question-and-answer pairs to ensure the agent accurately interprets the guidelines. The goal is to create a reliable, interactive assistant capable of providing real-time guidance to engineers based on Teradyne’s DFR principles. This role offers hands-on experience in AI training, technical documentation, and reliability engineering, making it ideal for candidates passionate about machine learning and hardware design standards.

• Data Ingestion & Structuring: Ingest and structure Teradyne's DfR guidelines and internal documentation into the AI agent's knowledge base, focusing on Retrieval-Augmented Generation (RAG) principles.
• Agent Development: Design, build, and deploy a functional prototype of the AI agent using appropriate Large Language Model (LLM) frameworks (e.g., Llama, GPT and LangChain, LlamaIndex, etc.).
• Training and verification: Collaborate with senior engineers to validate and rigorously test the agent's accuracy. Refine AI responses to ensure alignment with Teradyne’s DFR principles and improve guidance accuracy.

All About You
We seek individuals who share our passion and determination. Our commitment to customer success drives us to go the extra mile. If you’re ready to join us in this mission, take a closer look at the minimum criteria for the position.

• We are seeking a master’s or PhD student in the Boston area pursuing an advanced degree in Computer Science, Electrical Engineering, AI/ML, or a related technical field.
• Demonstrable understanding of Large Language Models (LLMs) and fundamental concepts in Natural Language Processing (NLP) and Retrieval-Augmented Generation RAG.
• Strong proficiency in LLM and agentic frameworks, relevant data science/machine learning libraries, Python and SQL.
• Pursuing or obtained a master’s degree or higher in computer science, Electrical Engineering, or related areas of study.

We are only considering candidates local to position location and are unable to provide relocation for this position.

This position is not eligible for visa sponsorship.

Compensation:
The base hourly range for this role is $25.50-$51.75. This range is a good faith estimate, and the amount of base salary will correspond with experience and skill set. This range can also fluctuate depending on demand and location.