Teradyne is looking to develop and train an AI agent on their Design for Reliability (DFR) guidelines and principles to create a reliable, interactive assistant capable of providing real-time guidance to engineers.
Requirements
- 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.
Responsibilities
- Ingest and structure Teradyne's DfR guidelines and internal documentation into the AI agent's knowledge base, focusing on Retrieval-Augmented Generation (RAG) principles.
- 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.).
- 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.
- Large-scale generating question-and-answer pairs to ensure the agent accurately interprets the guidelines.
Other
- 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.
- 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.
