AI Automation INTERN

As an AI Automation Intern, you will not be doing busywork. You will be hands-on with our production software pipelines, helping to design, test, and scale our core machine learning models and generative AI systems. This role is ideal for a student or recent graduate eager to bridge the gap between academic theory and high-impact industrial AI deployment. **Key Responsibilities** * Model Development & Prototyping: Assist in building and refining pattern recognition models, neural network architectures, or agentic workflows (e.g., LangChain, LlamaIndex). * Pipeline Infrastructure: Collaborate with data and software engineers to develop scalable data pipelines for curation, automated labeling, and model evaluation. * Generative AI & RAG: Help build and optimize Retrieval-Augmented Generation (RAG) architectures, minimizing model hallucinations and improving response retrieval using embeddings and re-ranking. * Testing & Quality Assurance: Create and execute automated and human-in-the-loop evaluation frameworks to benchmark model accuracy, performance, and safety guardrails. * Cross-functional Collaboration: Participate in code reviews, technical documentation, and standups to ensure robust integration of AI components into production systems. **What We Are Looking For** * Educational Background: Currently pursuing or recently graduated with a degree (BS, MS, or PhD) in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field. * Core Programming: Strong proficiency in Python and hands-on experience with modern backend or ML frameworks (e.g., FastAPI, PyTorch, TensorFlow, or JAX). * AI/ML Fundamentals: Solid understanding of machine learning basics, Natural Language Processing (NLP), or Computer Vision.