Member Of Technical Staff Intern (AI)

TL;DR

Member Of Technical Staff Intern (AI): Exploring, designing, and implementing state-of-the-art machine learning models and LLM-driven architectures for the intelligence layer powering "Computer" with an accent on agentic AI workflows, hybrid search, and LLM reasoning and memory management. Focus on translating academic AI research into scalable, low-latency enterprise software.

Location: Austin, Texas, United States; Palo Alto, California, United States

Company

hirify.global is building the future of work with Computer, an AI teammate that unifies data sources, tools, and workflows into a single AI-ready platform.

What you will do

• Research and implement novel techniques in agentic AI workflows, hybrid search, and Large Language Model (LLM) reasoning and memory management.
• Develop methodologies to improve how LLMs interact with hirify.global’s enterprise knowledge graphs, moving beyond traditional RAG approaches.
• Design robust evaluation frameworks to measure accuracy, latency, and relevance for semantic indexing, reranking pipelines, and our core answering engine.
• Partner with software engineers, product managers, and senior researchers to deploy models and algorithms into real-world production environments.
• Summarize and present research findings, literature reviews, and prototype results to engineering and leadership teams.

Requirements

• Education: Currently enrolled in a Ph.D. program (second year or beyond) OR a Master’s degree with 4+ years of experience in Computer Science, AI, Machine Learning, Data Science, or a related quantitative field.
• Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow).
• Solid knowledge of NLP, Deep Learning, and Information Retrieval.
• Experience with Large Language Models, prompt engineering, or vector embeddings.
• A track record of independent research or impactful academic/industry projects.

Nice to have

• Publications in top-tier AI/ML conferences (NeurIPS, ACL, EMNLP, ICML, etc.).
• Experience with knowledge graphs, SQL-native data layers, or building autonomous AI agents.
• Active contributions to open-source AI projects.

Culture & Benefits

• 1:1 pairing with a senior researcher.
• Direct influence on the capabilities of "Computer"; your work will be deployed in production.