AI & ML Engineering Intern at Zello in Austin, TX

Summary: Zello is a voice-first communication platform that enhances collaboration for desk-less workers. They are looking for an AI & ML Engineering Intern to help build internal AI-powered tools that improve operational workflows and automate processes within the company. Responsibilities: - Design and build internal AI-powered tools using LLM APIs (Claude, OpenAI), ML frameworks (PyTorch, TensorFlow), and AI-assisted development tools against Zello's data stack (Snowflake, dbt) - Identify automation opportunities by shadowing internal teams (support, ops, sales) and understanding their real pain points - Prototype quickly, ship working v1s, collect feedback from actual users, and iterate - Contribute to shared AI infrastructure — prompt template libraries, evaluation harnesses, RAG pipeline components, data connectors - Communicate technical ideas clearly, grounded in robust scientific and engineering principles - Present your work and impact to the broader team Required Qualifications: - You're currently pursuing or have recently completed a degree in Computer Science, Data Science, Machine Learning, or a related technical field at a top-tier program, with a strong academic record - You've already built at least one working application using an LLM API — a hackathon project, a personal tool, coursework that produced real software. You didn't just follow a tutorial; you scoped a problem and shipped something - You understand Python and SQL deeply enough to reason about code structure, debug issues, and direct AI-assisted development tools (Claude Code, Cursor, Copilot) to produce high-quality output - You have familiarity with ML frameworks like PyTorch or TensorFlow — you understand model architectures and can work with existing models, not just API wrappers - You understand how embeddings, vector search, and retrieval-augmented generation work — even if you haven't deployed them at scale - You're the kind of person who sees a manual process and instinctively thinks about how to automate it - You scope your own work. Given a loosely defined problem, you ask good questions early, propose an approach, and then run with it Required Skills: LLM APIs, Python, SQL, Machine Learning frameworks, PyTorch, TensorFlow, Embeddings, Vector search, Retrieval-augmented generation, AI-powered tool development, AI platform infrastructure, Problem scoping, Autonomy Benefits: Competitive pay, Equity with significant upside, Flexible schedules and time off, Sabbatical after every five years of service, Ping-pong table, Free snacks in our break room