Zello→
AI & ML Engineering Intern at Zello in Austin, TX
InternshipOn-siteFull-timeAustin, TX
Skills
llm apisml frameworkspythonsqlembeddings
Job Description
Summary: Zello is a voice-first communication platform that enhances collaboration for desk-less workers. They are seeking an engineering intern to build internal AI-powered tools that improve operational workflows and productivity across teams.
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:
- 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
- Built at least one working application using an LLM API — a hackathon project, a personal tool, coursework that produced real software
- 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
- Familiarity with ML frameworks like PyTorch or TensorFlow — understand model architectures and can work with existing models, not just API wrappers
- Understand how embeddings, vector search, and retrieval-augmented generation work — even if you haven't deployed them at scale
- Instinctively think about how to automate manual processes
- Scope your own work. Given a loosely defined problem, ask good questions early, propose an approach, and then run with it
Required Skills: LLM APIs, ML frameworks, Python
Important Skills: SQL, Embeddings
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
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