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AI & Machine Learning Engineering Intern

ZelloAustin, Texas
On-site Intern

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Experience Level

Entry Level

Qualifications

We are looking for candidates who are pursuing a degree in Computer Science, Engineering, Data Science, or a related field. Familiarity with AI and machine learning concepts, along with hands-on experience in programming (Python, Java, etc.) and working with APIs, is essential. A proactive attitude, strong problem-solving skills, and the ability to work collaboratively in a fast-paced environment are key attributes we seek.

About the job

IMPORTANT: Please be aware, scammers may try to impersonate Zello by reaching out regarding job opportunities. We will never ask you for bank account information, checks, or other sensitive information as part of our hiring process. All correspondence will come from the zello.com email domain. If you’re unsure, please email recruiting@zello.com with questions.

About Zello

Zello is a premier voice-first communication platform that leverages our cutting-edge push-to-talk technology to enhance collaboration and productivity for desk-less workers. With over 175 million users globally, we proudly stand as the leading push-to-talk app worldwide, facilitating an astonishing 9 billion messages each month.

We are deeply committed to our core values, which guide our mission daily. We take pride in supporting frontline workers, connecting individuals during crisis situations around the world, and honoring our commitment to first responders.

And this is where you come in.

Zello's Data & AI team has successfully launched customer-facing AI features (such as the Ella assistant, AI Insights, message summaries, and AI-driven search) and is currently developing the internal AI infrastructure that will enhance the efficiency and effectiveness of all teams within the company. We are seeking an engineering intern who can tackle real operational challenges—such as support triage bottlenecks, manual data workflows, and fragmented internal knowledge—and create functional AI-powered tools. This is a hands-on role focused on building rather than merely observing or researching.

The Role

You will report to the Head of Data & AI, collaborating with the AI engineering team to design and implement internal productivity tools powered by LLMs, embeddings, and automation. The ideal candidate is someone who has independently built projects utilizing LLMs—not just because it was assigned, but out of genuine curiosity and a desire to see it come to fruition. You will have significant autonomy, real users, and tangible impact from your very first week.

After a Successful Internship, You Will Have:

  • Delivered at least two internal AI tools that are essential to Zello teams on a weekly basis—be it an automated triage agent, a CRM enrichment pipeline, an LLM-driven Slack workflow, or something entirely new.

  • Made substantial contributions to Zello's AI platform infrastructure—such as enhancements to embeddings pipelines, RAG systems, evaluation frameworks, or reusable components for future projects.

  • Dramatically reduced manual effort in at least one operational workflow, providing clear before-and-after metrics to demonstrate your impact.

  • Created comprehensive documentation that enables others to easily understand and build upon your work.

About Zello

Zello is a leading voice-first communication platform dedicated to enhancing productivity and collaboration for desk-less workers. We take pride in our innovative push-to-talk technology, which has earned us the trust of millions globally. Our mission is to connect people during critical times and support frontline workers with cutting-edge solutions.

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