AI Video Engineer Intern
Video is the core asset on E1, and verifying it is central to how the platform works. You will build tooling that processes video and applies models to understand content — supporting the verification pipeline that lets brands trust what they are paying for.
Apply for this roleThis is a paid internship
All E1 internships are paid. We confirm your hourly rate and expected weekly hours in writing before you accept, and interns are paid for every hour worked.
What you will do
- Build pipelines that ingest, process, and analyze video content
- Apply and evaluate vision or multimodal models against real creator footage
- Measure model quality honestly and document where it fails
- Prototype quickly, then harden what works into production code
What we are looking for
- Studying computer science or machine learning, or building equivalent skills through self-teaching, coursework, or personal projects
- Python proficiency and familiarity with the ML ecosystem
- Coursework or projects in computer vision, multimodal ML, or video processing
- Sound experimental habits — you can tell a real result from a lucky one
Nice to have
Genuinely optional — missing all of these will not rule you out.
- FFmpeg or video-processing tooling
- PyTorch, Hugging Face, or vision-language models
- Experience deploying a model behind an API
Not a perfect match?
Research consistently shows strong candidates skip roles when they do not meet every bullet. If you are close on most of this list, apply and tell us where you are strong. We would rather read your application than miss you.
Apply — AI Video Engineer Intern
Attach your résumé and add a short note about what you have built.
Applying for AI Video Engineer Intern