AI Video Engineer Intern: Build & Validate Vision Pipelines

E1

United States

Remote

USD 25,000 - 39,000

Part time

13 days ago
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Job summary

E1 is seeking an AI Video Engineer Intern to help build systems for processing and verifying video content, blending video pipelines with computer vision or multimodal ML. You will experiment and evaluate while turning successful prototypes into robust production software and documenting limitations clearly.

The role emphasizes turning experiments into production-ready code and collaborating across data preparation, experimentation, and engineering to support the verification workflow with

Qualifications

  • Pursuing CS/ML degree or equivalent study
  • Proficiency in Python and ML workflows
  • Experience with computer vision or multimodal ML
  • Familiarity with video processing concepts
  • Strong experimental discipline and clear comparisons
  • Interest in translating prototypes to production code

Responsibilities

  • Develop pipelines to ingest, transform, and analyze video assets
  • Apply vision or multimodal models to real footage and assess performance
  • Design evaluations to track model quality and ensure reproducible results
  • Record failure modes and known limitations for model improvement
  • Prototype approaches and harden promising methods into production code
  • Collaborate across data prep, experimentation, and engineering for verification workflows

Skills

Python
ML workflows
Computer vision
Multimodal ML
Video processing
Experimentation

Education

Pursuing CS/ML degree

Tools

TensorFlow
PyTorch

Job description

E1 is seeking an AI Video Engineer Intern to help build systems for processing and verifying video content, blending video pipelines with computer vision or multimodal ML. You will experiment and evaluate while turning successful prototypes into robust production software and documenting limitations clearly.

The role emphasizes turning experiments into production-ready code and collaborating across data preparation, experimentation, and engineering to support the verification workflow with

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