Live Broadcast Tech Intern — Real Ownership & Impact

Lytehaus Group

New York (NY)

Hybrid

USD 24,796 - 34,440

Part time

14 days+
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Benefits offered by this job

Remote-friendly
Office access at WeWork NYC

Job summary

Lytehaus Group in New York City is seeking a Software Engineering Intern to contribute to live broadcasting and data tooling. You’ll ship features quickly and work with founders directly, getting hands-on exposure to a seed-stage startup mid-launch.

Ideal candidates are currently studying CS/engineering, comfortable with JavaScript/TypeScript, and have experience with React, Node, or Python. This paid internship offers flexible hours and remote-friendly collaboration.

Qualifications

  • Currently studying CS/engineering or related field; we care about what you can build, not the credential.
  • Comfortable with JavaScript/TypeScript and at least one of React, Node, or Python.
  • Bonus: experience with real-time systems (WebSockets, streaming), TikTok/social APIs, OBS or broadcast tooling, or basic ML/data work.
  • Bias to shipping; you’d rather ship something live tonight than perfect next month.

Responsibilities

  • Work on live broadcast tooling: overlays, vote tallies, real-time audience interaction systems.
  • Develop web and internal tools: landing pages, applicant/participant flows, production dashboards.
  • Handle data pipeline work: capturing, structuring, labeling behavioral signals from live episodes.
  • Engage in rapid prototyping; ship weekly or daily around live show schedules.

Skills

JavaScript
TypeScript
WebSockets

Education

CS or related field

Tools

React
Node.js
Python

Job description

Lytehaus Group in New York City is seeking a Software Engineering Intern to contribute to live broadcasting and data tooling. You’ll ship features quickly and work with founders directly, getting hands-on exposure to a seed-stage startup mid-launch.

Ideal candidates are currently studying CS/engineering, comfortable with JavaScript/TypeScript, and have experience with React, Node, or Python. This paid internship offers flexible hours and remote-friendly collaboration.

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