Broadcast Engineer (Junior) — AI-Driven, Flexible Hours

Broadcast Management Group; Chicago (IL); On-site; USD 50,000 - 70,000; Full time

Job summary

Broadcast Management Group (BMG) is hiring a Junior Broadcast Engineer in Chicago to support a managed broadcast and streaming facility. You will keep master control, live production, transmission and streaming systems running, and help the team build smarter, faster ways of working.

This role suits someone who solves problems independently, learns new tools quickly, and is curious about how AI and automation can improve engineering efficiency.

Qualifications

• 1–3 years in broadcast engineering, live production, or related technical role (or equivalent training).
• Working knowledge of video and audio signal flow (SDI, IP video, embedded audio).
• Basic networking skills: IP addressing, VLANs, switches.
• Comfort using AI tools to research, document and solve problems.
• Able to work flexible hours, including early mornings, evenings and weekends around live programming.

Responsibilities

• Provide technical support for production facilities and keep all equipment running correctly.
• Support live transmissions and on-demand and live video streaming.
• Go on remote shoots to provide technical support as needed.
• Perform equipment maintenance outside planned programming windows.
• Maintain master control systems, including playout servers, automation, routing and on-air monitoring.

Skills

Self-starter

Troubleshooter

Efficiency-minded

AI-curious

Clear communicator

Education

Degree or certification in broadcast technology or related field

Tools

RTS intercom

Ross Video

Grass Valley

NDI / SRT / RIST

Dante

Job description

Broadcast Management Group (BMG) is hiring a Junior Broadcast Engineer in Chicago to support a managed broadcast and streaming facility. You will keep master control, live production, transmission and streaming systems running, and help the team build smarter, faster ways of working.

This role suits someone who solves problems independently, learns new tools quickly, and is curious about how AI and automation can improve engineering efficiency.