Hands-on Voice AI Software Engineering Internship

Madrona Venture Labs

United States

On-site

USD 16,740 - 33,480

Full time

14 days+

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Job summary

Deepgram is seeking motivated students for Fall 2026 and Summer 2027 cohorts to join the engineering team. You will own a real project end-to-end, working on production-grade voice AI platforms like real-time ASR and TTS, and collaborate closely with research, engineering, and customers.

You’ll prototype with AI tools and contribute to meaningful, shipped code. Ideal candidates are pursuing a CS/engineering degree or equivalent, with coursework or projects in ML, real-time systems, or audio

Qualifications

  • You’ve built things: projects, tools, scripts, or automations.
  • You reach for AI as a default in learning and building.
  • You reason from first principles when something breaks.
  • You write and read code in at least one language and pick up new ones quickly.
  • You can explain your work clearly and what you'd do differently.
  • You strive for better, not just good enough, and you welcome feedback.

Responsibilities

  • Design, build, and ship a scoped project end to end with a mentor.
  • Contribute to a production codebase across Deepgram’s platforms.
  • Explore voice AI, real-time systems, and feedback loops with customers.
  • Prototype using Agentic tooling and propose workflow improvements.

Skills

AI mindset
First principles
Coding skills
Clear communication
Feedback oriented

Education

Currently pursuing a degree in computer science, engineering, or a related field

Job description

Deepgram is seeking motivated students for Fall 2026 and Summer 2027 cohorts to join the engineering team. You will own a real project end-to-end, working on production-grade voice AI platforms like real-time ASR and TTS, and collaborate closely with research, engineering, and customers.

You’ll prototype with AI tools and contribute to meaningful, shipped code. Ideal candidates are pursuing a CS/engineering degree or equivalent, with coursework or projects in ML, real-time systems, or audio

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