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Deepgram

Software Engineering- Internship

USA | Remote (Remote)fulltimeinternAdded today

About this role

Join Deepgram's engineering team as an intern to own a real, scoped project building voice AI infrastructure. You'll ship production code for speech-to-text, text-to-speech, or voice agent systems while leveraging AI as a core tool in your development workflow.

What you'll do

  • Own and ship one end-to-end project from design through tested, merged code in staging or production
  • Land pull requests that improve core components like the ASR pipeline, TTS latency, or developer SDKs
  • Ramp on Deepgram's codebase and speech/audio domain deeply enough to debug and extend systems with decreasing mentorship
  • Integrate AI tools as a default part of prototyping, testing, and debugging workflows
  • Present project outcomes and learnings to the team, with documentation for future iterations
  • Make at least one measurable, lasting improvement to the platform or developer experience

What they're looking for

  • Proficiency in at least one programming language with ability to learn new languages quickly
  • First-principles reasoning and debugging mindset when systems break
  • Active, creative use of AI tools for learning, prototyping, and development
  • Clear communication of technical work, trade-offs, and problem-solving approaches
  • Experience building projects, tools, scripts, or automations independently
  • Coursework or hands-on exposure to machine learning, distributed systems, or audio/speech processing
  • Ability to give and receive feedback and iterate rapidly
  • Comfort with evolving requirements and fast-moving technical environments

Benefits

  • Mentored ownership of a real, scoped project with measurable impact
  • Access to cutting-edge voice AI technology and production systems
  • Exposure to how research, engineering, and customer feedback loop together
  • Remote work flexibility
  • Opportunity to work with leading voice AI platform used by 200,000+ developers
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Deepgram

Deepgram builds voice AI and speech processing technology, offering platforms that power real-time speech recognition and audio intelligence across cloud, edge, and embedded environments. The company is hiring applied ML engineers, backend engineers, embedded AI engineers, and customer-facing roles (customer success and pre-sales engineers) to scale its AI infrastructure and drive enterprise adoption.

View all jobs at Deepgram

Likely interview questions

  • Tell us about a project you built because you wanted it to exist — what was the problem, and how did you approach it?
  • How do you currently use AI tools in your learning and development workflow? Give a specific example where it helped you ship faster or debug better.