Software Engineering Internship

🕒 July 17

🇺🇸 United States – Remote

💵 $55 - $65 / hour

👨‍🎓 Internship

⚪️ Entry-level

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 19%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Deepgram

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $47M Series B on 2022-11

Consulting • Healthcare • Logistics

Deepgram is a leading voice AI company that provides powerful APIs for speech-to-text, text-to-speech, and language understanding applications. Their platform enables developers to build sophisticated voice AI solutions for use cases such as contact centers, medical transcription, conversational AI, and more. Known for unmatched accuracy, speed, and cost-effectiveness, Deepgram's technology is trusted by top enterprises and startups worldwide. By offering real-time and highly accurate transcription capabilities, Deepgram helps businesses gain insights from voice data, making it an essential tool for transforming voice interactions.

📋 Description

• Own and ship one scoped project end-to-end over the internship — from design to reviewed, tested code running in [staging/production] — with mentor check-ins at each milestone. • Land merged pull requests that improve [a component or product pillar — e.g., the ASR pipeline, TTS latency, or the developer SDKs]. • Make one measurable improvement that outlasts your term. • Use AI as a default part of how you build — [e.g., to prototype, test, or debug faster] — and share one workflow improvement back with the team. • Ramp on Deepgram's codebase and [your domain — e.g., speech/audio ML or real-time systems] deeply enough to debug and extend [system] with decreasing hand-holding by the end of the term. • Present your project and learnings to the team, and leave behind documentation so the next person builds on what you started.

🎯 Requirements

• You've built things because you wanted them to exist — projects, tools, scripts, or automations, whether in class, on your own, or in a prior role. • You reach for AI as a default part of how you learn and build, not an occasional add-on — and you can talk about where it helps and where human judgment still has to lead. • You reason from first principles: when something breaks, you dig into *why* rather than patching around it. • You write and read code in at least one language, and you pick up new languages, tools, and codebases quickly. • You can explain your work clearly — what you built, what broke, and what you'd do differently. • You treat "good enough" as a question, not a finish line, and you're drawn to hard problems. • You give and receive feedback well and want to get better fast.

🏖️ Benefits

• None listed