# Software Engineering

**Company:** [Deepgram](https://hotfix.jobs/companies/deepgram)
**Location:** Remote
**Role:** ML Engineering
**Salary:** $114k – $135k/yr
**Experience:** 0+ years
**Skills:** Python, Machine Learning, Distributed Systems, audio processing, speech processing, APIs, Real-Time Systems, AI Tools, Debugging, Code Review
**Posted:** 2026-07-17

> Intern on the engineering team owning and shipping a real scoped project end-to-end (design to production code) in voice AI, ASR, TTS or related systems. Requires self-motivated builder with first-principles reasoning, AI-first mindset, and ability to quickly learn new languages/codebases.

## Job Description

## Key Goals
- 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 the 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.

## Minimum Skills, Knowledge & Capabilities
- 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.

## Preferred Qualifications
- Currently pursuing a degree in computer science, engineering, or a related field — or building equivalent skills through self-study, open source, or your own projects.
- Coursework or hands-on exposure to machine learning, distributed systems, audio/speech processing, or backend/web development.
- Have built or contributed to a project involving AI/ML, real-time systems, or APIs — hackathons, coursework, and personal projects all count.
- A prior internship or a project where you shipped something real, or an AI-assisted workflow you built for yourself.

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**Canonical:** https://hotfix.jobs/jobs/fd8fddd7-ecf7-427f-b30c-b406ca715739