Deepgram (W16)
Speech AI API for large scale, fast, and accurate voice transcription and understanding. We help voice platforms and enterprises transcribe their calls and meetings with self-improving AI that achieves world leading accuracy and scale.

Full Stack Engineer

Remote / Remote
3+ years
About Deepgram

The fastest, most accurate, most reliable, most scalable speech transcription, with understanding — rebuilt just for enterprise.

About the role

Skills: Rust

Deepgram is looking for a user-focused Full Stack engineer to lead the design and implementation of Deepgram’s internal and external-facing products. You will design products ranging from our speech platform GUI, to internal labeling tools, to experimental games and tools powered by the latest deep learning technologies and implement secure, robust, and scalable customer-facing services. Your skill at building highly reusable code that overcomes technical challenges is paired with an intuition for delightful user experiences. You will be a critical voice in Deepgram’s Product and Engineering teams, driving high impact products from start to finish.


-Design products ranging from our speech recognition API, to internal labeling tools, to experimental games and tools powered by the latest deep learning technologies

-Implement secure, robust, and scalable customer-facing services

-Draw inspiration from users to identify and implement new product features.

-Collaborate cross-functionally with designers, sales, product, and marketing teams to review and improve product experiences.

-Own problems end-to-end, thinking through everything from user experience, data models, scalability, operability and ongoing metrics.

-Uphold our high engineering standards and bring consistency to the codebases, infrastructure, and processes you will encounter.

-Enjoy being a generalist — working on both the frontend, backend, and everything in between to tackle problems and delight customers.

Skills Needed

-Deep experience with modern frontend frameworks and tooling.

-Expert proficiency in one or more front-end languages/frameworks (preferably Rust+WASM, Vue, or Elm).

-Expert proficiency in a systems language, such as C, C++, or Rust (preferably Rust), with competence in Python.

-Strong UX sensibilities and enjoy perfecting the details that matter.

-A thoughtful approach to decision making. You know when to move fast and when to do things right.

-You thrive on a faced-paced, impact-driven environment where learning new skills on-the-fly is encouraged.

-Excellent communication skills, especially when remote. Ability to work well with any role in organization.

-Proficiency in version control (preferably git).

-Proficiency with UNIX-style systems.

-Proficiency working on remote systems.


We build all tech in house. True deep learning on a large scale utilizing large datasets, large compute resources, and technical model building while focusing on building systems that scale for users and research. software: Python, Rust, C/C++, JS/CSS/HTML/Vue, Torch/PyTorch, Tensorflow hardware: large scale deep learning data/training/inferencing systems

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