AI Engineer

Remote, San Francisco, CA, United States • 0.01% - 0.10%

Deepgram


Role Locations

  • Remote
  • San Francisco, CA, United States

Compensation

0.01% - 0.10%

Employees

11 - 25 people

Address

180 Capp St Unit 6
San Francisco, CA, 94110-7223, US

Tech Stack

  • Rust
  • Python
  • PyTorch
  • CUDA
  • Vue.js
  • React
  • JavaScript
  • HTML
  • CSS
  • Docker
  • Webpack
  • Terraform
  • Bash

Role Description

At Deepgram, we’re on a mission to be the speech company — starting with providing the world’s best automatic speech recognition for business. We’ve scrapped traditional speech recognition methods for patented end-to-end deep learning speech models built specifically for the needs of each customer. This allows enterprise data science and product teams to confidently tackle initiatives like building voice assistants for doctors, using AI to assist call center agents, automatically detecting good candidates to hire, and more.

Because we serve a diverse range of customers, our team prides itself on our willingness to learn and our tenacity to keep improving. This attitude has led to exciting growth and a recent fundraising round.

The Opportunity

Deepgram is the leader is next-generation speech analytics, holding multiple patents on end-to-end deep learning for on GPUs. At Deepgram, you would be designing, training, and deploying state-of-the-art models on the latest GPU hardware, as well as exploring new learning techniques, data analytics, and software architectures that enable Deepgram to continue delivering the most accurate, scalable, and robust speech recognition available today. Ideal candidates would thrive on a faced-paced, impact-driven environment where learning new skills on-the-fly is encouraged.

Responsibilities

  • Understanding the latest advances in deep learning and speech analytics.
  • Developing new, or maturing existing, models for speech analytics.
  • Analyzing new datasets for untapped potential.
  • Working with customers to customize models.
  • Deploying new models to production.
  • Configuring systems (software, hardware, network, etc.) for optimal machine learning performance.

Skills

  • Familiarity with one or more of the popular deep learning frameworks: PyTorch, TensorFlow, Keras, etc.
  • Competence with Python, and preferably knowledge of C, C++, and/or Rust.
  • Familiarity navigating UNIX-style systems.
  • Comfortable communicating and brainstorming in groups, and leading new research thrusts.
  • Comfortable working directly with customers to understand how to improve deep learning offerings.

About Deepgram

Large scale, high performance speech recognition for large communication platforms and enterprises (that means: phone calls and meetings). We're the fastest, most technically oriented, frontier pushing speech company in the world and enjoy working with people who continue to push that boundary.

Company Culture

We thrive on deep tech, and we get stoked when engineers can find great ways to intuitively communicate these complex ideas to users, improve the performance of our innermost loops and business logic, and help couple customer needs to engineering resources. Customer-driven features provide plenty of opportunity for fast-paced, fresh projects.

Interested in this role?
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