Sf, remote
51 - 100 employees
26 - 50 engineers
$25m - $50m funding
Series b

Deepgram’s end-to-end deep neural network is revolutionizing the speech-to-text (STT) market and taking on the big guys. We’re redefining what companies can do with voice technology by offering a platform with AI architectural advantage, not legacy tech retrofitted with AI. We’ve raised over $37 million and have been recognized as an Inc. Best Workplace (2021), a Forbes Top 50 AI Company to Watch (2021), and a CB Insights Top 100 AI Startup (2021), among others.

Our tech advantage is end-to-end deep learning, but our strength lies in our diversity of people, ideas, and experiences that allow our company to create amazing STT products for people who are true innovators in the field. We believe every voice should be heard—and understood—from our transcriptions to our customers to our employees. Come join our revolution to unlock the power of voice technology for everyone. We want to hear what you’ve got to say!

Active Roles

Why join us?

  • We've increased revenue 3x in the last year and are fully funded for growth by good investors (YC, Slack, Nvidia, Wing VC, Tiger Global).

  • We've completely rewritten the speech stack to be truly smart and scalable based on insights from our physics background building particle and astrophysics experiments.

  • We're considerably more efficient — tens to hundreds of times — and more scalable, which means we have significant adoption at large scale platforms you've heard of.

Engineering at Deepgram

Engineering team and processes

We have a pretty flat engineering team: everyone has the opportunity to contribute to every project. For the most part, our engineers work directly on customer-specific requirements and feature enhancements — often working with the customers -- so they can immediately see the fruits of their labors. We frequently have projects that engineers can take considerable, or even complete, ownership of. Our team communicates in person, over Slack, and via ad hoc video meetings.

Technical Challenges

We have built the fastest and most scalable speech analytics engine ever made. This means that we need to handle incredible amounts of audio per hour, and still remain responsive and fault-tolerant. Doing this robustly requires careful design of the APIs, the high-performance computing backends, and the company-owned GPU hardware in our datacenter.

Projects you might work on
  • You would be working on creating new, advanced speech analytics, such as sentiment analysis processing that fuses textual transcripts with tone of voice. These analytics would be run against many thousands of hours of audio daily and on real-time voice streams.

  • You would be developing our open source tools, managing the project and engaging the community.

  • You would be identifying, and then implementing, data services for feeding new types of audio data into our machine learning pipelines.

Tech stack

Working at Deepgram

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.

Diversity and Inclusion
Connect with our team during your hiring process

As part of our commitment to an inclusive workplace, we are happy to offer prospective engineers the chance to connect with our engineering employees who come from underrepresented backgrounds. It’s a way to get a better sense of our team and what it might be like to work with us.

If you’re interested in connecting with our team, be sure to bring this up during one of our introductory calls!

Perks & benefits
  • Generous Vacation
  • Work from Home
  • Health Insurance
  • Flexible Hours
  • Team Activities
  • Travel
  • Maternal/Paternal Leave
  • Company Retreats
  • Dedicated Human Resources team
  • LGBTQ+ friendly
Our Team by the Numbers

Interested in this company?
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