We’re an audio AI data company, with top research labs as customers, backed by tier 1 investors, with an ex-Scale AI founding team.

We’re hiring a founding engineer to help us unlock our next stage of growth. Here’s what you’ll do:

Build pragmatic 0-to-1 and 1-to-n solutions, critical to driving customer impact and revenue today
Solve hard audio data-related research problems that are long-term strategic to the business
Work shoulder-to-shoulder with our customers, who are the best researchers at the best labs in the space

Does this sound like you

Experience or interest in audio – could be speech AI product engineering or research, signal processing, or audio engineering
Extreme ownership mentality – you care about the success of the business as much as you do your work product
Excited to build solutions directly impacting revenue now, as well as solve complex technical problems that drive step-changes in our offering
Have a track-record of shipping high-quality, end-to-end features in early-stage (0-to-1) and growth (1-to-n) environments
Collaborative team-player, with a bias towards action and a ‘yes’-first mentality, willing to roll up your sleeves and pitch in on other functions
Ready to grind with us late nights and weekends
Excited to partner directly with the CTO and CEO every day

Technical challenges you’d work on

Ship full-stack features (spanning across frontend, backend, ML) that you can iterate on directly with our users
Design engineering solutions to improve the efficiency of our data generation operations
Build out data pipelines capable of processing terabytes of audio data daily, using automated quality control and modern orchestration tools
Develop and deploy audio-focused ML/LLM solutions, managing the full lifecycle from research/prototyping to production

Our current tech stack

Proficiency in all of these is preferred but not required

David AI

Founding Engineer