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
- Web Application Stack: Next.js, TypeScript, Node.js, TailwindCSS, tRPC
- Database: PostgreSQL
David AI
