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David AI in San Francisco is looking for a Staff Full Stack Engineer to lead engineering projects focused on processing audio data into actionable insights. This role involves rapid development of scalable systems and mentoring younger engineers.
The ideal candidate has over 6 years of experience in full-stack engineering, strong web development fundamentals, and a commitment to delivering customer value. Benefits include unlimited PTO and comprehensive health coverage.
David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in.
David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we’ve brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors.
Our team is sharp, humble, ambitious, and tight-knit. We’re looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI.
At David AI, our engineers build the pipelines, platforms, and models that transform raw audio into high-signal data for leading AI labs and enterprises. We're a tight-knit team of product engineers, infrastructure specialists, and machine learning experts focused on building the world’s first audio data research company.
We move fast, own our work end-to-end, and ship to production daily. Our team designs real-time pipelines handling terabytes of speech data and deploys cutting‑edge generative audio models.
As a Staff Full Stack Engineer at David AI, you’ll lead our engineering team in building cutting‑edge products that help our customers make sense of the audio data they’ll use to train their models, working closely with researchers to consistently iterate on how to best collect our data.
Lead full‑stack feature development and iterate rapidly to deliver innovations to our users daily.
Build scalable systems processing terabytes of audio data and deriving actionable insights.
Deploy and evaluate LLM‑ and DSP‑based solutions to enhance customer data understanding.
Drive research iteration and interface deployment for data collection with researchers and Operations.
Mentor engineers and establish technical standards as the team scales.
Stay current with cutting‑edge frameworks across software engineering, data engineering, ML, and signal processing.