David AI, San Francisco
Product quality shows up directly in our outputs. A confusing Babel flow produces bad recordings. A Slingshot view that buries a problem lets operators ship it to a customer. You will own features end to end, from the interface a contributor or operator sees to the service and pipeline behind it, and you will ship to production daily.
You will work closely with researchers, both in house and the labs'. We work with them to understand what to measure and which data to collect next, and we turn that into products that run at scale. When our researchers finds a new kind of data that could improve models, you build the recording flows and quality checks that turn it into something we can sell. Our ML team builds models that run inside these products, and you help take them to production.
We’re hiring product engineers across the stack and at varying levels of experience, and will place you on the team where your strengths fit best, whether that leans toward interfaces, backend systems or both.
Every data product we sell runs through these surfaces: conversation data for speech-to-speech models, emotive speech for TTS, transcriptions for ASR, evaluations of public and private models, and more.
We sponsor international candidates across a range of visa types, including H-1B transfers, H-1B1, O-1, E-3, and TN, and we support STEM OPT. While we can’t guarantee any individual outcome, we’ve successfully sponsored teammates from all over the world.
David AI builds the data collection and evaluation systems that leading AI labs and FAANG companies use to continuously improve their voice models. We were founded in 2024 by former Scale AI engineers and operators, and we’ve raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other investors.
The winning voice models will be built on the best systems for collecting human speech data and evaluating their models. Our challenge as engineers is to measurably improve our customers' models by building the most scalable and effective platforms for collecting speech data, verifying and refining its acoustic quality, and evaluating models.
David AISan Francisco
$165K–$225K / yr
Posted Aug 1, 2026
David AISan Francisco, California
$120K–$200K / yr
Posted Nov 7, 2024
David AISan Francisco, California
$160K–$240K / yr
Posted Aug 14, 2025
David AISan Francisco
$165K–$225K / yr
Posted today
David AISan Francisco
$195K–$315K / yr
Posted Aug 1, 2026
David AISan Francisco
$120K–$160K / yr
Posted 7 days ago
Source: the David AI Ashby job board. We last checked this job 9 h ago. We first saw it 4 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.
This base pay is above the median for software engineering jobs in the Bay Area with no level in the job title.
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