Software Engineer
David AI
Software Engineer
David AI
AI dataset marketplace with bounty system
At David AI, our vision is to bring impactful AI into billions of lives through voice. Our mission is to help the world's leading AI companies build better voice models and agents. We're building the data and evaluation infrastructure behind those models.
Founded in 2024, we're a fast-growing Series B company backed by NVIDIA, Meritech, First Round, YC, and others, with ~70 people across San Francisco and New York City.
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.
You would build products with real users:
Tens of thousands of users take on work in our data collection platform and get paid for recording and transcribing audio, reviewing model outputs, and more.
Slingshot is where our operators run the business and decide what ships.
Data Marketplace is where customers search for and download research-grade datasets, and run and interact with private evaluations of pre-release models.
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.
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.
Ship features that thousands of contributors and operators use every day, across both the frontend and the APIs and services that power it.
Build scalable systems and data processing pipelines that turn petabytes of audio into usable quality signals.
Build, deploy and evaluate LLM and DSP based solutions that help customers understand nuanced features of our datasets.
Work with Research and Operations to quickly stand up new recording flows, quality checks and evaluations, and iterate on what they learn.
Keep up with new tools in software engineering, data engineering, machine learning and signal processing, and apply them where they improve the product.
5+ years of professional engineering experience in frontend, backend or full stack work.
Strong fundamentals in at least one side of the stack, and the curiosity to work across it.
Experience building both rapid prototypes and systems that scaled to many users.
A track record of delivering work that created value for customers.
Comfort in a fast environment where steady progress comes from careful execution.
A focus on intuitive, polished, production-grade products.
AI/ML or audio experience is not required.
Education or work experience in digital signal processing and a deep understanding of speech.
Experience building and deploying ML models in production, or building interfaces for ML-powered and data-heavy products.
Experience leading engineering teams (as a manager or tech lead) in a high-growth company.
Next.js, TypeScript, Node.js, PostgreSQL, AWS, Modal, WebRTC, FFmpeg
Unlimited PTO.
Top-notch health, dental, and vision coverage with 100% coverage for most plans.
FSA & HSA access.
401k access.
Meals 2x daily through DoorDash + snacks and beverages available at the office.
Unlimited company-sponsored Barry's classes.
We sponsor international candidates across several visa types, including H-1B transfers, H-1B1, O-1, E-3, and TN. We also hire candidates on STEM OPT. If you’re on OPT, we’ll want to confirm you have a path to one of the visas listed above before your OPT ends. While we can’t guarantee any individual outcome, we’ve successfully sponsored teammates from all over the world.
David AI runs a specialized data marketplace for AI applications. It connects AI model developers with data providers, allowing them to exchange high-quality datasets. The platform uses a bounty system: developers request datasets or data services, and providers claim bounties or list their datasets in a catalog. Revenue comes from transaction fees and possible premium subscriptions, with an emphasis on ensuring data quality, clear data rights, and fair pay for providers. The goal is to make it easier to obtain diverse, well-captioned datasets that improve AI model training and performance.
Explore more opportunities at David AI