engineering
Posted Aug 13, 2025Staff Product Engineer
at David AI
San Francisco, United StatesOn-site
Responsibilities
- - Build scalable systems processing terabytes of audio data and deriving actionable insights.
- - Drive research iteration and interface deployment for data collection with researchers and Operations.
Requirements
- ABOUT DAVID AI 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.
- 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’re looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI.
- ABOUT OUR ENGINEERING TEAM 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.
- ABOUT THIS ROLE As a Staff Product Engineer at David AI, you’ll lead our Product 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.
- - Stay current with cutting-edge frameworks across software engineering, data engineering, ML, and signal processing.
- YOUR BACKGROUND LOOKS LIKE - 6+ years of product-focused full-stack engineering experience. - Strong web development fundamentals with
- Experience in fast-paced environments with detail-oriented execution. - Focus on building intuitive, highly polished production-grade user experiences. - Track record of success in technical leadership or engineering management. - AI/ML or audio
- experience with digital signal processing and a deep understanding of speech. -