About the job
About David AI
David AI is pioneering the field of audio data research, applying rigorous R&D methodologies to create high-quality datasets essential for advancing AI technologies. Our mission is to seamlessly integrate AI into everyday life, leveraging the versatility and accessibility of audio as a medium. With the rapid evolution in audio AI and the increasing demand for effective use cases, we recognize that high-quality training data remains a critical challenge. This is where David AI steps in.
Founded in 2024 by a team of former Scale AI engineers and industry operators, we have quickly established a strong client base consisting of major FAANG companies and AI research labs. Recently, we secured a $50 million Series B funding round from top-tier investors including Meritech, NVIDIA, and Amplify Partners, among others.
Our team is composed of driven, humble, and collaborative individuals. We are on the lookout for exceptional minds in research, engineering, product development, and operations to join us in pushing the boundaries of audio AI.
About Our Engineering Team
At David AI, our engineers are responsible for constructing the pipelines, platforms, and models that convert raw audio into valuable data insights for leading AI labs and enterprises. We pride ourselves on our tight-knit team of product engineers, infrastructure specialists, and machine learning professionals dedicated to building the world's first audio data research company.
We thrive in a fast-paced environment, taking ownership of our work and deploying solutions to production on a daily basis. Our team designs real-time pipelines capable of processing terabytes of audio data and implements state-of-the-art generative audio models.
Role Overview
As a Senior Software Engineer, Platform at David AI, you will collaborate across various product surfaces to architect clean APIs, develop scalable services, and ensure our systems maintain optimal performance while handling petabytes of audio data.
Key Responsibilities
Design, build, and maintain production-grade backend services that drive functionality from data collection to customer-facing insights.
Take ownership of the architecture and performance of distributed systems that process, transform, and serve audio data at scale.
Define and refine internal APIs and service boundaries to accommodate an expanding array of machine learning and product features.
Develop resilient, observable, and easily debuggable systems with strong performance characteristics.

