David AI is looking to solve the bottleneck of high-quality training data for advancing audio AI by building the world's first audio data research company.
Requirements
- 3+ years backend development building scalable APIs and services.
- Proficient with RESTful APIs, service interfaces, and database design (PostgreSQL, MySQL).
- Strong understanding of distributed systems and service-oriented architecture.
- Extensive cloud infrastructure and infrastructure-as-code experience.
- Proficient in profiling, debugging, and optimizing backend systems.
- Familiarity with event-driven architectures, async processing, or large-scale data pipelines.
- Built scalable data pipelines that have facilitated large-scale event-driven workflows across large volumes of audio or video data.
Responsibilities
- Design, build, and maintain production-grade backend services that power everything from data collection to customer-facing insights.
- Own the architecture and performance of distributed systems that ingest, transform, and serve audio data at scale.
- Define and evolve internal APIs and service boundaries to support a growing set of ML and product features.
- Build resilient, observable, and easy-to-debug systems with strong performance characteristics.
- Collaborate with product, operations, and ML teams to rapidly iterate on new ideas and ship fast.
Other
- Collaborate with product, operations, and ML teams to rapidly iterate on new ideas and ship fast.
- Experience launching systems from ground up in high-growth environments (preferred).
- Familiarity with CI/CD pipelines and DevOps best practices.
- Deployed ML models for inference in a production environment.
- Competitive salary and equity package.
