Jobs at David AI
Data for audio AI
About David AI
Data for audio AI
[ Open roles ]
- Head of Quality Assurance OperationsRemote
- General Manager, Data OperationsNot specified
The General Manager of Data Operations will lead a critical function at David AI, owning a significant part of the Data Factory responsible for producing high-quality, scalable data. This role involves leading a team that builds and scales data pipelines, from initial experiments to industrialization and large-scale production systems.
- Deployment StrategistNot specified
- Product Engineer, BackendNot specified
Backend Engineer at David AI, an audio data research company. This role involves building scalable backend systems and core data processing pipelines to derive insights from audio data, working closely with researchers to iterate on data collection methods.
- General Manager, MarketplaceNot specified
- Data Product Operations LeadNot specified
As a Data Product Operations Lead at David AI, you will be responsible for designing and scaling data pipelines that transform raw audio into high-quality training datasets for AI labs. You will manage data products from initial prototyping through large-scale production, building and validating workflows with researchers.
- Technical Product ManagerNot specified
David AI is hiring a Technical Product Manager to own a core part of their Data Factory, from early prototypes through production scale. This role involves setting strategy for audio data quality, deciding on product development, and owning outcomes like scale, quality, and cost. The Technical Product Manager will work across Operations, Engineering, and Research, potentially focusing on contributor marketplaces, operations infrastructure, business units, or ML team systems.
- Research ScientistNot specified
Research Scientist at David AI will build cutting-edge speech and audio models, production inference systems, and resilient pipelines. Responsibilities include researching, designing, and implementing solutions using advanced signal processing and ML models for speech and audio, and developing production-grade inference algorithms, pipelines, and APIs.
- Product Engineer, Full StackNot specified
Product Engineer, Full Stack at David AI. This role involves building cutting-edge tools for users to analyze audio data and iterating on data collection methods in collaboration with researchers. The engineer will ship full-stack features used by thousands of users daily.
- Chief of Staff to the CeoNot specified
- Staff Software Engineer, PlatformNot specified
Staff Software Engineer, Platform at David AI will design clean APIs, build scalable services, and maintain performant systems for handling petabytes of audio data. This role involves building production-grade backend services that support data collection and customer-facing insights.
- Research EngineerNot specified
- Senior Technical SourcerNot specified
Senior Technical Sourcer at David AI responsible for top-of-funnel talent generation. This role involves building sourcing strategies and pipelines for engineering, product, and business/operations roles, and engaging passive candidates.
- Talent Acquisition & People OperationsNot specified
This role is a Talent Acquisition & People Operations position at David AI, a fast-growing audio data research company. The individual will focus on recruiting coordination, collaborating with recruiters and hiring managers across the full hiring lifecycle. This role is suitable for someone looking to build a career in recruiting and will report to the Recruiting Operations Manager.
- Product Engineer, FrontendNot specified
Product Engineer, Frontend at David AI. This role involves building intuitive user interfaces for users to interact with audio data for model training. The engineer will work closely with researchers to iterate on data collection methods.
- Staff Product Engineer, Full StackNot specified
Staff Full Stack Engineer at David AI, an audio data research company. This role involves leading full-stack feature development and iterating rapidly to deliver innovations to customers, working closely with researchers to improve data collection methods.