Jobs at David AI

Build algorithms, metrics, scalable pipelines, and production inference systems that analyze, filter, deduplicate, and curate large-scale speech and audio datasets. Translate research into production software, evaluate model and dataset quality, architect resilient ML systems, and collaborate with operations and cross-functional teams to improve customer-facing data products.

Partner with customers on audio AI initiatives from ideation through launch. Build consultative relationships, translate customer objectives into actionable strategies with research and engineering teams, identify account opportunities, and execute strategic account plans that align stakeholders, advance complex opportunities, and drive long-term customer success.

Partner with the CEO to drive the company’s highest-priority initiatives from strategy through execution. The Chief of Staff will lead cross-functional projects, support company planning and operating rhythms, analyze business challenges, prepare board and fundraising materials, assist with executive hiring, and temporarily own initiatives until a long-term owner is established.

Owns quality operations for all datasets, establishing global quality standards, calibration, review structures, language coverage, capacity planning, and contingent workforce sourcing. The role also manages dashboards tracking quality, throughput, and cost efficiency across international data operations. Candidates should have extensive operations leadership experience, quality management expertise at scale, and experience building tooling and workforce systems. Speech, audio, or linguistic data experience is preferred.

Coordinates recruiting activities across recruiters and hiring stakeholders, supporting the full hiring lifecycle at a fast-growing AI company. The role reports to the Recruiting Operations Manager and offers an entry point into recruiting. The company is also considering applicants for People Partners, Technical Sourcers, Recruiters, and Recruiting Coordinators based on their broader People or Talent experience.

Coordinate recruiting across multiple roles by scheduling interviews, tracking timelines and SLAs, maintaining Ashby applicant records, communicating with candidates and stakeholders, and improving recruiting processes. The role supports candidate experience, recruiting operations projects, sourcing efforts, and day-to-day collaboration in a fast-paced, fully onsite environment.

Lead design, build, and scale end-to-end audio data pipelines from prototype to production. Collaborate with researchers, engineers, and cross-functional teams to ensure high throughput, quality, and cost-efficiency, monitor pipeline health, and drive improvements using metrics.

Own strategy and roadmap for a core part of the Data Factory, from prototypes to production. Lead and automate complex operational workflows, build MVPs (scripts, queries, dashboards), partner with Operations, Engineering, and Research, translate model capabilities into requirements, use data to measure throughput/quality/cost, and take full-stack accountability for product, operations, and customer outcomes.

Build polished, performant frontend interfaces for audio-data products. Ship production-grade UI features, surface LLM/DSP-driven insights, iterate with researchers and operations, and scale interfaces for thousands of users.

Design and build scalable backend systems, APIs, and data processing pipelines for terabytes of audio. Deploy and evaluate LLM and DSP-based solutions, iterate with researchers, and maintain production-grade infrastructure supporting data collection and user-facing features.

Own end-to-end sourcing strategy for technical, product, and business roles. Build boolean search strings, talent maps, and market research. Run outbound outreach campaigns, maintain pipelines in Ashby, track sourcing metrics, and partner with hiring managers and recruiters to convert passive candidates into qualified pipelines.

Lead full-stack feature development, build scalable systems processing terabytes of audio, deploy and evaluate LLM/DSP solutions, drive research iteration for data collection, mentor engineers, and establish technical standards while shipping production-grade user experiences.

Build and ship full-stack features and scalable data-processing pipelines for terabytes of audio; deploy and evaluate LLM/DSP solutions; iterate quickly with researchers and operations to collect and surface high-quality audio dataset insights.

The Senior Backend Engineer will design and maintain backend services, build scalable APIs, and optimize systems handling large audio data sets.

As a Senior Machine Learning Research Engineer, you will research and implement advanced audio ML models, develop inference algorithms, and collaborate with the Operations team to enhance model quality.