Jobs at David AI

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.

Lead the engineering team at David AI, overseeing product, infrastructure, and AI systems while driving the development of audio data tools and scalable processing pipelines.

As a Product Engineer, you'll develop scalable full-stack features, build data processing pipelines, and collaborate with researchers to enhance audio data insights.

As a Data Product Operations Lead, you'll design and scale audio data pipelines, ensuring high-quality dataset production while collaborating with researchers and cross-functional teams.

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

Lead the Product Engineering team in developing scalable systems and innovative products for audio data training. Responsibilities include full-stack development, deploying solutions, mentoring engineers, and maintaining technical standards.

As a Deployment Strategist, you will partner with customers to shape audio AI strategies, leading projects from ideation to execution while fostering strong relationships. You'll work with technical teams to ensure high-quality outcomes and identify opportunities for implementation.

The Head of Deployment Strategy will lead the Forward Deployed team, oversee customer engagement, manage relationships, and ensure strategic planning and execution for growth.

The Executive Assistant will support the CEO by managing communications, calendars, travel, and day-to-day office operations, while also assisting with cross-functional projects.

Own end-to-end interview scheduling, maintain Ashby ATS, draft candidate communications, support offer logistics and background checks, build recruiting systems/templates, partner with recruiters and hiring managers, and drive recruiting operations and reporting improvements.

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.

Build and maintain production backend services and APIs to ingest, transform, and serve petabytes of audio. Own architecture, performance, observability, and debugging for distributed systems. Define internal service boundaries and collaborate with product, operations, and ML teams to iterate and ship research-driven audio features.