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About the Role

Build cutting-edge tools for users to interpret audio data for model training, collaborating with researchers on data collection methods.

Responsibilities

• Ship daily full-stack features for thousands of users.
• Build scalable systems for core data processing pipelines, deriving insights from terabytes of audio data.
• Build, deploy, and evaluate LLM and DSP solutions to enhance customer understanding of dataset features.
• Rapidly iterate on research hypotheses, collaborating with researchers and Operations to deploy new data collection interfaces.
• Stay current with cutting-edge technologies and frameworks in software engineering, data engineering, machine learning, and signal processing.

Requirements

• 2+ years of full-stack engineering experience.
• Strong full-stack web development fundamentals, including rapid prototyping and scalable solutions.
• Proven track record of delivering customer-valuable engineering solutions.
• Experience in a fast-paced environment with detail-oriented execution.
• Emphasis on building intuitive, highly polished, production-grade products.
• Excitement to learn AI/ML or audio, though not required.

Skills

• Next.js
• TypeScript
• TailwindCSS
• Node.js
• tRPC
• PostgreSQL
• AWS
• Trigger.dev
• WebRTC
• FFmpeg

Experience Level

• 2+ years of full-stack engineering experience

Benefits

• Unlimited PTO.
• Comprehensive health, dental, and vision coverage (100% for most plans).
• FSA & HSA access.
• 401k access.
• Daily meals via DoorDash, plus office snacks and beverages.
• Unlimited company-sponsored Barry’s classes.

About the Company

• David AI is the first audio data research company, applying an R&D approach to dataset development.
• Mission: Bring AI into the real world via audio, addressing the bottleneck of high-quality training data for advanced audio AI.
• Founded in 2024 by former Scale AI engineers and operators.
• Serves FAANG companies and AI labs as customers.
• Recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital, and other Tier 1 investors.
• The team is sharp, humble, ambitious, and tight-knit, seeking top research, engineering, product, and operations talent.
• Engineering team builds pipelines, platforms, and models to transform raw audio into high-signal data for AI labs and enterprises.
• Engineering team comprises product engineers, infrastructure specialists, and machine learning experts.
• Engineers move fast, own work end-to-end, ship daily, design real-time pipelines for terabytes of speech data, and deploy generative audio models.