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David AI

Frontend Software Engineer

San Francisco$165k–$225kfulltimemidAdded today

About this role

David AI, a Series B audio data research company, is hiring a Frontend Engineer to build intuitive interfaces that help users analyze and understand audio datasets for AI model training. You'll ship polished UI features for thousands of users while collaborating with researchers and working with terabytes of speech data.

What you'll do

  • Build and ship polished UI features for audio data analysis and visualization used by thousands of daily users
  • Create performant, responsive interfaces on top of data processing pipelines that handle terabytes of audio
  • Design interfaces that surface LLM and DSP-based solutions to surface dataset insights
  • Rapidly iterate on research hypotheses by deploying data collection interfaces with researchers and operations
  • Stay current with cutting-edge frontend technologies and frameworks to improve the product

What they're looking for

  • Frontend engineering fundamentals (2+ years experience)
  • Next.js and TypeScript
  • Rapid prototyping and production-grade UI development
  • Responsive design and user experience optimization
  • TailwindCSS and design systems
  • Node.js backend integration (tRPC, PostgreSQL)
  • Digital signal processing or speech domain knowledge (bonus)

Benefits

  • Unlimited PTO
  • 100% coverage for most health, dental, and vision plans
  • FSA & HSA access
  • 401k access
  • Meals provided 2x daily via DoorDash plus office snacks
  • Unlimited company-sponsored Barry's fitness classes
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David AI

David AI builds audio data research platforms that help customers process and understand massive volumes of audio data for AI model training. The company is hiring software engineers across backend, full-stack, security, and product engineering roles to develop scalable infrastructure, distributed systems, and user-facing tools.

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Likely interview questions

  • Walk us through a time you shipped a polished UI feature at scale—how did you ensure performance and usability with high user volume?
  • Tell us about your experience building interfaces for data-heavy or ML-powered products. What challenges did you face?
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