Frontend Engineer — Audio AI UI for Data Insights

David AI; San Francisco (CA); On-site; USD 165,000 - 225,000; Full time

Benefits offered by this job

Unlimited PTO

Top-notch health, dental, and vision —

FSA & HSA access

401k access

Meals 2x daily through DoorDash

Barry's classes

Job summary

David AI is hiring a Frontend Engineer in San Francisco to build intuitive interfaces for large-scale audio data platforms. You will work with researchers to iterate on data collection and model training interfaces, shipping features used by thousands of users daily.

The role emphasizes fast delivery, end-to-end ownership, and collaboration across research, engineering, and operations to push the frontier of audio AI.

Qualifications

• 2+ years of frontend engineering experience.
• Strong frontend fundamentals with ability to create rapid prototypes.
• Track record of delivering engineering solutions that add value to customers.
• Experience in a high-pace environment with detail-oriented execution.
• Ability to ship polished, production-grade interfaces.
• AI/ML or audio experience not required but you should be excited to learn.

Responsibilities

• Ship polished, intuitive UI features that thousands of users will interact with daily.
• Build performant, responsive interfaces on top of data processing pipelines that derive insights from terabytes of audio data.
• Design interfaces that surface LLM and DSP based solutions for customers.
• Iterate rapidly with researchers and Operations to deploy interfaces to collect new data.
• Stay up-to-date with cutting edge frontend technologies and frameworks.

Skills

Frontend engineering

Prototype development

UI development

Performance optimization

Cross-functional collaboration

Tools

Next.js

TypeScript

TailwindCSS

Node.js

tRPC

PostgreSQL

AWS

Job description

David AI is hiring a Frontend Engineer in San Francisco to build intuitive interfaces for large-scale audio data platforms. You will work with researchers to iterate on data collection and model training interfaces, shipping features used by thousands of users daily.

The role emphasizes fast delivery, end-to-end ownership, and collaboration across research, engineering, and operations to push the frontier of audio AI.