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David AI

Product Engineer

David AI, San Francisco

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This range is provided by David AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$140,000.00/yr - $220,000.00/yr

Role And Responsibilities
As a Product Engineer at David AI, you'll build cutting-edge tools that help our users make sense of the audio data they'll use to train their models, working closely with researchers to consistently iterate on how to best collect our data. You will:

  • Ship full-stack features that thousands of users will interact with daily.
  • Build scalable systems to create core data processing pipelines that derive actionable insights from terabytes of audio data every day.
  • Build, deploy, and evaluate LLM and DSP based solutions to increase our customers’ understanding of nuanced features across our datasets.
  • Iterate rapidly on our research hypotheses by working closely with researchers and our Operations team to deploy interfaces to collect new data.
  • Stay up-to-date with cutting edge technologies and frameworks to apply to our current product offering across software engineering, data engineering, machine learning, and signal processing.
Who We’re Looking For
  • 2+ years of product-focused full-stack engineering experience.
  • Strong full-stack web development fundamentals with experience in creating rapid prototypes, as well as building solutions that scaled to many users.
  • A proven track record of delivering engineering solutions that contributed value to customers.
  • Experience working in a high-pace environment that constant progress was enabled by detail-oriented execution.
  • Emphasis on building intuitive products and experiences that resonates with users and has built highly polished production-grade products.
  • AI/ML or audio experience is not required but should be excited to learn.
Bonus points if you have
  • Educational or professional experience with digital signal processing and a deep understanding of speech.
  • Experience building and deploying ML models in a production environment.
  • Led (managed or tech-led) engineering teams in high-growth environments.
Some technologies we work with
  • Next.js, TypeScript, TailwindCSS, Node.js, tRPC, PostgreSQL, AWS, Trigger.dev, WebRTC, FFmpeg.
Compensation And Benefits
  • Rapid career growth, at one of the fastest growing Series A companies, within a new and booming industry.
  • Competitive salary and equity package.
  • Flexible PTO policy.
  • Top-notch health, dental, and vision coverage with 100% company reimbursement for most plans.
  • Paid lunch and dinner in the office, every day through DoorDash.
  • 401k access.

Seniority level

  • Seniority level

    Not Applicable

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Engineering and Information Technology
  • Industries

    Software Development

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