David AI Labs, Inc.
About our Engineering team
At David AI, our engineers build the pipelines, platforms, and models that transform raw audio into high-signal data for leading AI labs and enterprises. We're a tight-knit team of product engineers, infrastructure specialists, and machine learning experts focused on building the world’s first audio data research company.
Be one of the first applicants, read the complete overview of the role below, then send your application for consideration. We move fast, own our work end-to-end, and ship to production daily. Our team designs real-time pipelines handling terabytes of speech data and deploys cutting-edge generative audio models. About this role
As a
Staff Product Engineer
at David AI, you’ll lead our Product Engineering team in building cutting-edge products that help our customers 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. In this role, you will
Lead full-stack feature development
and iterate rapidly to deliver innovations to our users daily. Build scalable systems
processing terabytes of audio data and deriving actionable insights. Deploy and evaluate LLM- and DSP-based solutions
to enhance customer data understanding. Drive research iteration and interface deployment
for data collection with researchers and Operations. Mentor engineers and establish technical standards
as the team scales. Stay current with cutting-edge frameworks
across software engineering, data engineering, ML, and signal processing. Your background looks like
6+ years of product-focused full-stack engineering experience. Strong web development fundamentals with experience building rapid prototypes and scalable user solutions. Proven track record delivering engineering solutions that provide customer value. Experience in fast-paced environments with detail-oriented execution. Focus on building intuitive, highly polished production-grade user experiences. Track record of success in technical leadership or engineering management. AI/ML or audio experience is not required but willingness to learn is essential. 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.
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At David AI, our engineers build the pipelines, platforms, and models that transform raw audio into high-signal data for leading AI labs and enterprises. We're a tight-knit team of product engineers, infrastructure specialists, and machine learning experts focused on building the world’s first audio data research company.
Be one of the first applicants, read the complete overview of the role below, then send your application for consideration. We move fast, own our work end-to-end, and ship to production daily. Our team designs real-time pipelines handling terabytes of speech data and deploys cutting-edge generative audio models. About this role
As a
Staff Product Engineer
at David AI, you’ll lead our Product Engineering team in building cutting-edge products that help our customers 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. In this role, you will
Lead full-stack feature development
and iterate rapidly to deliver innovations to our users daily. Build scalable systems
processing terabytes of audio data and deriving actionable insights. Deploy and evaluate LLM- and DSP-based solutions
to enhance customer data understanding. Drive research iteration and interface deployment
for data collection with researchers and Operations. Mentor engineers and establish technical standards
as the team scales. Stay current with cutting-edge frameworks
across software engineering, data engineering, ML, and signal processing. Your background looks like
6+ years of product-focused full-stack engineering experience. Strong web development fundamentals with experience building rapid prototypes and scalable user solutions. Proven track record delivering engineering solutions that provide customer value. Experience in fast-paced environments with detail-oriented execution. Focus on building intuitive, highly polished production-grade user experiences. Track record of success in technical leadership or engineering management. AI/ML or audio experience is not required but willingness to learn is essential. 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.
#J-18808-Ljbffr