At a glance
Build full-stack products, terabyte-scale audio data pipelines, and deployed LLM/DSP solutions that help customers understand datasets used to train AI models.
Summarized by AI from the original posting
What you'll do
- Ship full-stack features used by thousands of users
- Build scalable data processing pipelines for terabytes of audio data
- Build, deploy, and evaluate LLM- and DSP-based solutions
- Iterate on research hypotheses with researchers and Operations
- Apply software engineering, data engineering, machine learning, and signal processing technologies
Requirements
- 01Strong full-stack web development fundamentals
- 02Proven track record of delivering engineering solutions
- 03Experience in a high-pace environment
- 04Experience building intuitive, polished production-grade products
- 05AI/ML or audio experience not required
- 06Bonus: digital signal processing and speech expertise
- 07Bonus: production ML model deployment
- 08Bonus: led engineering teams
Perks
Skills
Full description
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.
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 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.
In this role, 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.
Your background looks like
- 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 you 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.
About David AI
David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in.
David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we’ve brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors.
Our team is sharp, humble, ambitious, and tight-knit. We’re looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI.
Compensation: $120K - $200K
Skills: Node.js, React, TypeScript, SQL, Next.js
Experience: 1+ years