Fullstack Engineer

Los Angeles +2 · On-site$180k – $250k + EquityVisa Sponsorship Available

About this role

We are looking for a Product Engineer with 2+ years of experience to lead the development of our cutting-edge audio data products. You will be a key player in helping our customers make sense of the audio data they use to train their models. We need a product-focused, backend-leaning engineer with strong communication skills who thrives in a fast-paced, research-oriented startup environment. You will work closely with our ML research team to iterate on how we collect and process data at an unprecedented scale.

What will you be doing?

Lead full-stack feature development, with a 60-70% focus on the backend, to deliver daily innovations to users.

Build and scale systems that process terabytes of audio data, deriving actionable insights for our customers.

Collaborate closely with our ML research team to constantly improve how we collect and utilize data for training models.

Deploy and evaluate LLM- and DSP-based solutions to enhance customer data understanding.

Mentor other engineers and establish technical standards as our team grows.

Company at a glance

David AI is an audio data research company founded in 2024 by former Scale AI engineers that provides critical infrastructure for AI development, serving most FAANG companies and leading AI labs with over $50M in Series B funding.

Founded2024
Team Size11-50
WorkspaceOn-site
StageSeries B
IndustryAI/ML
Locations
Los Angeles, CA, United States ·New York City, NY, United States ·San Francisco, CA, United States
Investors
Alt Capital ·Amplify Partners ·First Round Capital ·Meritech Capital Partners ·NVIDIA ·Y Combinator
LinkedInLinkedIn

What happens next

Skip the application pile. I get you in front of the people who decide.

Confirm the fit

A few questions to make sure this role is the right shape for you. Two minutes.

I pitch you to the company

I write the intro, send it to the founder, and handle the back-and-forth.

A meeting lands on your calendar

When the company wants to meet, I get the call on your calendar. You just show up.

Culture & values

Team is sharp, humble, ambitious, and tight-knit

Lean team that met while working at Scale AI

Obsess over execution

Bring an R&D approach to work with same rigor as AI labs

Looking for the best research, engineering, product, and operations minds

Know someone who'd be great for this?