Data Scientist / Full-Stack Engineer

Data Scientist / Full-Stack Engineer (Audio Content Recognition)

Location: Remote (US preferred)
Employment Type: Contract or Full-time

About Us

We’re building Azimuth — the data backbone of live music. Our platform ingests and analyzes massive real-time audio and market data from thousands of venues to power fairer bookings, smarter routing, and new revenue models for the live entertainment ecosystem.

The Role

We’re looking for a hybrid Data Scientist / Full-Stack Engineer who can dive into raw audio, build content recognition models, and ship production-ready code. You should be equally comfortable writing statistical models, hacking low-level algorithms, and spinning up APIs or dashboards to visualize the output. This is a hands-on, high-impact role where you’ll help us push the limits of live audio detection and performance analytics.

What You’ll Do

Research and develop algorithms for audio content recognition (ACR) — fingerprinting, matching, streaming analysis, and low-latency detection.

Build and optimize large-scale data pipelines that ingest live venue audio and metadata.

Develop, deploy, and maintain full-stack applications (Python, Node.js, or similar) to surface insights internally and externally.

Work with our embedded-device engineers on edge-capture systems and streaming protocols.

Rapidly prototype, test, and iterate — we value speed and accuracy equally.

What We’re Looking For

Strong background in signal processing, machine learning, or related areas.

Proven ability to code across the stack (Python + SQL required; bonus for C/C++, Rust, or real-time systems).

Experience with cloud infrastructure (AWS, GCP, or similar) and modern data stacks.

A hacker mindset: you like solving hard problems with elegant, minimal solutions.

Self-starter who thrives in ambiguous, high-velocity environments.

Nice to Have

Familiarity with ACR vendors (ACRCloud, Gracenote, Shazam, etc.) or building your own.

Experience integrating APIs, DSP libraries, or hardware-level audio capture.

Exposure to Supabase, Firebase, or GitHub Actions for CI/CD.

Why Azimuth

You’ll be on the ground floor of a company re-architecting how live music is booked, measured, and monetized. Our culture rewards initiative, creativity, and technical excellence — no red tape, just big challenges and room to run.

If you’re the kind of engineer who can “write algorithms and hack like a motherf*er”** while still shipping stable, well-documented systems, we want to talk.

Apply: Send your résumé, GitHub/portfolio, and a brief note about the toughest technical problem you’ve solved to [email address].