Machine Learning Engineer – Video & Audio Systems
We are a fast-growing start-up building the next generation of copyright protection for live and recorded video content. Our platform helps content creators and sports organizations detect, remove, and manage copyrighted music and media in real time.
We’re looking for a Machine Learning Engineer to scale our computer vision and audio analysis systems. You’ll work on:
- Object detection, semantic segmentation, and inpainting for sports and live video
- Audio analysis including stem separation, sound event detection, and semantic fingerprinting
- Optimizing ML infrastructure for livestream inference and rapid production iteration
Requirements:
- Experience shipping ML systems end-to-end (CV or audio-focused)
- Strong Python skills and cloud experience (AWS/GCP/Modal)
- Start-up experience and ability to own projects end-to-end
- Ability to turn messy real-world data into production-ready systems
Nice to have:
- Experience with streaming formats (HLS, DASH, RTMP) and transcoding pipelines
- Inference servers and model optimization (Triton, Ray)
- SQL / Postgres
Join a team where your work directly impacts real-world content, helping organizations deliver safe, monetizable media at scale.