Summary
What you’ll impact
The founding Machine Learning Engineer will own the end‑to‑end video data pipeline that transforms raw multi‑camera footage into validated training datasets for frontier robotics models. This remote role involves building and shipping production‑grade vision‑language and computer‑vision systems for top AI companies.
Responsibilities
What you'll do
- → Turn petabytes of multi-camera video (RGB-D, IMU, depth) into validated training episodes
- → Benchmark, fine-tune and distill vision-language models used to judge data quality at scale
- → Build QC/QA pipelines that trim, cut and quarantine anything out of spec
- → Own annotation pipelines run against demanding customer taxonomies
- → Ship into live production for several of the world's top AI companies
Requirements
What you’ll bring
- → 3+ years of applied ML in computer vision or robotics, from a top engineering school
- → Production experience running VLMs as judges, and training/deploying CV or robotics models
- → Deep knowledge of the video stack: codecs, multi-view geometry, calibration, temporal alignment
- → An active GitHub/Hugging Face profile and a track record of exceptional individual achievement