Member of Technical Staff, MLE
AIC, Brooklyn HQ +1
What you will do
- Embed on-site with design partners and manufacturers for meaningful stretches of the year — their floor is your second office.
- Build trust across the full vertical, from the GM to the technician running the station. Software and hardware deployed without this trust doesn't get adopted.
- Develop genuine understanding of how each partner's shop works and why — the history, constraints, people, and physics of what moves through it.
- Build models on factory data. You'll be extracting reliable signal from sparse, messy data, and need to know when regression beats a neural net. You'll ship ML that touches hardware: vision for inspection, part identification, document capture and parsing, models over sensor and machine data, and systems that run on the floor.
- Quantify the connection between operational areas for improvement and EBITDA: which changes on the floor move throughput, quality, margin, business development, and by how much.
- Translate unstructured observation into concrete requirements, then build, ship, and maintain the software yourself and through the other technical staff you coordinate on-site and at HQ.