Forward Deployed Engineer Jobs in Singapore

An FDE seat at a formal-reasoning / physics-AI research shop is a genuine rarity — most deep-tech labs never build a customer-facing deployment role at all. Three-continent footprint (Boston, Toronto, Singapore) and a research-adjacent mandate make this the closest thing on the board to 'FDE, but you also have to understand the science.'

A 'Founding' Forward Deployed ML Engineer at a young lab hiring across SF, Singapore, and India at once — founding scope on the customer-facing edge, where you 'operate at the bleeding edge of our technology and our customers' most consequential problems simultaneously.'

Six FDE seats across four regions at the observability layer every agent deployment eventually hits — evals is the most durable skill in the FDE toolkit, and Arize does it all day. $125K–$175K in the US, $155K–$225K in EMEA; the geographic spread is the tell that this is a real GTM motion, not a support function.

Sr. Staff FDE on Databricks' deployment team in Singapore (comp not disclosed for this geo). Part of the largest forward-deployed engineering org outside Palantir — Databricks now runs FDE across dozens of geos and verticals simultaneously.

Senior FDE on Databricks' deployment team in Singapore (comp not disclosed for this geo). Part of the largest forward-deployed engineering org outside Palantir — Databricks now runs FDE across dozens of geos and verticals simultaneously.