ML Engineer (Research Scientist - Cryosphere)

Arctic Research and Development (ARD) builds autonomous systems and an intelligence layer for understanding and operating in the Arctic. The Senior ML Engineer / Research Scientist will own the Analyse-and-ML workstream, developing trustworthy machine learning pipelines that integrate physics with remotely sensed imagery and shipping production-ready models into the platform.

Responsibilities:

• Distil reference physics into fast operators - build emulators / surrogates that run orders of magnitude faster than our reference physics models
• Own the forward-to-inverse bridge - Build the ML that inverts real hyperspectral and multispectral imagery into physical quantities (albedo, melt state, impurity loading), with the physics as the constraint, not an afterthought
• Make trust a property of the model, not a report - bake in uncertainty quantification, provenance, and validation against cold-lab and field measurements. Outputs must be defensible pixel-to-decision
• Set the technical bar for physics ⇄ ML across the science team, and help shape and mentor the hires that follow you
• Ship into the platform - work with the Science Lead and Head of Software so your models land in production — not just in papers