Machine Learning Engineer

Our team builds AI that understands homes, and our generative floor plan engine has moved from proof of concept to a core workflow in Higharc's product. You'll own the applied side of that work. The research team hands you a defined problem and a metric. You train and adapt the models, build the pipelines around them, and ship a component that meets the product's latency and cost budget.

You'll work inside an architecture that already exists. The engine, the schema, and the evaluation frameworks are in place, and your job is to make them faster, reproducible, and easy for others to build on.

Expect to

• Build the component layer around our layout synthesis engine: a documented API contract, a service the product can call, and an evaluation gate that runs on every change.
• Turn model retraining into a one-command job, with benchmarks built in and results the whole team can read.
• Own the latency and cost budgets for learned capabilities.
• Extend core research into new capabilities, such as multi-story plans and real-time editing.