Higharc’s homebuilding AI helps builders design homes, configure market-proven plans and create shoppable 3D visuals, estimates and permit-ready documents. Backed by Insight and Lux.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Five or more years of professional software development, at least two of them training and shipping machine learning models to real users rather than in notebooks
- Has carried at least one model end to end, from data preparation through training, evaluation, serving and the integration that put it in front of users
- Fluent in Python, PyTorch preferred, TensorFlow or Keras acceptable with a commitment to move
- Has worked with geometric or structured data such as floor plans, CAD or BIM, graphs, or 2D and 3D geometry
- Has built or maintained an evaluation harness or benchmark and used it to gate changes. Has packaged a model behind an API (FastAPI or similar) and been accountable for its latency and cost
- Comfortable working remotely with a team on US Eastern hours
More about this role
Higharc is a VC-backed startup that is changing how new homes are designed and built. Join a founding team who’ve shipped products for Autodesk, Electronic Arts, Nike, and Apple. We have raised over $175M with support from top-notch venture capital firms and more than 18 strategic investors: industry leaders in construction, building products manufacturing, and distribution.
Higharc is seeking a hands-on Machine Learning Engineer to build and ship Machine Learning models that understand homes, from a question about plans and buildings to a model running in the product. You will own problems end to end with the research lead, framing the task, choosing the representation, training and evaluating the model, serving it, and measuring it in the product at the latency and cost the product can afford.
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...
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