Remote ML Engineer for Generative Home Design

Higharc; San Francisco (CA); Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Equity

Remote-friendly

Medical, dental, vision

Flexible PTO

Maternity/Paternity leave

Home office stipend

Job summary

Higharc is seeking a hands-on Machine Learning Engineer to build and ship ML models that understand homes. You will own problems end to end with the research lead, training and evaluating models, serving them, and measuring performance in the product at acceptable latency and cost budgets.

You’ll join an architecture with pre-existing pipelines and APIs, making them faster and easier to extend. Expect to own benchmarking, retraining automation, and collaboration with MLOps and infrastructure

Qualifications

• Five or more years of professional software development, with at least two years shipping machine learning models to real users.
• 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.
• Master's degree in computer science, machine learning or a related field, or equivalent shipped work.

Responsibilities

• 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.
• Partner with infrastructure engineers on MLOps and deployment, and mentor researchers and interns on engineering practices.
• Share your work in writing through weekly status updates, clear pull requests, and design notes before big changes.

Skills

Python

PyTorch

TensorFlow

Keras

End-to-end ML

Model serving

API (FastAPI)

Evaluation harness

Geometric data

Education

Master's degree in CS/ML or related field

Tools

FastAPI

Rhino

Grasshopper

Revit

Hugging Face

AWS

Modal

Job description

Higharc is seeking a hands-on Machine Learning Engineer to build and ship ML models that understand homes. You will own problems end to end with the research lead, training and evaluating models, serving them, and measuring performance in the product at acceptable latency and cost budgets.

You’ll join an architecture with pre-existing pipelines and APIs, making them faster and easier to extend. Expect to own benchmarking, retraining automation, and collaboration with MLOps and infrastructure