Applied Research Engineer

Higharc

. Build the component layer around the layout synthesis engine, including a documented API contract, callable service, and evaluation gate .

Posted 9/29/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying machine learning models, with a strong focus on API development, evaluation frameworks, and spatial AI applications. Proven ability to mentor teams and communicate effectively in a remote work environment.

Highest-signal resume keywords

Python ProgrammingPyTorch FrameworkMachine Learning Model TrainingAPI Development with FastAPIGeometric Data Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentModel EvaluationData PreparationUser-Facing IntegrationBenchmarkingLatency ManagementCost ManagementEvaluation Harness DevelopmentGenerative Layout ModelsExperiment Tracking

Soft Skills

MentoringCommunicationTeam Collaboration

Tools & Technologies

TensorFlowKerasAWSOR-Tools CP-SATRhinoGrasshopperRevitHugging FaceModal

Certifications & Qualifications

Master's Degree in Computer ScienceMaster's Degree in Machine Learning

Industry Keywords

Spatial AIHome DesignConstructionCADBIM2D/3D GeometryArchitectureOpen-Source ContributionsPublications

Tech Stack

Tools & technologies

AWSKerasPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Build the component layer around the layout synthesis engine, including a documented API contract, callable service, and evaluation gate
Turn model retraining into a one-command job with built-in benchmarks and readable team results
Own latency and cost budgets for learned capabilities
Extend core research into capabilities such as multi-story plans and real-time editing
Partner with infrastructure engineers on MLOps and deployment
Mentor researchers and interns on engineering practices
Communicate work through weekly status updates, clear pull requests, and design notes
Ship spatial AI research capabilities into Higharc's home-design and construction product
Improve the existing engine, schema, and evaluation frameworks for speed, reproducibility, and extensibility

Requirements

What you’ll need

5+ years of professional software development experience, including at least 2 years training and shipping ML models to real users
End-to-end experience with data preparation, training, evaluation, serving, and user-facing integration of at least one model
Fluency in Python and PyTorch; TensorFlow or Keras acceptable with readiness to move to PyTorch
Experience with geometric or structured data, such as floor plans, CAD, BIM, graphs, or 2D/3D geometry
Experience building or maintaining an evaluation harness or benchmark and using it to gate changes
Experience packaging a model behind an API, such as FastAPI, and owning latency and cost
Master's degree in computer science, machine learning, or a related field, or equivalent shipped work
Comfort working remotely with a team on US Eastern hours
Architecture or building background is a plus
Experience with OR-Tools CP-SAT, optimization, generative layout/floor-plan models, Rhino, Grasshopper, Revit, Hugging Face, experiment tracking, AWS, Modal, publications, or open-source contributions is a plus

Benefits

Comp & perks

Significant equity
Comprehensive medical, dental, and vision coverage for U.S.-based full-time employees
Flexible PTO
Meaningful maternity/paternity leave for U.S.-based full-time employees
Short- and long-term disability plans
401(k)
Home office setup stipend
Ongoing learning and development support
Entirely remote work
Regular team meet-ups in hubs across the US