Machine Learning Engineer (Floorplan-to-3D Automation)

Formify; Olinda; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading company in digital manufacturing seeks an AI/ML Engineer to develop systems for converting floorplan images into 3D geometry. This role involves working on cutting-edge technology to streamline design and production processes. Ideal candidates will have strong experience with deep learning and computer vision, contributing to innovations in the interiors industry.

Serviços

Competitive compensation

Opportunity to pioneer AI applications in manufacturing

Qualificações

• Mid-level with 3-6 years of experience in ML projects.
• Strong experience with deep learning frameworks and vision models.
• Ability to lead projects and mentor teams.

Responsabilidades

• Design and train models to extract information from floorplans.
• Develop pipelines for converting geometry into 3D models.
• Collaborate with CAD engineers to translate AI outputs.

Conhecimentos

Deep learning

Computer vision

Geometry-based learning

Spatial context

Document/image parsing

Ferramentas

PyTorch

TensorFlow

YOLO

Open3D

Rhino/Grasshopper

Descrição da oferta de emprego

Formify is building the future of digital manufacturing for interior spaces --- from online 3D configuration to ready-to-machine outputs for kitchens, closets, and bathrooms. As part of our roadmap, we're developing AI tools that convert floorplans into 3D layouts to accelerate design, quoting, and production workflows.

Your Role

We're seeking an AI/ML Engineer to lead the development of a system that can analyze floorplan images (PDFs, DWGs, etc.) and convert them into 3D geometry --- walls, doors, windows, and more --- ready for our CPQ engine. You'll develop core AI capabilities and work closely with our design automation and backend teams to bring intelligent layout recognition to life.

What You'll Do

Design and train deep learning models to extract spatial and semantic information from 2D floorplans (images or vector files).

Develop pipelines to convert detected geometry into structured 3D models (e.g., wall objects, door/window placement).

Work with vector data (DXF/DWG), PDFs, or raster images to detect key architectural features.

Collaborate with CAD and backend engineers to translate AI output into parametric geometry.

Optimize models for speed, accuracy, and usability in real-world production environments.

Create optimal cabinetry layouts and suggestions from data provided from designers.

Experience Levels

Mid-Level (3-6 years experience)

Strong experience with deep learning frameworks (PyTorch, TensorFlow) and vision models (YOLO, UNet, Detectron, etc.)

Experience in computer vision or document/image parsing

Understanding of geometry-based learning and spatial context

Ability to translate model output into geometric representations

Senior Level (6+ years experience)

Advanced expertise in geometry-based learning , OCR with spatial context , and complex vision systems

Proven ability to lead ML projects from conception to production

Experience with CAD/BIM environments, Rhino/Grasshopper, or geometry processing libraries (e.g., trimesh, Open3D)

Track record of deploying ML models in real-world manufacturing or design environments

Project leadership and team mentoring experience

Bonus Experience

Experience with CAD/BIM environments, Rhino/Grasshopper, or geometry processing libraries

Knowledge of architectural drawing standards and conventions

Experience in manufacturing or design automation industries

Why You'll Love This

You'll work at the bleeding edge of vision + design automation.

Your work will drastically reduce the time from inspiration to production in the interiors industry.

Join a cross-functional team where AI connects directly to real-world manufacturing.

Competitive compensation with opportunity to pioneer AI applications in manufacturing.