
AI/Machine Learning Developer
3 days ago
About the Role
We are seeking an innovative AI/ML expert to revolutionize automated space planning and design.
The ideal candidate will bridge the gap between AI/ML technologies and interior design expertise to create automated design solutions.
Responsibilities:
- Develop comprehensive rule engines for interior design constraints
- Create algorithms for optimal placement of hobs, sinks, refrigerators, and storage solutions based on kitchen workflow principles
- Implement complex constraint optimization for furniture placement, clearance requirements, and accessibility standards
- Process room scans, floor plans, and measurements to understand spatial constraints and opportunities
- Automatically populate 3D spaces with appropriate furniture, fixtures, and appliances from product catalogs
- Ensure generated designs meet safety codes, ergonomic standards, and functional requirements
- Build models to understand and predict user design preferences and style choices
- Balancing aesthetics, functionality, cost, and space utilization
- Interactive systems for design preview and modification
Requirements
Technical Skills:
Computer Vision & 3D Processing
- OpenCV
- Open3D
- Detectron2/SAM/similar technologies
Machine Learning & Deep Learning
- PyTorch
- Hugging Face Transformers
- LightGBM/XGBoost
- MLflow
- Data Management
Qualifications:
- Bachelor's or Master's degree in Computer Science, Machine Learning, Computer Vision, or related field
- 3+ years of experience in computer vision and machine learning
- Strong programming skills in Python
- Experience with constraint programming and optimization problems
- Proven track record of building rule-based systems for complex decision-making
- Strong understanding of 3D geometry, spatial relationships, and collision detection
- Experience with version control (Git) and collaborative development
Preferred Qualifications:
- PhD in Computer Vision, Machine Learning, or related field
- Interior Design Background: Formal training or significant experience in interior design, architecture, or space planning
- Experience with CAD software (AutoCAD, SketchUp, Revit) or 3D design tools
- Knowledge of kitchen and furniture industry standards and suppliers
- Experience with cloud platforms (AWS, GCP, Azure) for ML workloads
- Knowledge of containerization (Docker) and orchestration (Kubernetes)
- Experience with real-time 3D rendering and visualization
- Familiarity with furniture/product catalog management systems
- Experience with generative design algorithms
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