AI/ Machine Learning Engineer (Spatial & Design Intelligence)

Summary:

We are building a spatial-mapping device that powers an AI-driven design platform.As an AI / ML Engineer, you will own the intelligence that turns geometry into functional design decisions layouts, furniture placement, spatial reasoning, and design validation.

This role sits at the core of our products differentiation.

Key Responsibilities

• Spatial AI & Design Intelligence
• Develop AI models to convert 2D & 3D scans into structured spatial representations
• Encode and enforce architecture grammar & ergonomic rules
• Generate multiple optimized design alternatives
• Machine Learning Systems
• Design and train deep learning models for:

1. semantic segmentation
2. object recognition
3. spatial reasoning

• Develop constraint-based optimization & layout solvers
• Create data pipelines for training & evaluation
• AI to Product Integration
• Integrate models into the 3D design editor & workflow
• Optimize models for speed & reliability
• Collaborate with SLAM & geometry teams for clean AI inputs
• Continuous Improvement
• Evaluate output quality using measurable design metrics
• Improve model robustness using real-world data
• Develop automated testing & monitoring for AI pipelines

Skills

• Core
• Strong Python
• PyTorch
• Computer Vision fundamentals
• Geometry & spatial reasoning
• Optimization & constraint solvers
• AI / ML
• CNNs, Transformers
• Graph neural networks (nice to have)
• Semantic segmentation
• Object detection
• Data engineering & evaluation
• Tools
• NumPy, OpenCV
• Training pipelines
• Dataset labeling tools

Nice to have

• Experience with architectural or spatial data
• Experience with 3D data & point clouds
• Reinforcement learning for layout optimization
• Experience with generative models for design

Success Metrics

• Accurate AI-generated layouts that meet design standards
• Reduced manual effort for designers
• High adoption of AI recommendations
• Stable & fast AI inference in production

Details

Company website : bindassdealdigital.com

Classification : Full-time work

Experience : 2 to 6 years

Location : On-site/hybrid