Senior Algorithm Engineer (AI/ML – Computational Geometry & Spatial Algorithms)

Overview

Design and build core layout engine for automated test-fitting.

Responsibilities

• As a Spatial Algorithms Engineer, you will design and build the core layout engine that generates optimized floor plans based on spatial constraints, architectural rules, and business requirements.
• You will work at the intersection of:
• ● computational geometry
• ● optimization algorithms
• ● real-world workplace design
• Your work will directly power Saltmine’s ability to automatically generate and evaluate thousands of layout options for enterprise customers.
• Build Automated Test-Fit Engine
• Design Constraint-Based Systems
• Optimization & Layout Generation Systems
• Geometry & Spatial Modeling Systems
• Scoring & Evaluation Systems
• Performance Optimization
• Cross-Functional Collaboration

Qualifications

• NOTE: This is not a traditional LLM/NLP-based AI role. We are looking for engineers with strong expertise in Computational Geometry, Optimization Algorithms, Spatial Reasoning, and Mathematical Problem Solving to build next-generation AI-powered layout generation systems.
• About Saltmine
• Saltmine is building an AI-powered workplace strategy and capital projects platform for enterprise real estate teams. We help global organizations move from business goals → spatial programs → stack plans → test fits → execution in a seamless, data-driven workflow.
• Our platform combines:
• ● Workplace strategy
• ● Occupancy planning
• ● Capital project planning
• ● AI-driven automation
• to enable faster, smarter, and more cost-efficient real estate decisions.
• We are now building a next-generation automated test-fitting engine that can generate high-quality, architecturally valid layouts in minutes and we’re looking for a Spatial Algorithms Engineer to help power this core capability.
• Core Computer Science & Algorithms
• ● Strong foundation in:
• ○ data structures
• ○ algorithms
• ○ graph theory
• Computational Geometry
• ● Hands-on experience with:
• ○ polygon operations (intersection, clipping, partitioning)
• ○ spatial reasoning and layout systems
• ● Familiarity with libraries like:
• ○ Shapely / GEOS
• ○ JTS / Turf.js
• Optimization Techniques
• ○ constraint solving
• ○ heuristic optimization
• ● Exposure to:
• ○ simulated annealing
• ○ genetic algorithms
• ○ linear/integer programming
• Note: We are open for any other technique; the idea is to work towards a solution that is best in industry.