AI/ML Engineer

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.

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.

• Develop algorithms to generate 2D layouts within complex floor plates
• Solve for:
• space allocation
• corridor generation
• adjacency constraints
• geometric validity

• Encode real-world rules into the system:
• door placement
• circulation access
• daylight constraints
• minimum room geometry
• Implement hard and soft constraint frameworks

• Build multi-objective optimization systems to balance:
• adjacency satisfaction
• space efficiency
• daylight utilization
• constraint compliance
• Apply techniques like:
• greedy algorithms
• simulated annealing
• genetic algorithms
• constraint solvers

• Work with:
• polygons and floor plate boundaries
• spatial partitioning
• graph-based circulation systems
• Implement:
• space subdivision

• packing algorithms
• layout refinement logic

• Design scoring engines to evaluate layout quality:
• adjacency score
• circulation efficiency
• residual space
• program compliance

• Ensure system can:
• generate multiple layouts efficiently
• scale to large enterprise floor plates
• support near real-time feedback

• Work closely with:
• product managers
• architects / workplace strategists
• frontend / visualization teams

• Strong foundation in:
• data structures
• algorithms
• graph theory

• Hands-on experience with:
• polygon operations (intersection, clipping, partitioning)
• spatial reasoning and layout systems
• Familiarity with libraries like:
• Shapely / GEOS
• JTS / Turf.js
• CGAL

• Experience with:
• 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 which is best

in industry.

• Strong in:
• Python (preferred)
• or C++ / Rust for performance-critical systems

• Grids, graphs, spatial indexing
• Quadtrees / BSP trees (good to have)

• Exposure to AEC / architecture / workplace planning
• Experience with:
• CAD / BIM tools (AutoCAD, Revit)
• Rhino / Grasshopper
• Background in:
• game development (procedural generation)
• robotics (path planning)
• simulation systems

• Strong problem-solving mindset with ability to translate real-world constraints into

algorithms

• Comfort working with geometry, layouts, and visual systems
• Ability to balance multiple competing constraints in optimization problems
• Ownership mindset and ability to build 0 1 systems

• Build the core engine powering automated workplace planning
• Directly influence how global enterprises design offices
• Work on a category-defining product in PropTech + AI

Interview Process

• Algorithm & case study round - A real problem statement
• Discussion around case study
• Technical discussion
• Final discussion with leadership