AI Engineer: Allocation & Packing Optimization

Gallatin; El Segundo (CA); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Equity grant

Full healthcare coverage

401k

Unlimited PTO

Job summary

Gallatin is building AI-driven logistics for national security missions, turning data into actionable decisions and delivering a decisive advantage. This role focuses on allocation and packing modeling, algorithm engineering, data preparation, and production integration to ensure feasible, reliable plans.

You will tackle packing constraints, 2D/3D packing, constraint satisfaction, and scaling to large fleets.

Qualifications

• Background in operations research, applied math, industrial engineering, or related fields.
• Familiarity implementing allocation and assignment algorithms, including matching, prioritization, and constraint-based allocation under competing demands.
• Experience modeling and solving packing problems, such as bin packing, knapsack, or multidimensional (2D/3D) packing problems.
• Experience encoding capacity, compatibility, priority, and physical constraints in allocation and packing systems.
• Familiarity with optimization techniques such as linear programming, mixed-integer programming, or heuristic and approximation methods for NP-hard problems.
• Experience balancing solution quality, feasibility, and computational performance in large-scale or time-sensitive systems.
• Experience with vehicle loading or palletization problems

Responsibilities

• Build, maintain, and implement packing and allocation models for transport assets.
• Encode constraints around volume, weight, compatibility, sequencing, and asset usage.
• Weigh packing efficiency against runtime and real-world operational constraints.
• Develop and refine heuristics or exact methods for solving packing and allocation problems.
• Scale packing solutions across large fleets and dynamic inputs.
• Evaluate tradeoffs between optimality, speed, and explainability.
• Take ownership of the data inputs that feed allocation and packing - asset and supply attributes included.
• Validate, normalize, and maintain packing-related datasets.
• Manage edge cases and incomplete data directly.
• Integrate packing outputs into resupply and routing workflows.
• Collaborate with other teams to confirm physical executability of outputs.
• Validate solutions through scenario testing and operational feedback.
• Ensure AI-generated plans cannot bypass physical feasibility or constraint enforcement layers.

Skills

Python

Operations Research

Optimization

Industrial Engineering

Job description

Gallatin is building AI-driven logistics for national security missions, turning data into actionable decisions and delivering a decisive advantage. This role focuses on allocation and packing modeling, algorithm engineering, data preparation, and production integration to ensure feasible, reliable plans.

You will tackle packing constraints, 2D/3D packing, constraint satisfaction, and scaling to large fleets.