A logistics technology firm based in California seeks an AI Engineer to own allocation and packing models that enhance resupply systems. The role involves designing and implementing efficient packing solutions while addressing real-world constraints. Applicants should possess strong programming skills in Python and a solid foundation in operations research and optimization techniques. The position offers the opportunity to work on complex logistics challenges that have real-world impact.
Qualifications
Experience translating allocation logic into deterministic, testable production code.
Experience with bin packing, knapsack, or multidimensional packing problems.
Strong foundation in applied algorithms for physical feasibility problems.
Responsibilities
Design and implement packing and allocation models.
Integrate packing outputs into resupply and routing workflows.
Manage data inputs required for allocation and packing.
Skills
Strong programming skills in Python
Operations research
Optimization
Applied algorithms for resource allocation
Ability to reason about physical constraints
Education
Background in operations research, applied math, industrial engineering
Tools
Linear programming
Mixed-integer programming
Job description
A logistics technology firm based in California seeks an AI Engineer to own allocation and packing models that enhance resupply systems. The role involves designing and implementing efficient packing solutions while addressing real-world constraints. Applicants should possess strong programming skills in Python and a solid foundation in operations research and optimization techniques. The position offers the opportunity to work on complex logistics challenges that have real-world impact.