AI Engineer - Allocation and Packing Systems
- Location
- El Segundo, CA · On-site
- Job type
- Full-time
- Level
- Mid-level
- Listed
- 23 days ago
Skills & highlights for this role
- US citizenship
- security clearance eligibility
- Python
- operations research
- mixed-integer programming
- bin packing
- heuristic algorithms
Also useful
- simulation systems
- machine learning
- vehicle loading
What You'll Do
Allocation & Packing Modeling
- 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.
Algorithm Engineering
- 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.
Data Ownership & Preparation
- 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.
Production Integration
- 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.
What We’re Looking for
Core Skills
- Strong programming skills in Python or similar, with experience translating allocation logic into deterministic, testable production code.
- Strong foundation in operations research, optimization, or applied algorithms for resource allocation and physical feasibility challenges.
Or Background
- 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
Systems Thinking
- Ability to reason about physical constraints and edge cases.
- Comfort owning data pipelines and assumptions end-to-end.
- Strong attention to correctness and failure modes.
Bonus Points
- Experience integrating packing with simulation systems.
- Prior exposure to defense or government planning environments.
- Experience with Machine Learning models, experimentation (e.g., A/B testing) and causal inference
Mission and Identity
We are building the system that enables faster, smarter logistics decisions in contested environments, and we're doing it with a team of seasoned entrepreneurs, operators, and technologists who have built and scaled solutions in this space before. We hold ourselves to an extremely high standard. We value clear thinking, direct communication, and the kind of ownership that doesn't stop until something actually works.
- Our mission is to create decision advantage when the stakes are the highest.
- If we succeed, the system doesn't just run; it gets smarter.
- We're not building AI for its own sake.
- We're building it because faster, smarter decisions in the most demanding environments on earth can't wait.
- If you want to work somewhere the stakes are real and the mission is urgent - you'll fit in here.
Compensation
Gallatin offers competitive compensation commensurate with experience. Actual compensation may vary based on experience, skills, and location. In addition to base salary, we offer a generous equity grant, full healthcare coverage, 401k, unlimited PTO, and the perks of working in a high-caliber, mission-driven environment.
This position may require the ability to obtain and maintain a U.S. government security clearance. The successful candidate must be able to work in a classified environment when necessary.
We comply with the United States Department of Labor's Pay Transparency provision
Note: Due to the nature of certain government contracts held by this organization, U.S. citizenship is a requirement for all positions at Gallatin. Proof of citizenship will be required prior to employment if selected.
About Gallatin
At Gallatin, we are rebuilding logistics infrastructure for the national security missions of the United States and allied partners. We build AI systems that determine how logistics decisions are made - not just how they're executed. From factory to foxhole, we operate at the layer where data becomes decisions, and decisions make the advantage.
Why Gallatin?
The logistics infrastructure that supports America's warfighters and humanitarian disaster responders is overdue for transformation, and we are building it. From defense operations to disaster response, we're solving the hardest problems that keep missions moving when it matters most. Join a team where the mission is the point.
Equal opportunity and legal notices
Gallatin is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable federal, state, or local law.
From Gallatin's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.
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Common questions
Where is the AI Engineer - Allocation and Packing Systems job at Gallatin located?
This AI Engineer - Allocation and Packing Systems position at Gallatin is located in El Segundo, CA (On-site). Always check Gallatin's application page for specific state eligibility or relocation policies.
What qualifications are required for AI Engineer - Allocation and Packing Systems at Gallatin?
For the AI Engineer - Allocation and Packing Systems role, Gallatin highlights experience with Python, operations research, mixed-integer programming, bin packing, heuristic algorithms. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the AI Engineer - Allocation and Packing Systems position at Gallatin?
This listing links directly to Gallatin's Ashby application page. You can apply directly on Gallatin's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.