Gallatin is building a logistics platform based on the needs and constraints of today's defense industry. Backed by 8VC.
About the role
Instrument production for drift, latency, cost, retrieval quality, and failure modes, including quiet ones such as a retrieval miss that produces a fluent but wrong answer. You have shipped an LLM or ML system to production and then had to keep it working. You know what breaks.
What they're looking for
- 5+ years in MLOps, ML platform, or infrastructure engineering, including meaningful time working on systems with real users
- Strong Python skills and comfort in a production codebase, not just notebooks
- Deep Kubernetes and containerization experience, plus infrastructure as code
- Production experience with AWS ML/Azure infrastructure (SageMaker, EKS, or equivalent)
- Hands-on GPU infrastructure experience: scheduling, utilization, memory sizing, and cost
- Hands-on experience deploying and operating production software in IL5 or IL6 environments, including disconnected or restricted-network deployments
More about this role
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.
What You'll Do
In this role, you will build the systems that move a model out of a notebook and into the hands of a planner. Sometimes, that means deploying to an air-gapped rack in a tent instead of a VPC. You will own the path from training run to deployed capability: the infrastructure it runs on, the release process that ships it, the evaluation harness that proves it works, and the telemetry that tells us when it stops working.
Our AI/ML team works across retrieval-grounded systems for doctrine and logistics data, document and feature extraction, military symbol recognition, optimization and movement models, and an LLM agent platform. This role underpins that work: building the infrastructure, release processes, and evaluation systems that make it shippable and keep it honest in production. You will have plenty of room to shape how we...
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