# Machine Learning Operations (MLOps) Engineer at Gallatin

- Company: Gallatin
- What the company does: Gallatin is building a logistics platform based on the needs and constraints of today's defense industry. Backed by 8VC.
- Company website: https://gallatin.ai
- Type: Startups (AI role)
- Level: Mid level
- Location: El Segundo, CA
- Work setup: On-site
- Pay: $80K to $210K base salary per year (USD)
- Posted: 2026-09-17
- Apply by: 2026-11-01
- Apply: https://jobs.ashbyhq.com/gallatin/0be59879-c60a-4c7d-8d8d-cf5205871ef2
- Page: https://www.1752.vc/careers/jobs/gallatin-machine-learning-operations-mlops-engineer/

## 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

Tags: Engineering

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/gallatin-machine-learning-operations-mlops-engineer/