# Senior Machine Learning Engineer at AIR

- Company: AIR
- What the company does: AIR secures your agent fleet and filters every AI add-on before it enters your enterprise. Continuous vetting, governance, and runtime protection for safe AI adoption. Backed by Sequoia.
- Company website: https://www.air.security/
- Type: Startups (AI role)
- Level: Senior
- Location: Arlington, Virginia, United States; Pittsburgh, Pennsylvania, United States; Remote
- Work setup: Remote
- Posted: 2026-09-08
- Apply by: 2026-10-23
- Apply: https://job-boards.greenhouse.io/air/jobs/4398322009
- Page: https://www.1752.vc/careers/jobs/air-senior-machine-learning-engineer/

## About the role

Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers.

## What they're looking for

- U.S. Citizenship is required
- 5+ years of experience building production machine learning systems, ML infrastructure, distributed systems, or similar technical systems
- Deep experience designing, building, and operating production ML infrastructure or ML platforms
- Experience building infrastructure for training, fine-tuning, evaluating, deploying, and monitoring large language models or other large-scale deep learning models
- Experience with LLM fine-tuning and post-training workflows, including techniques such as supervised fine-tuning, LoRA/QLoRA or other parameter-efficient approaches, and preference optimization
- Strong understanding of the modern LLM lifecycle, including data preparation, training, evaluation, model artifacts, deployment, inference, monitoring, and iteration

Tags: AI