Machine Learning Cloud Infrastructure Engineer (AI)

Location: Remote within the United States; U.S. citizenship and eligibility to obtain and maintain a U.S. Government security clearance required

Salary: $150,000–$175,000 per year, plus equity and bonus opportunities

Company

hirify.global develops software-defined hardware and collaborative autonomy systems for military and commercial applications across sea, air, and land.

What you will do

• Build pipelines that transform telemetry, imagery, video, sensor, and simulation data into curated, versioned training datasets.
• Develop reproducible training, evaluation, experiment-tracking, and model-deployment workflows across cloud and GPU resources.
• Design and operate AWS infrastructure as code, Kubernetes/EKS workloads, containerized environments, and self-service tooling.
• Implement model quality evaluation, regression testing, monitoring, logging, tracing, and observability across ML systems.
• Improve infrastructure scalability, reliability, security, utilization, and cost efficiency.
• Partner with Autonomy, Software, Data, Simulation, and Security teams on CI/CD, compliance, and production readiness.

Requirements

• 3+ years of experience in software, infrastructure, data engineering, ML infrastructure, or a related field.
• Strong Python programming skills; experience with Go, C++, or another systems-oriented language is preferred.
• Experience operating production services, APIs, data pipelines, developer platforms, or infrastructure.
• Hands-on experience with ML workflows, cloud infrastructure, Infrastructure as Code, Kubernetes, and containerized environments.
• Strong understanding of reliability, observability, testing, automation, and maintainability.
• U.S. citizenship and ability to obtain and maintain a U.S. Government security clearance.

Nice to have

• Experience with MLOps platforms such as MLflow, Weights & Biases, Kubeflow, Ray, Airflow, or Dagster.
• Experience with GPU scheduling, distributed training, large-scale ML workloads, or multimodal datasets.
• Background in autonomy, robotics, simulation, real-time systems, or edge and embedded ML deployment.
• Experience with AWS GovCloud, GCP Assured Workloads, FedRAMP, or IL4/IL5 environments.

Culture & Benefits

• Remote work with a mission-driven focus on defense technology and protecting lives.
• Employer-paid health, dental, vision, and life insurance for employees and families.
• 401(k) participation with matching, equity package, and bonus opportunity.
• Unlimited PTO with a two-week minimum, 16 weeks of paid parental leave, and home-office and wellness stipends.
• Values include innovation, integrity, ownership, forward-looking problem-solving, and servant leadership.