Senior Applied AI/ML Engineer (TS/SCI)

Location: Springfield, VA; must be willing to work at a customer site in Northern Virginia

Base pay in the Washington, DC metropolitan area: $140,000–$187,000–$205,700 annually

Company

hirify.global develops spatial intelligence capabilities that help decision makers and operators understand current events and plan for what comes next.

What you will do

• Build end-to-end data engineering and machine learning capabilities for Special Operations customers.
• Develop scalable pipelines for ingesting, transforming, and processing large or complex datasets.
• Apply advanced analytics and machine learning, then deploy models and inference services into production.
• Deliver analyst-facing data, machine learning, and software applications.
• Design APIs and reliable production services that translate ambiguous mission problems into practical solutions.
• Collaborate with customers, analysts, software engineers, and technical leadership in a small multidisciplinary team.

Requirements

• U.S. citizenship is required.
• Current and active TS/SCI clearance with a CI polygraph is required.
• Bachelor’s degree in Computer Science, Data Science, Information Science, Mathematics, Statistics, Engineering, or a related field.
• At least 8 years of related experience in data engineering, data science, machine learning engineering, software engineering, or a combination of these areas.
• Strong programming experience with Python, PySpark, and SQL, plus production data pipeline, data modeling, ETL/ELT, data quality, and transformation experience.
• Willingness to work onsite at a customer location in Northern Virginia is required.

Nice to have

• Distributed data engineering experience with Apache Spark/PySpark, HDFS, Delta Lake, Elasticsearch, or similar technologies.
• Experience operating machine learning models and inference services at scale across GPU/CPU clusters or containerized environments.
• Experience with geospatial analysis, H3 indexing, graph analytics, computer vision, OCR, natural language processing, or large language models.
• Experience building analyst-facing applications with FastAPI, Django, React, or TypeScript.
• Experience with cloud, DevOps, orchestration, API, and production service technologies such as AWS, Azure, Docker, Kubernetes, GitLab, CI/CD, Ansible, or Java.

Culture & Benefits

• Agile, fast-paced customer environment supporting mission-focused users.
• Small, multidisciplinary team with direct collaboration across technical and customer roles.
• Full-time employment with a competitive total rewards package.
• 401(k) with company match, mental health resources, student loan repayment assistance, adoption reimbursement, and pet insurance.

Hiring process

• The application window is three days from the posting date and may close earlier once a qualified candidate is identified.
• Clearance status must be verified before employment in cleared roles.