ML Engineer for National Security Analytics

STR; Arlington (VA); On-site; USD 115,000 - 140,000; Full time

Job summary

STR’s Intelligence Division researches and develops analytics and ML-based solutions for national security challenges. As a Machine Learning Engineer, you will build and integrate AI/ML models into production systems, bridging prototype and product with scalable backend services and intuitive UIs.

You will work with researchers, engineers, and domain experts to analyze diverse datasets, develop models, and iterate with customers to meet mission needs.

Qualifications

• Experience applying AI/ML methods to real-world data science problems.
• Experience deploying AI/ML models and constructing analytics pipelines.
• Proficient with Python-based data science stack and related tools.
• Strong collaboration and communication across cross-functional teams.

Responsibilities

• Investigate and analyze large datasets to identify patterns and trends.
• Develop and apply AI/ML models to derive insights for analysts.
• Collaborate to deploy capabilities into production systems.
• Support backend services, APIs, and user interfaces.

Skills

Python programming

Big data

Data visualization

Git & collaboration tools

AWS experience

Education

Bachelor’s or Master’s in Statistics/Data Science/Applied Math/CS/EE

Tools

Python stack: NumPy, Pandas, scikit-learn, PyTorch, matplotlib

Job description

STR’s Intelligence Division researches and develops analytics and ML-based solutions for national security challenges. As a Machine Learning Engineer, you will build and integrate AI/ML models into production systems, bridging prototype and product with scalable backend services and intuitive UIs.

You will work with researchers, engineers, and domain experts to analyze diverse datasets, develop models, and iterate with customers to meet mission needs.