Job Description

A cutting-edge AI company is seeking a Machine Learning Applications Engineer to help build and scale mission-critical data applications. This role bridges software engineering, machine learning, and data infrastructure—and requires eligibility for a U.S. government security clearance.

You’ll design intelligent systems, optimize performance, and craft tools that turn data into powerful insights for real-world decision-making. Ideal for engineers passionate about applied AI and looking to grow into senior or technical leadership roles.

In This Role, You Will:

• Build scalable ML applications using a Python-based SDK
• Design efficient data pipelines and workflows
• Solve runtime performance issues and ship production-ready code
• Collaborate with product teams to enhance usability and impact
• Build intuitive dashboards and data-driven user interfaces

What You’ll Need:

• 4+ years in software engineering or a CS-related degree
• Strong Python skills and experience with the data science stack, Docker, Git
• Experience deploying applications in production
• Active security clearance at the TS/SCI, TS, or Secret level

Bonus Points For:

• End-to-end ML engineering experience
• Familiarity with tools like Celery, Airflow, Flask, Dash, or Streamlit
• Experience in defense, predictive maintenance, or cyber analytics
• Active DoD clearance (Secret or TS/SCI)

This is a rare opportunity to apply your technical skills where they truly matter—on high-impact AI systems in a mission-driven environment.

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