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Machine Learning Engineer-Secret Clearance

Machine Learning Engineer-Secret Clearance

Talent Stack LLCWashington, DC, United States
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Overview

Machine Learning Engineer-Secret Clearance

Location : Washington, DC (Hybrid, SCIF access required)

Clearance : Active and / or transferable U.S. Government security clearance required (Secret; TS / SCI preferred)

Salary : $150,000 - $215,000 per year plus equity options

What You’ll Do

  • Spearhead platform upgrades to keep solutions at the forefront of innovation.
  • Build and manage dynamic dashboards using Python SDKs to deliver intuitive, actionable insights.
  • Optimize data access patterns to ensure system efficiency and performance.
  • Troubleshoot and resolve runtime performance issues for responsive, stable applications.
  • Architect robust, scalable, and user-friendly applications with an eye toward growth.
  • Collaborate with product managers and technical stakeholders to deliver usability enhancements.

What You Won’t Do

  • Be siloed into one area—this role requires versatility across ML, data, and software engineering.
  • Focus solely on research without implementation—this is a hands-on engineering role.

    • Qualifications

  • Active and / or transferable U.S. Government DOD security clearance (minimum Secret; TS / SCI preferred).
  • Bachelor’s Degree in Computer Science (Master’s Degree preferred).
  • 4+ years of experience in ML engineering, data engineering, or software development.
  • 4+ years in Python-based data engineering stack (pandas, numpy, scikit-learn, PyTorch, Plotly, etc.).
  • Experience with production deployment of ML solutions (preferably in secure or classified environments).
  • Experience collaborating with cross-functional teams in mission-driven projects.
  • Familiarity with Docker, Kubernetes, and Git.
  • Proven track record of deploying software into production environments.
  • Experience with big data technologies and frameworks (Spark, Databricks, Snowflake, etc.).
  • Exceptional problem-solving skills and a strong sense of ownership.
  • Excellent communication skills in English, both written and verbal.

    • Preferred Skills

  • End-to-end experience in Machine Learning Engineering, from model development to deployment.
  • Experience with Predictive Maintenance, data sources relevant to US Air Force systems, supply chain, and scheduling optimization.
  • Experience with Cyber Analytics, network monitoring, CVEs and cyber vulnerabilities.
  • Experience with task schedulers (e.g., Celery, Airflow, Prefect) and web-app stacks (Flask / Django) or app builders like Streamlit / Plotly Dash.
  • 40-hour work week with flexible start / end times (core hours 10am–4pm).
  • Hybrid schedule in the DMV area with SCIFs as required; weekly SCIF visits may be expected.
  • Occasional travel to customer sites outside the area (approximately quarterly, semi-annually, or yearly).
  • Open to travel to headquarters in Pasadena, CA, or other U.S. customer sites.
  • Growth opportunities into senior engineering or technical leadership roles.

    • Compensation and Benefits

  • Salary : $150K - $215K plus equity (5,000 shares).
  • Competitive benefits package including medical, dental, and vision.
  • Unlimited paid time off.
  • Full-time role.
  • Visa sponsorship not available.

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    Machine Learning • Washington, DC, United States