Onsite AI/ML Validation SME — Sensing & Autonomy

Noblis; Reston (VA); On-site; USD 177,000 - 276,000; Full time

Benefits offered by this job

Health, life, disability, financial, &

Paid leave

Professional development

Tuition assistance

Work-life programs

Award programs

Eligibility for benefits for 20+ hours

Job summary

Noblis is seeking a Data Scientist to serve as a subject matter expert for a government contracting program focused on advanced sensing, autonomous systems, and AI/ML. This onsite role in Reston, VA centers on validating model performance and advising on integration.

Responsibilities include developing AI/ML validation frameworks, leading data curation, and researching adversarial robustness to strengthen models against threats, with direct impact on deployment in operational environments.

Qualifications

• Master’s degree or PhD in a technical field.
• 10+ years in data science or ML, with defense/IC program experience.
• US Citizenship with Active Top Secret / SCI clearance.

Responsibilities

• Design AI/ML validation and testing frameworks to evaluate model performance and robustness.
• Lead data curation and feature engineering pipelines for high-quality datasets.
• Conduct adversarial attack research and develop countermeasures for robustness.
• Support autonomous systems integration and AI architecture guidance.
• Develop analysis tools to support intelligence workflows and sensor data exploitation.
• Perform uncertainty analysis on AI outputs and communicate risk to stakeholders.

Skills

AI/ML validation

Adversarial robustness

Uncertainty quantification

Python/R programming

Education

Master’s degree or PhD in Data Science, CS, EE, or applied math

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Noblis is seeking a Data Scientist to serve as a subject matter expert for a government contracting program focused on advanced sensing, autonomous systems, and AI/ML. This onsite role in Reston, VA centers on validating model performance and advising on integration.

Responsibilities include developing AI/ML validation frameworks, leading data curation, and researching adversarial robustness to strengthen models against threats, with direct impact on deployment in operational environments.