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Interpretability Ai Jobs in Springfield, VA (NOW HIRING)

CACI

Data Scientist - AI/mL Specialist

Fairfax, VA · On-site

... interpretability methods (SHAP, LIME) Proven experience developing AI systems that comply with federal governance and ethical standards Proficiency with MLOps practices, model versioning, CI/CD ...

GEICO

Sr Staff Engineer - Applied AI

Bethesda, MD · On-site

Establish and drive adoption of engineering best practices for reliability, interpretability, safety, governance, monitoring, and responsible AI deployment * Ensure AI system implementations meet ...

Geico

Sr. Software Engineer - Applied AI

Bethesda, MD · On-site

$131K - $172K/yr

Establish and promote engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems. What We Are Looking For (Must Have) * Experience: 4+ ...

Geico

Sr Staff Engineer - Applied AI

Bethesda, MD · On-site

Establish and drive adoption of engineering best practices for reliability, interpretability, safety, governance, monitoring, and responsible AI deployment * Ensure AI system implementations meet ...

Cvent

Senior Data Scientist

Tysons, VA · On-site

... and interpretability. * Proficiency with SQL. * Familiarity with Git and collaborative development workflows. * Some understanding of GCP or cloud-based data and AI infrastructure. * Experience ...

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All JobsInterpretability Ai JobsInterpretability Ai Jobs in Springfield, VA

Interpretability Ai information

See Springfield, VA salary details

$46.5K

$135.5K

$185.4K

How much do interpretability ai jobs pay per year?

As of Sep 2, 2026, the average yearly pay for interpretability ai in Springfield, VA is $135,492.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,600.00 and $143,600.00 per year, depending on experience, location, and employer.

What is interpretability in AI?

Interpretability in AI refers to the ability to understand and explain how artificial intelligence systems, especially complex models like neural networks, make their decisions. It helps researchers, developers, and end-users to trust AI systems by making their inner workings more transparent. Interpretability is crucial in sensitive fields such as healthcare and finance, where decisions need to be justified and understood. Techniques for interpretability include feature importance, visualization, and model simplification. Improving interpretability can lead to safer, fairer, and more accountable AI systems.

What are the key skills and qualifications needed to thrive as an AI interpretability specialist, and why are they important?

To thrive as an AI Interpretability Specialist, you need expertise in machine learning, statistics, and data analysis, often backed by a degree in computer science, mathematics, or a related field. Familiarity with interpretability frameworks (like LIME, SHAP), deep learning libraries (such as TensorFlow or PyTorch), and experience with model evaluation tools are typically required. Strong problem-solving abilities, communication skills, and intellectual curiosity help bridge the gap between technical results and stakeholder understanding. These competencies are essential to ensure AI models are transparent, trustworthy, and aligned with ethical standards.

What are the main challenges faced when working in interpretability AI roles, and how can professionals address them?

Professionals in Interpretability AI often face the challenge of translating complex machine learning models into understandable insights for both technical and non-technical stakeholders. This requires not only a deep understanding of algorithms but also strong communication skills to bridge the gap between data scientists, engineers, and decision-makers. Additionally, balancing the trade-off between model accuracy and interpretability can be tricky, as more interpretable models may sometimes be less accurate. Collaborating closely with cross-functional teams and staying updated with the latest interpretability techniques can help overcome these challenges and add value to AI projects.

What is the difference between Interpretability Ai vs Data Scientist?

AspectInterpretability AiData Scientist
Required CredentialsTypically a background in AI, machine learning, or data analysis; often a master's or PhD in related fieldsDegree in computer science, statistics, or related fields; often a master's or PhD
Work EnvironmentResearch labs, AI development teams, tech companies focusing on explainable AIData analysis, modeling, and insights generation across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, tech, consulting, and more

Interpretability Ai specialists focus on making AI models transparent and understandable, often working on explainability tools. Data Scientists analyze data, build models, and generate insights. While both roles require strong analytical skills, Interpretability Ai emphasizes explainability techniques, whereas Data Scientists focus on data analysis and modeling across diverse industries.

What job categories do people searching Interpretability Ai jobs in Springfield, VA look for?

The top searched job categories for Interpretability Ai jobs in Springfield, VA are:

Interpretability Ai jobs near you
Infographic showing various Interpretability Ai job openings in Springfield, VA as of August 2026, with employment types broken down into 43% Internship, and 57% Full Time. Highlights an 100% Remote job distribution, with an average salary of $135,492 per year, or $65.1 per hour.

Data Scientist - AI/mL Specialist

CACI International, Inc.

Fairfax, VA • On-site

Full-time

Medical, Retirement, PTO

Re-posted 21 days ago

Job description

Job Title: Data Scientist - AI/mL Specialist
Job Category: Science
Time Type: Full time
Minimum Clearance Required to Start: Public Trust
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Continental US
* * *
The Opportunity:
CACI is seeking a Senior Data Scientist to support the Department of Homeland Security's Cyber Crimes Center (C3) in developing advanced AI and machine learning solutions for critical law enforcement investigations. In this role, you will:
  • Design and deploy production-grade AI/ML systems that enable investigators to combat cybercrime and dismantle criminal networks
  • Work within a collaborative technical team to deliver AI solutions that meet rigorous federal compliance standards
  • Contribute to mission-critical national security operations while advancing responsible AI practices
  • Apply cutting-edge machine learning techniques to solve complex investigative challenges

This position requires U.S. citizenship and eligibility to obtain a DHS Public Trust clearance.
Responsibilities:
  • Design and implement production AI/ML systems compliant with federal, DHS, and ICE governance requirements
  • Develop explainable and auditable AI solutions with integrated human-in-the-loop oversight mechanisms
  • Build machine learning models for investigative analytics including entity resolution, network analysis, and anomaly detection
  • Develop scalable data pipelines and ETL processes using Apache Airflow, Spark, and on-premise infrastructure
  • Design database solutions optimized for AI training, fine-tuning, and real-time inference on investigative data Implement continuous monitoring systems to detect bias, performance degradation, and security vulnerabilities
  • Support AI Use Case approval processes, Security Authorization (ATO), and risk management protocols
  • Document system architecture, data flows, and model explanations for audit and transparency requirements
  • Integrate AI capabilities with existing investigative systems through APIs and microservices
  • Ensure data provenance documentation and lawful data acquisition per federal requirements
  • Collaborate with software engineers, infrastructure architects, and cybersecurity specialists on cross-functional projects
  • Communicate technical concepts and model decisions to both technical and non-technical stakeholders
  • Maintain compliance with AI Security Control Baseline and federal governance frameworks
  • Contribute technical expertise to team initiatives and share knowledge and best practices with team members

Qualifications:
Required:
  • Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or related technical field
  • 5+ years of demonstrated AI/ML experience with a proven track record of delivering production AI systems
  • Advanced proficiency with machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and deep learning architectures
  • Expert-level Python programming with extensive experience in Pandas, NumPy, and Spark
  • Demonstrated experience deploying and maintaining production AI systems at scale
  • Experience with on-premise infrastructure, data centers, and physical server environments
  • Deep knowledge of explainable AI techniques and model interpretability methods (SHAP, LIME)
  • Proven experience developing AI systems that comply with federal governance and ethical standards
  • Proficiency with MLOps practices, model versioning, CI/CD pipelines, and workflow orchestration
  • Strong communication skills with ability to convey complex technical concepts to diverse audiences
  • Active Public Trust clearance or ability to obtain and maintain clearance

Desired:
  • Master's degree or PhD in a related technical field
  • Experience with Generative AI, large language models, prompt engineering, and fine-tuning techniques
  • Knowledge of AI security, bias detection and mitigation, and adversarial machine learning
  • Background in federal law enforcement or intelligence community AI applications
  • Expertise in Open-Source Intelligence (OSINT) analysis and cyber threat intelligence
  • Proficiency with Elasticsearch, Kibana, graph databases, and investigative analytics platforms
  • Familiarity with federal AI policies including Executive Orders 13960/14110, OMB guidance, and DHS/ICE directives
  • Experience with real-time streaming analytics and Change Data Capture (CDC)

This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI.
What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$94,400 - $198,200
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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