Senior Machine Learning Engineer

Location: McLean, VA (hybrid); occasional travel to Durham, NC and customer sites 

About CoVar

CoVar is a small AI/ML R&D software company with offices in Durham, NC and McLean, VA, that uses artificial intelligence to solve problems that matter. Our teams build AI/ML solutions that help the DoD detect enemies and threats, help biomedical researchers find new cures, and help monitor machinery to prevent injuries and environmental catastrophes. We are passionate engineers dedicated to pushing the bounds of what AI/ML can do in the real world. 

About the Role

We’re seeking a Senior ML Engineer (Technical Lead) with deep hands-on expertise in machine learning and computer vision, who can also lead DoD-focused programs, own customer engagement, contribute to business development, and help grow and manage a local engineering team in McLean over time. You’ll lead end-to-end technical delivery – from data to deployment – while serving as the primary technical point of contact for our customers. 

This role is ideal for someone who enjoys building production-grade ML systems, mentoring engineers, and translating complex technical work into compelling customer outcomes. 

What You’ll Do 

• Lead programs end-to-end: Scope requirements, set technical strategy and milestones, plan resourcing, manage risks, and deliver results for DoD-focused ML/CV projects. 
• Own customer relationships: Run technical discussions, requirement discovery, demos, standing meetings, and briefings with senior stakeholders; turn feedback into clear roadmaps. 
• Stay deeply hands-on (50–70%): 
  • Build data pipelines, train/evaluate CV models, and write production code.
  • Design, train, and optimize detection/segmentation/tracking models and custom computer-vision pipelines; handle imbalanced data, domain shift, and real-world constraints.
  • Deploy models to production (typically on the edge), instrument for monitoring, and iterate with CI/CD.
• Contribute to business development: Write technical sections of proposals/white papers, help shape capture strategy, provide level-of-effort estimates, and present prototypes. 
• Communicate and publish: Present results to high-level DoD and industry customers; author technical reports; publish novel work in classified/unclassified settings when applicable. 

Minimum Qualifications

• Experience: 5+ years designing, building, and deploying machine learning systems in production (8+ preferred). Strong track record leading technical delivery for complex projects. 
• ML/CV expertise: 
  • Deep understanding of ML fundamentals (e.g., gradient descent, cross-validation, ROC/PR curves, confusion matrices, mAP).
  • Computer vision experience with modern architectures (e.g., YOLO family, CenterNet, RetinaNet, Detectron2, ViTs, segmentation networks), augmentation strategies, and evaluation.
  • Experience with data curation/annotation workflows and dataset quality control.
• Software engineering: Python (NumPy, scipy, pandas/polars), PyTorch (preferred) or TensorFlow, git, CI/CD pipelines, automated testing, and code quality practices. 
• MLOps & deployment: Experiment tracking, Docker, ONNX/TensorRT, deploying inference services to the edge (e.g., NVIDIA Jetson). 
• Communication & leadership: Excellent technical communication, customer-facing experience, and proven ability to lead cross-functional efforts. 
• Education: B.S. in engineering, math, computer science, or related field; M.S./Ph.D. preferred. 
• Clearance: Eligibility for U.S. security clearance. This requires U.S. citizenship. 

Preferred Qualifications (Bonus) 

• Prior Department of Defense project experience, including briefing senior stakeholders and navigating DoD acquisition processes. 
• Active Secret or TS/SCI clearance; experience working in classified environments. 
• Experience managing or mentoring engineers; contributing to hiring and performance development.  
• Experience with proposal writing (SBIR/STTR, RFPs), technical volume authorship, and live demos.  
• Experience with multi-sensor fusion, signal-processing, tracking, synthetic data generation, domain adaptation, or semi/active learning for data-limited environments. 
• Familiarity with edge hardware optimization, and performance profiling.  
• Open-source contributions, publications, or patents in ML/CV.

Why This Role Matters 

You’ll be a key technical leader in our McLean office – setting technical direction, building a local team, and ensuring our DoD partners see tangible mission impact from AI/ML solutions. If you thrive in high-impact environments where you can both build and lead, we’d love to talk. 

Benefits

• Competitive salary, cash bonus, equity structure, and 401k with employer contributions
• Excellent health care coverage, including dental and vision plans
• Parental leave
• Short-term and long-term disability insurance
• Life insurance
• Flexible work schedule
• Tuition support
• PTO and paid holidays

Visit us: www.covar.com

Data Scientist - Healthcare Supply Chain Risk

Location: McLean, Virginia

Work Environment: Hybrid

Role Summary:

Exiger is seeking a Data Scientist with expertise in machine learning, NLP/LLMs, and statistical modeling to support mission-critical analytics for public sector customers. This role is ideal for an individual who thrives at the intersection of data science, supply chain risk, and operational decision-making, and can apply advanced analytics to strengthen supply chain resilience, improve risk visibility, and support continuity of operations.

The Data Scientist will develop and operationalize predictive risk models, anomaly detection systems, and supply chain analytics tools, working closely with AI Solutions Engineers and SCRM analysts to ensure seamless integration into customer environments. This individual will also design dashboards and visualizations, conduct large-scale data analysis across supplier networks and product flows, and present actionable insights to operational and leadership stakeholders—aligning advanced analytics with mission outcomes.

What You'll Do:

• Develop and apply machine learning (ML) and NLP/LLM models to support supply chain risk identification, supplier analysis, and operational decision-making.
• Build predictive risk models to identify and prioritize vulnerabilities across products, suppliers, and supply chain dependencies.
• Conduct statistical analysis on large-scale datasets (e.g., supplier data, product/SKU data, logistics and trade data) to identify anomalies, disruptions, and concentration risks.
• Design and implement risk scoring methodologies that incorporate supplier health, geographic exposure, dependency mapping, and external risk signals.
• Support scenario analysis and modeling to assess the impact of supply-side and demand-side disruptions.
• Collaborate with Forward Deployed Engineers to operationalize models within Exiger’s platform and customer workflows.
• Design and maintain dashboards, reports, and data visualizations to communicate insights to both technical and non-technical stakeholders.
• Translate complex analytical outputs into clear, mission-relevant insights for government stakeholders and operational users.
• Partner with SCRM analysts and program leadership to continuously refine models based on real-world risk signals and evolving mission priorities.

What You Need:

• Advanced proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch), SQL, and applied statistics.
• Strong background in machine learning, including anomaly detection, classification, clustering, and predictive analytics.
• Experience working with LLMs (development, fine-tuning, or applied use cases such as entity resolution, classification, or text analysis).
• Experience working with large, complex datasets, ideally related to supply chains, logistics, trade, or third-party risk.
• Familiarity with supply chain risk management (SCRM), third-party risk, or related domains (e.g., procurement, logistics, compliance, or healthcare supply chains).
• Experience building and deploying risk models or scoring frameworks in production environments.
• Proficiency in data visualization tools (Tableau, Power BI, matplotlib, seaborn) to deliver actionable insights.
• Strong communication skills with the ability to present technical findings to non-technical, mission-oriented stakeholders.
• Ability to work cross-functionally with engineers, analysts, and program teams in a fast-paced, delivery-focused environment.
• S. citizenship

Nice to Have:

• Experience supporting public sector or government customers.
• Familiarity with healthcare supply chains, medical products, or regulated industries.
• Exposure to graph-based data models, knowledge graphs, or network analysis.
• Experience working with external data sources such as trade data, shipping/logistics data, or corporate entity data.

Why You’ll Love Working at Exiger:

• High-performance culture rooted in accountability, collaboration, and a shared commitment to excellence.
• Discretionary Time Off for all employees, with no maximum limits on time off.
• Industry leading health, vision, and dental benefits.
• Competitive compensation package.
• 16 weeks of fully paid parental leave.
• Flexible, hybrid approach to working from home and in the office where applicable.
• Focus on wellness and employee health through stipends and dedicated wellness programming.
• Purposeful career development programs with reimbursement provided for educational certifications.

#Li-Hybrid

What Impact You'll Have

GRVTY's team uses AI/ML approaches (including NLP) to speed the analysis of massive amounts of aging data to determine what can and cannot be declassified, and the resulting redaction of portions of data items.  This effort is critical to protecting our exponentially-growing classified data sets and to responding to an increased number of FOIA requests.  The team consists of Data Scientists, ML experts, Software Engineers, Data Analysts, and Systems Integrators working very closely with groups of customer Analysts. 

Work on this program takes place in the Herndon, VA area (we cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer).

What You'll be Owning

GRVTY is seeking an Applications Developer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Herndon, VA. The Full Stack Web Application Developer will work on a suite of services that will supply users with tools to automate a wide range of enterprise-wide applications and data centric mission management applications. The candidate will be part of a team of Software Developers, ETL Developers, and Data Scientists to enhance existing production applications and build out new web services on a routinized production cadence to meet the evolving needs of users. This is an exciting opportunity for Software Developers wanting to broaden their credentials in the realm of artificial intelligence and machine learning (AI/ML). Development will take place in an iterative fashion using Agile development methodology with input from all levels of stakeholders. The candidate must have the ability to communicate with project team members, user community, and leadership to assess changes and demonstrate iterative progress.

This position will include a variety of activities, including:

• Integrating AI/ML technology into a production web application.
• Participation with iterative software development teams with adherence to all reporting requirements.
• Designing, developing and unit testing code for a production system and demonstration capabilities.
• Developing rapid prototypes to drive out requirements and design.
• Providing demonstrations and detailed walk through of features to a variety of technical and non-technical audiences.
• Meeting with stakeholders, analyzing requirements, developing user stories, and translating these into software development tasks.
• Development of technical documentation and briefing materials to support program status reviews, control gates, and other presentations as directed.
• Write and maintain technical documentation for application workflows, integrations, and compliance procedures.
• Optimize and enhance application performance, ensuring scalability and security.
• This is an application developer within the data analytics team, but selected developer may help out other DWS groups if the mission need is there.

What You Must Have

• Active TS/SCI with Polygraph Clearance
• Demonstrated experience on Agile software development teams following Agile methodologies, including Scrum and Kanban.
• Demonstrated experience using Jira, Confluence, and GitHub for documenting work and team collaboration.
• Minimum 8-10 years building web applications and UX/UI frameworks using Angular, React or JavaScript with specific examples. Java Spring framework is a plus.
• Minimum 6-8 years working in Linux Operating system.
• Minimum 4-6 years of demonstrated experience with development and deployment of applications in the Commercial Cloud Services (C2S) environment or an Amazon Web Services cloud environment. Willing to consider to substitute C2S if candidate has a minimum 4-6 years of cloud computing technology to include Azure, Oracle, Google, etc.
• Minimum 2-3 years of demonstrated experience with search & analytic tools. Examples to include ElasticSearch, Solr, OpenSearch.
• Minimum 2-3 years of demonstrated (Extract, Transform, Load - ETL) with large structured and unstructured raw data sets.
• Minimum 2-4 years of demonstrated ability to design, develop, test and implement new applications based on project requirements.
• The ability to work individually as well as the ability to work in project teams. Proven ability in decomposing concepts to discrete development tasks and managing your work to a deadline.
• Minimum 6-8 years of demonstrated ability in microservices up to and including docker, podman, and or containerization services.
• Minimum 4-6 years in Object Oriented programming. Python is preferred software development language, but would consider Java, JavaScript, C#, SQL, Etc.
• Bachelor’s degree in Computer Science, Math, or other relevant field and minimum of six years of experience (Master’s degree equates to an additional 2 years of relevant work experience)

What Would be Nice to Have

• Demonstrated experience with text analytics and its applications/role/use in business intelligence/business analytics (i.e. search, entity extraction, sentiment analysis, document summarization, document categorization) whether through education or experience.
• Demonstrated experience developing proof of concepts of new technologies and evaluating the state of the art in machine learning algorithms for text analytics whether through education or experience.
• Demonstrated experience with machine learning frameworks such as PyTorch, Keras, Tensorflow whether through education or experience.
• Demonstrated experience with data visualization tools (i.e. Tableau, Pandas, D3.js, ggplot, etc) whether through education or experience.
• Demonstrated experience with Relational or Non-Relational data stores such as MySQL, Postgres, MongoDB, or DynamoDB whether through education or experience.
• Demonstrated experience using Natural Language Processing tools such as spaCy, NLTK, Stanford CoreNLP, or Gensim Natural Language Processing whether through education or experience.

#LI-BPJ

What Impact You'll Have:

Join a mission-focused team where your work directly supports critical national security objectives. We are seeking a Subject Matter Expert (SME) Full Stack Developer to lead the design, development, and delivery of scalable, mission-driven applications within an ML/Ops environment. This role combines deep technical expertise with advanced system-level thinking and close collaboration across engineering, data science, and customer stakeholder teams.

The Full Stack Developer will perform rapid application design, ETL, data analysis, and interpretation while developing rules and methodologies for data collection and analysis. You will architect, develop, and maintain a Python-based data warehouse processing system that serves as the backend for a user-facing application, while also leading development of modern GUI applications using REST APIs and contemporary web frameworks.

You will work closely with data scientists, computer vision engineers, ETL engineers, and intelligence analysts to integrate machine learning capabilities into production systems, enabling scalable model deployment, monitoring, and continuous improvement. This role emphasizes ownership, technical leadership, and delivery of production-ready solutions that operate reliably in dynamic, real-world environments.

What You'll Be Owning:

• Lead and participate in the architectural design of complex features early in the development lifecycle.
• Translate customer requirements and roadmap priorities into technical solutions, tasks, timelines, and resource plans.
• Develop, integrate, and maintain full stack applications supporting ML/Ops pipelines and data-driven systems.
• Design and implement scalable APIs and services to support machine learning model deployment and inference.
• Develop and maintain data pipelines, ETL processes, and data storage solutions for large-scale datasets.
• Collaborate with data scientists and ML engineers to operationalize models within production environments.
• Optimize application and system performance for scalability, reliability, and efficiency, including edge and distributed environments when applicable.
• Conduct peer reviews and establish coding standards to improve overall code quality and maintainability.
• Guide development testing, exploratory testing, automated testing, and validation strategies.
• Own code in production environments, respond to incidents, and lead root cause analysis and continuous improvement efforts.
• Ensure security, compliance, and governance are maintained throughout the development lifecycle.
• Perform technical planning, system integration, verification and validation, and risk assessments across system components.
• Mentor and develop junior and mid-level engineers, fostering technical growth and high-performing teams.
• Drive adoption of modern ML/Ops practices, tools, and automation frameworks across the team.

What You Must Have:

• Active TS/SCI clearance with the ability to obtain a CI poly
• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 14+ years of professional experience in full stack software development.
• Expert-level proficiency in Python and object-oriented design patterns.
• Extensive experience developing backend systems, APIs, and data processing pipelines.
• Strong experience with modern web development frameworks, including React.js, Node.js, and/or Electron.
• Deep understanding of data modeling techniques and experience working with large-scale and time series datasets.
• Experience with relational and non-relational databases such as PostgreSQL, MongoDB, and BigQuery.
• Experience building and maintaining RESTful APIs and microservices architectures.
• Experience supporting machine learning workflows, including model integration, deployment, and monitoring.
• Familiarity with ML/Ops tools and utilities such as MLflow, DVC, and/or Optuna.
• Strong experience with Python libraries such as NumPy and Pandas.
• Experience with Python web frameworks such as Flask, FastAPI, Pydantic, Gunicorn, and Uvicorn.
• Experience with containerization and DevOps practices, including Docker and CI/CD pipelines.
• Experience with web servers such as Apache and Nginx.
• Experience working within Agile development environments and using associated tools.

What Would be Nice to Have:

• Experience supporting government or defense-related programs.
• Experience integrating computer vision or machine learning capabilities into operational systems.
• Knowledge of real-time data processing, streaming architectures, or distributed systems.
• Experience with cloud-based ML/Ops environments and infrastructure (AWS, Azure, or Google Cloud Platform).
• Experience with parallelization and multiprocessing frameworks such as Dask.
• Knowledge of geospatial data processing tools and libraries including GeoPandas, Shapely, Rasterio, QGIS, and ArcPy.
• Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Experience with remote procedure call technologies such as gRPC and JSON-RPC.

#LI-CM1

What Impact You'll Have:

Join a mission-focused team where your work truly matters. We are seeking a Subject Matter Expert (SME) Computer Vision Engineer to help build cutting-edge solutions that support critical national defense operations. This role combines hands-on development, advanced system-level thinking, and close collaboration with cross-functional teams including software engineers, systems integrators, and program managers.

You’ll be at the forefront of designing and deploying real-time computer vision systems that perform in dynamic and often high-stakes environments. This is a results-driven role within an ML-Ops environment focused on delivering production-ready solutions, processing large-scale data, and ensuring robust model deployment and performance in real-world conditions.

In this role, you will lead full lifecycle systems engineering activities, ensuring the translation of mission requirements into scalable, effective, and supportable technical solutions across both software and integrated systems.

What You'll Be Owning: 

• Design and implement advanced vision models for tasks such as object detection, tracking, scene understanding, and activity recognition.
• Lead collaboration with engineering teams to integrate vision capabilities into complex defense systems.
• Optimize performance for edge devices and embedded systems in operational environments.
• Oversee testing and validation of computer vision systems to ensure mission readiness.
• Lead system architecture, technical strategy, and full lifecycle systems engineering efforts.
• Perform technical planning, system integration, verification and validation, cost and risk analyses, and supportability and effectiveness assessments.
• Conduct and guide functional analysis, timeline analysis, trade studies, requirements allocation, and interface definition to translate customer requirements into hardware and software specifications.
• Support and influence system development across all lifecycle phases including concept, design, fabrication, test, installation, operation, maintenance, and disposal.
• Ensure the logical and systematic conversion of customer and product requirements into total systems solutions that account for technical, schedule, and cost constraints.
• Mentor junior and mid-level engineers and establish best practices across the team.
• Maintain security and compliance throughout the development lifecycle.

What You Must Have:

• Active TS/SCI clearance with Polygraph eligibility.
• Bachelor’s degree in Computer Science, Data Science, or a related field.
• 14+ years of experience in computer vision, machine learning, or closely related fields.
• Proficiency in Python and its ecosystem, including frameworks and libraries such as Flask, SQLAlchemy, Boto3, NumPy, and Pillow, as well as deep learning tools such as PyTorch and TensorFlow; experience with Swift (OpenStack client) is also required.
• Proficiency in writing and optimizing SQL queries for data retrieval, analysis, and management.
• Deep experience with modern computer vision models such as YOLO, Faster R-CNN, and Vision Transformers.
• Strong familiarity with OpenCV and classical computer vision techniques.
• Advanced engineering fundamentals, including experience with Git, Docker, and CI/CD practices.
• Experience with machine learning utilities such as MLflow, Optuna, and DVC.

What Would be Nice to Have: 

• Experience supporting government or defense-related programs.
• Extensive experience developing Python scripts for data automation, process optimization, and machine learning workflow implementation.
• Knowledge of real-time video analytics, sensor fusion, or 3D perception.
• Experience working within secure or classified development environments.

#LI-CM1

What Impact You'll Have:

Join a mission-focused team where your work truly matters. We are seeking a Senior Computer Vision Engineer to help build cutting-edge solutions that support critical national defense operations. This role combines hands-on development, system-level thinking, and close collaboration with cross-functional teams including software engineers, systems integrators, and program managers.

You’ll be at the forefront of designing and deploying real-time computer vision systems that perform in dynamic and often high-stakes environments. This is a results-driven role within an ML-Ops environment focused on delivering production-ready solutions, processing large-scale data, and ensuring robust model deployment and performance in real-world conditions.

In this role, you will also contribute to full lifecycle systems engineering activities, ensuring the translation of mission requirements into scalable, effective, and supportable technical solutions across both software and integrated systems.

What You'll Be Owning:

• Design and implement advanced vision models for tasks such as object detection, tracking, scene understanding, and activity recognition.
• Collaborate with engineering teams to integrate vision capabilities into defense systems.
• Optimize performance for edge devices and embedded systems.
• Complete testing and validation of computer vision systems.
• Contribute to system architecture, technical strategy, and full lifecycle systems engineering activities.
• Perform technical planning, system integration, verification and validation, cost and risk analyses, and supportability and effectiveness assessments.
• Conduct functional analysis, timeline analysis, trade studies, requirements allocation, and interface definition to translate customer requirements into hardware and software specifications.
• Support system development across all lifecycle phases including concept, design, fabrication, test, installation, operation, maintenance, and disposal.
• Ensure the logical and systematic conversion of customer and product requirements into total systems solutions that account for technical, schedule, and cost constraints.
• Mentor junior engineers and help define best practices for the team.
• Maintain security and compliance throughout the development lifecycle.

What You Must Have:

• Active TS/SCI clearance with Polygraph eligibility.
• Bachelor’s degree in Computer Science, Data Science, or a related field; equivalent experience will be considered.
• 9+ years of experience in computer vision, machine learning, or closely related fields.
• Proficiency in Python and its ecosystem, including frameworks and libraries such as Flask, SQLAlchemy, Boto3, NumPy, and Pillow, as well as deep learning tools such as PyTorch and TensorFlow; experience with Swift (OpenStack client) is also required.
• Proficiency in writing and optimizing SQL queries for data retrieval, analysis, and management.
• Experience with modern computer vision models such as YOLO, Faster R-CNN, and Vision Transformers.
• Familiarity with OpenCV and classical computer vision techniques.
• Strong engineering fundamentals, including experience with Git, Docker, and CI/CD practices.
• Experience with machine learning utilities such as MLflow, Optuna, and DVC.

What Would be Nice to Have:

• Experience supporting government or defense-related programs.
• 5+ years of experience developing Python scripts for data automation, process optimization, and machine learning workflow implementation.
• Knowledge of real-time video analytics, sensor fusion, or 3D perception.
• Experience working within secure or classified development environments.

#LI-CM1

TEGNA is seeking an enterprise-focused technology leader to spearhead the development and implementation of advanced AI solutions. This individual will be responsible for incubating ideas, rapid prototyping and validation of emerging technologies, ensuring concepts are effectively transformed into functional solutions. This position centers on enterprise-wide automation thru Agentic AI, aiming to enhance operations across all business and media workflows.

The ideal candidate will possess substantial technical expertise in AI orchestration, distributed systems, and cloud platforms, along with the ability to lead a small, high-performing team within a dynamic, innovation-driven environment.

Responsibilities

• Lead the "innovation lab" for AI. Design modular AI architectures and execute rapid POCs and pilots to validate technical feasibility.
• Lead, mentor, and grow a specialized team of AI engineers. Provide technical guidance, and champion best practices in a matrixed onshore-offshore model.
• Partner with business stakeholders to translate business needs into technical specifications. Evaluate and recommend new technologies—such as LLMs, orchestration frameworks, and vector databases—ensuring alignment with TEGNA’s enterprise architecture and security policies.
• Oversee the design and maintenance of scalable AI pipelines and shared services (prompt libraries, RAG pipelines). Drive automation in AI ops. Oversee the building of efficient, reusable code and APIs for AI model integration and user interfaces for AI-powered features.

Requirements

• 12-15 years in technology leadership, with 2 years specifically focused on AI/automation strategy, architecture, or platform enablement. Proven track record of delivering impactful AI solutions and managing high-performing engineering teams.
• Deep understanding of Generative AI (LLMs, RAG) and Agentic AI (multi-agent systems, autonomous workflows). Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Expertise in cloud-native AI platforms (Azure OpenAI, AWS Bedrock, or Google Vertex AI). Advanced SQL and strong Python skills (Pandas, PySpark) for data manipulation and pipeline development.
• Experience with API Development (RESTful, GraphQL) and modern JavaScript frameworks (React, Vue.js, or Angular). Proficiency in MLOps, containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform, CloudFormation).
• Strong understanding of Agile methodologies, Jira, and version control (Git). Experience managing the end-to-end lifecycle of multiple AI projects from planning to monitoring.
• Exceptional communication and "storytelling" skills to articulate complex AI concepts to both technical and non-technical audiences.

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related quantitative field. #LI-MS1

Data Scientist - MID

Location: Springfield, VA 

TS/SCI REQUIRED

Position Responsibilities:  

• Support NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned.  
• Refine, enhance and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle.  
• Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Government.  
• Enhance technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization.  
• Conduct extensive collections and analytic modeling, data processing,  

Required Skills. Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, AWS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.  

Data Scientist - MID

Location: Springfield, VA 

TS/SCI REQUIRED

Position Responsibilities:  

• Support NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned.  
• Refine, enhance and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle.  
• Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Government.  
• Enhance technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization.  
• Conduct extensive collections and analytic modeling, data processing,  

Required Skills. Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, AWS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.  

ROLE SUMMARY 

As an Engineer on the Generative & Agentic AI team, you will play a hands-on role in building, deploying, and operating AI capabilities that power Babel Street’s intelligence applications. You will work closely with senior AI leaders, product teams, and engineers to implement generative and agentic AI solutions that support investigative, analytical, and operational workflows across the platform. 

This is an execution-focused role for an engineer with strong foundations in machine learning and generative AI who is excited to work on real-world, mission-driven applications. You will contribute directly to LLM and SLM pipelines, retrieval and grounding systems, agent workflows, and AI-enabled features—while learning how to deliver AI that is safe, reliable, cost-efficient, and production-ready. 

This is a hybrid role to be based out of either our Reston, VA/Washington DC office or our Somerville MA office.

ROLE FOCUS 

This role spans three practical execution areas: 

Generative AI & Model Development 

You will help implement and operate LLM- and SLM-based systems, contributing to prompt development, fine-tuning, evaluation, and inference optimization. You will support retrieval-augmented generation (RAG) pipelines, embeddings, and grounding techniques to ensure AI outputs are accurate, explainable, and aligned with intelligence use cases. 

Agentic AI & Workflow Automation 

You will assist in building and integrating agent-based workflows that automate analytical tasks, connect platform services, and support intelligence applications. This includes implementing agent logic, tool-use patterns, and basic orchestration under the guidance of senior engineers. 

AI Engineering & Production Delivery 

You will help productionize AI capabilities using modern AI SDLC tools and practices, contributing to evaluation, testing, telemetry, and guardrails that reduce hallucinations and ensure safe behavior. You will work within established governance frameworks to ensure AI features are measurable, reliable, and cost-aware. 

KEY RESPONSIBILITIES 

• Implement and maintain LLM and SLM pipelines, including prompt engineering, inference, and evaluation. 

• Support RAG pipelines, embeddings, and retrieval systems used in intelligence applications. 

• Assist in building agent workflows that automate analytical or operational tasks. 

• Write clean, maintainable code (Python or others) to support AI services and integrations. 

• Contribute to AI evaluation, testing, and hallucination-mitigation techniques. 

• Use AI-assisted development tools (e.g., Copilot, Cursor) to improve development velocity and quality. 

• Collaborate with Product and Engineering teams to integrate AI capabilities into user-facing workflows. 

• Follow established AI governance, safety, and cost-optimization practices. 

QUALIFICATIONS 

Required 

• 5+ years of experience in software engineering, machine learning, or applied AI roles. 

• Hands-on experience working with LLMs and/or SLMs, including prompting, inference, or fine-tuning. 

• Experience building or contributing to RAG pipelines, embeddings, or retrieval systems. 

• Familiarity with agent-based systems or workflow automation (academic, professional, or open-source). 

• Strong programming skills in Python; experience with common libraries (PyTorch, TensorFlow, etc.). 

• Solid foundation in machine learning concepts (training, evaluation, overfitting, metrics). 

• Experience using or contributing to modern AI/ML tooling and workflows (ML pipelines, evaluation scripts, model serving). 

• Ability to work in a collaborative, fast-moving, mission-driven environment. 

Preferred 

• Experience applying AI to intelligence, investigative, analytical, or risk-related applications. 

• Familiarity with vector databases, graph databases, or knowledge graphs. 

EDUCATION 

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field required. 
Advanced degree is a plus but not required. 

Benefits at Babel Street (just to name a few...)

• Health Benefits: Babel Street covers 85-100% monthly premium costs for Medical, Dental, Vision, Life & Disability insurances – for you and your family!
• Retirement Plans: Babel Street offers both a Traditional and Roth 401(K) with a very competitive match.
• Unlimited Flexible Leave: We trust our employees to manage their own time and balance their personal and work lives.
• Holidays: Babel Street provides employees with 12 paid Federal Holidays
• Tuition Reimbursement: We are committed to investing in our employees. One way we do that is with our Tuition Reimbursement Program for continuing education.                 

Babel Street is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Further, Babel Street will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co‐worker, Pay Transparency Nondiscrimination. In addition, Babel Street's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request, we will provide you with more information about such accommodations.