Software Engineer Visionist, Inc.Software EngineerAnnapolis Junction, MD$150,000–$190,000 / yearWe embed small engineering teams with analysts to rapidly identify and solve mission capability gaps playing a critical role in defending our nation's cyber infrastructure & providing expertise in malware analysis, attribution, mapping adversarial infrastructure, pen testing, and operational planning. This premier program encompasses traditional software services including Systems Design and Engineering, Database Administration, Data Science and Knowledge Management, Enterprise Risk Management, Integration and Test, as well as Operations and Systems Support.
Distinguished Engineer (Global Network) Capital OneDistinguished Engineer (Global Network)McLean, VirginiaYou will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
Machine Learning Engineer VirtualiticsMachine Learning EngineerDistrict Of Columbia, DCBy identifying risks early, diagnosing root causes, and recommending prioritized actions with transparent, explainable AI, we help organizations move from data complexity to decision advantage. Founded on a decade of Caltech research in partnership with NASA/JPL, we are led by scientists, strategists, and servicemembers united by a single mission: to solve the world's most complex, mission-critical challenges with AI.
Artificial Intelligence & Machine Learning Engineer Booz Allen HamiltonArtificial Intelligence & Machine Learning EngineerArlington, VirginiaAs an experienced AI/ML engineer, you know that modern machine learning requires more than accurate models, it demands strong engineering practices, thoughtful system design, and the ability to build solutions that perform reliably in production. You’ll be part of a talented team of machine learning engineers across the company and collaborate with data engineers, data scientists, software engineers, and product owners to deliver world class solutions.
Distinguished Engineer - Global Payment Network Capital OneDistinguished Engineer - Global Payment NetworkMcLean, VirginiaYou will operate as a trusted advisor for key technologies, platforms and capability domains, creating clear and concise communications, code contributions, blog posts and root cause analysis to share knowledge both inside and outside the organization. You will work alongside a talented team of developers, machine learning experts, product managers, and people leaders using modern AI tools to deliver technical solutions to complex problems.
Distinguished Engineer Capital OneDistinguished EngineerMcLean, VirginiaYou will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
NewSenior Machine Learning Engineer ProtagonistSenior Machine Learning EngineerWashington, DC$95,000–$141,000 / yearOwn production NLP pipelines spanning narrative detection, NER, span classification, stance and characterization analysis, event extraction, deduplication, and knowledge-base entity linking over multi-language, noisy real-world text. Our team is a vibrant mix of communication specialists, data scientists, and subject matter experts with extensive experience across U.S. Government agencies, non-profit organizations, and Fortune 500 companies.
NewDistinguished Engineer (Global Payment Network) Capital OneDistinguished Engineer (Global Payment Network)McLean, VirginiaYou will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. The Global Payment Network (GPN) Technology organization designs, builds, and operates the mission-critical systems and infrastructure that seamlessly power complex money movement across domestic and international rails.
Data Scientist II AxleData Scientist IIRockville, MD$130,000–$145,000 / yearYou will support the full omics data lifecycle across a broad spectrum of modalities, including bulk RNA-seq, single-cell RNA-seq (scRNA-seq), spatial transcriptomics, Digital Spatial Profiling (DSP), whole genome and exome sequencing (WGS/WES), metagenomics, metabolomics, and proteomics, as well as clinical, imaging, and biospecimen data. Multi-Omics Analysis: Support NCI CBIIT labs in their analysis workflows including bulk RNA-seq (QC, DEG, GSEA), single-cell RNA-seq (clustering, UMAP/t-SNE, cell type annotation, DEG), and Digital Spatial Profiling (annotation, QC, normalization, spatial deconvolution, volcano plots, heatmaps).
Staff Product Manager, Post-Order Experience XometryStaff Product Manager, Post-Order ExperienceNorth Bethesda, MD$180,000–$234,000 / yearA critical component of this role is identifying and championing AI-driven business opportunities—leveraging machine learning to predict delays, automate support, and provide smarter, proactive transparency to our customers. Data-Driven Problem Solving: Use a rigorous, analytical approach—leveraging experimentation frameworks and user research—to solve customer pain points and drive improvements in CSAT, NPS, and retention.
NewReinforcement Learning AI Engineer Booz Allen Hamilton Inc.Reinforcement Learning AI EngineerMclean, VA$99,000–$225,000 / yearOnsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Utilize your expertise in AI, data science, and machine learning (ML) engineering to train, test, deploy, and maintain models that learn from data to drive real-world mission critical impact.
Data Scientist MDW AssociatesData ScientistArlington, VAFull timeExperience/Skills:Specialized experience working with programming languages (e.g., Python), business intelligence tools (e.g., Power BI), and analytics platforms (e.g., Databricks).Knowledge and experience in the law enforcement and/or audit industryKnowledge and experience using cloud computing platforms such as AzureKnowledge and experience with relational databases and structured query language (SQL)Experience working with contract, procurement, and accounts payable (AP) data to identify trends, anomalies, and potential risks in support of contract oversight activities. Expert proficiency in common data science tools, including scripted languages (such as SQL, Python, R, and Java Scripts), Integrated Development Environment and analytics platforms, open-source solutions, commercial off-the- shelf tools and hardware-based capabilities to support the data analytic development process and creating models, dashboards, and reports.
Maryland Quantum NEXUS University of MarylandMaryland Quantum NEXUSMarylandBy connecting emerging quantum professionals with applied research, industry, government, and national security partners NEXUS develops workforce-ready professionals to support DARPA’s Quantum Benchmarking Initiative and meet Maryland's growing quantum workforce needs while strengthening the state's leadership in quantum innovation. Organization's Summary Statement: The Applied Research Laboratory for Intelligence & Security (ARLIS) at the University of Maryland is a University-Affiliated Research Center (UARC) dedicated to advancing research, innovation, and technology transition to improve decision making for U.S. national security.
Assistant Research Professor University of MarylandAssistant Research ProfessorMaryland$100,000–$120,000 / yearRequired Application Materials: For full consideration, applicants should submit: 1) a current curriculum vitae; 2) a single letter of intent that a) describes their interest in the position, b) includes a research statement describing their previous experience and future research goals, c) describes their leadership, teaching and mentoring experience and future plans in these areas, and d) includes a statement that details their commitment to promoting diversity, inclusion, and equity in their scholarship, teaching and mentoring activities; and 3) contact information for three references (who will be contacted at a later date). The new Professional Track faculty member will provide leadership in epidemiological study design including observational studies, clinical trials, developing research funding proposals, and building additional capacity with an emphasis on adding novel interdisciplinary partnerships and capacity (e.g., household and community studies, clinical trials, immunology, infectious disease modeling, causal machine learning methods).
Data Science Lead, Personnel Health Research & Data Analytics Fors MarshData Science Lead, Personnel Health Research & Data AnalyticsAlexandria, VA$100,000–$110,000 / yearDesigning analytic solutions to ambiguous research questions and goals that may include techniques such as multi-level modeling (e.g., cross-classified random effects, linear mixed effects), data reduction (e.g., PCA, factor analysis, clustering), predictive model selection (e.g., LASSO, Ridge), natural language processing, and/or machine learning techniques. Oversee large, complex project to include developing task plans and timelines, implementing scope and financial controls, aligning staffing resources to project technical requirements, and ensure rigorous and timely delivery of all deliverables.
Product Manager VivSoft TechnologiesProduct ManagerSpringfield, VAJob Responsibilities: • Translate mission and user needs into product vision, strategy, and prioritized roadmaps for AI/ML capabilities• Analyze large and complex datasets to identify trends, patterns, and opportunities to enhance mission outcomes• Provide strategic insight on the application of industry best practices and emerging AI technologies• Collaborate with data scientists and engineers to design, develop, and deploy machine learning products• Support the full product lifecycle from concept and requirements definition through deployment and performance monitoring• Serve as the primary interface between stakeholders, users, and development teams• Lead or support strategic planning sessions, design reviews, and product demonstrations• Monitor product performance metrics and recommend enhancements to improve effectiveness• Evaluate operational baselines and recommend data-driven improvements• Communicate product vision, progress, and outcomes to technical and non-technical stakeholders• Stay current on AI/ML trends, tools, and methodologies and apply them to mission challenges• Support cross-functional collaboration across program, engineering, and mission teams. Position Title: Product Manager/Data Science Security Clearance: TS/SCI Work Location : Onsite, Springfield, VA Type: Full-Time About VivSoft: VivSoft is a mission-driven technology company specializing in Cloud, DevSecOps, Artificial Intelligence, and Digital Experience.
LLMOps Engineer SteampunkLLMOps EngineerMcLean, Virginia$115,000–$145,000 / yearBachelor’s or Master’s degree in Computer Science, Data Engineering, Machine Learning, or a related field and 5+ years of experience; OR Master’s degree in Computer Science, Data Engineering, Machine Learning, or a related field and 3+ years of experience. The LLMOps Engineer will work closely with AI Product Engineers, Data Scientists, and senior LLMOps staff to support the deployment, monitoring, and continuous improvement of LLM-based systems.
Data Scientist (AI/ML) NoblisData Scientist (AI/ML)Chantilly, Virginia$90,700–$141,775 / yearFull timeCompensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The ideal candidate will have experience analyzing cyber data and applying data science methodologies to solve complex customer problems, with strong proficiency in Python and experience working with modern AI/ML technologies and cloud-based environments.
NewData Scientist - TS/SCI with Poly Macpower Digital Assets Edge Private LimitedData Scientist - TS/SCI with PolyFort Meade, MD$160,000–$185,000 / yearPosition Responsibilities: A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows. Required Degree and Experience: Bachelor's degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science) + 7 years of experience, Master's Degree + 5 years of experience, or PhD + 2 years of experience.
Data Scientist, Senior Booz Allen HamiltonData Scientist, SeniorUsa, District of ColumbiaBachelor’s degree and 8+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing, or 12+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing in lieu of a degree. 5+ years of experience building advanced analytics and AI/ML models, particularly tools leveraging LLMs or agentic AI, including data retrieval and cleaning, modeling, accuracy evaluation and testing, and visualization.