Absentee & Early Vote Specialist CatalistAbsentee & Early Vote SpecialistWashington, District of ColumbiaAs an Absentee and Early Vote Specialist, you will have a leading role in providing data sets and solutions for use by a wide array of Catalist clients and partners, as well as assisting or leading efforts to manage cross-departmental projects. Catalist is home to a dedicated, creative team of technologists, data scientists, and campaign experts committed to using our talents and technology to nurture a vibrant and growing progressive community.
Software Quality Assurance Engineer CatalistSoftware Quality Assurance EngineerWashington, District of ColumbiaIn this role, you’ll work closely with developers, product managers, and users to define testing strategies, design automated testing frameworks, and ensure high reliability across our software products. Catalist is home to a dedicated, creative team of technologists, data scientists, and campaign experts committed to using our talents and technology to nurture a vibrant and growing progressive community.
Senior AI Software Engineer-Ts/Sci Clearances (CI Poly Preferred) CredenceSenior AI Software Engineer-Ts/Sci Clearances (CI Poly Preferred)Herndon, VA$155,000–$200,000 / yearYou will collaborate with cross-functional engineering, data, cloud, and stakeholder teams to deliver scalable, secure, and mission-focused AI capabilities for federal clients, while helping guide technical direction, strengthen engineering practices, and mentor other engineers. Senior Software Engineering Leadership Apply strong software engineering principles to design maintainable, testable, and scalable systems; conduct code reviews, establish technical patterns, and leverage AI-assisted development tools responsibly to accelerate delivery.
Senior AI Software Engineer-TS/SCI clearances (CI poly preferred) CredenceSenior AI Software Engineer-TS/SCI clearances (CI poly preferred)Herndon, VirginiaYou will collaborate with cross-functional engineering, data, cloud, and stakeholder teams to deliver scalable, secure, and mission-focused AI capabilities for federal clients, while helping guide technical direction, strengthen engineering practices, and mentor other engineers. Experience designing or implementing agentic AI solutions using frameworks or platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, or LangGraph.
NewAI/ML Automation Engineer Argo Cyber SystemsAI/ML Automation EngineerArlington, VAFull timeCitizenshipActive Secret Security ClearanceAbility to obtain DHS Entry on Duty (EOD) SuitabilityBachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, or related STEM fieldFive (5) or more years of professional experience developing AI, ML, automation, or data engineering solutionsStrong Python development experienceExperience with Databricks AI PlatformExperience implementing machine learning pipelinesExperience integrating Large Language Models (LLMs)Experience with Amazon Bedrock and AWS AI servicesExperience building REST APIs and cloud-native applicationsExperience with Git, CI/CD pipelines, and software development best practicesStrong analytical, problem-solving, and communication skillsPreferred QualificationsActive TS/SCI ClearanceExperience supporting DHS, CISA, NSA, FBI, DoD, or Intelligence Community programsExperience implementing Generative AI solutionsExperience developing autonomous AI agentsExperience building RAG architecturesExperience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar AI orchestration frameworksExperience with vector databases (Pinecone, FAISS, ChromaDB, OpenSearch Vector Engine)Experience supporting malware analysis, digital forensics, or threat intelligenceExperience implementing MLOps pipelinesExperience deploying AI into production cloud environmentsDesired Technical SkillsArtificial IntelligenceLarge Language Models (LLMs)Generative AIRetrieval-Augmented Generation (RAG)Prompt EngineeringAI AgentsAgentic AIModel Fine-TuningReinforcement LearningNatural Language Processing (NLP)Embedding ModelsMachine LearningTensorFlowPyTorchScikit-learnXGBoostML PipelinesFeature EngineeringModel EvaluationModel DeploymentCloudAWSAmazon BedrockSageMakerLambdaECSEKSS3IAMCloudWatchDatabricksData EngineeringSparkKafkaKinesisAirflowPrefectSQLNoSQLData LakesETL/ELTVector DatabasesSoftware EngineeringPythonFastAPIREST APIsDockerKubernetesGitGitHub ActionsJenkinsTerraformCybersecurityMalware AnalysisThreat IntelligenceIncident ResponseDigital ForensicsMITRE ATT&CKDetection EngineeringSIEM IntegrationSecurity AutomationDesired CertificationsOne or more of the following certifications are highly desirable:AWS Certified Machine Learning – SpecialtyAWS Certified AI PractitionerAWS Solutions Architect – ProfessionalDatabricks Certified Machine Learning ProfessionalMicrosoft Azure AI Engineer AssociateGoogle Professional Machine Learning EngineerCSSLPDoD 8140 IAT Level IIICISSP (Preferred)GIAC Certified Forensic Analyst (GCFA) (Preferred)What Success Looks LikeWithin your first year you will:Deploy secure AI capabilities supporting DHS cyber operations. AI/ML Automation Engineer Location: Government Facility (Hybrid/Onsite)Security Clearance: Active Secret Clearance Required (TS/SCI Preferred)Customer: U.S. Department of Homeland Security (DHS)Employment Type: Full-TimeAbout Argo CyberArgo Cyber Systems is a Service-Disabled Veteran-Owned Small Business (SDVOSB) delivering advanced cybersecurity engineering, artificial intelligence, cloud security, digital forensics, threat intelligence, and cyber modernization services to Federal agencies and critical infrastructure organizations.
NewSr. Staff Applied Researcher Capital OneSr. Staff Applied ResearcherMcLean, VirginiaBasic Qualifications: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research. Key Responsibilities: Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money.
Software Engineer Senior Verite Group, Inc.Software Engineer SeniorHerndon, VAThis is hands-on engineering work - you will be designing and building Python-based software tools that support optical signature modeling, spectral data analysis, and machine learning-enabled sensor workflows. 9+ years of professional software development experience, with demonstrated focus on scientific computing, algorithm development, data processing, or related technical domains or 7+ years of experience with a Masters degree.
Manager, Data Engineer (Python/PySpark/AWS) Infinitive IncManager, Data Engineer (Python/PySpark/AWS)Ashburn, VA$140,000–$169,000 / yearYour expertise in Python, PySpark, ETL processes, CI/CD (Jenkins or GitHub), and experience with both streaming and batch workflows will be essential in ensuring the efficient flow and processing of data to support our clients. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.”.
Senior Manager, Data Analysis - People Analytics Capital OneSenior Manager, Data Analysis - People AnalyticsMcLean, VirginiaCurrently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date. With a network of hundreds of Data Analysts, Quants, and Data Scientists, challenging projects with an eye on the bottom line and a focus on work/life balance, we’ve created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential.
NewSenior Applied Scientist , Research and Applied Science Team, PXT Senior Talent and Transformation Amazon.com IncSenior Applied Scientist , Research and Applied Science Team, PXT Senior Talent and TransformationArlington, VAYou might spend the morning working through a thorny implementation problem, figuring out how to encode a psychometric scoring model into a pipeline that holds up under the messiness of real production data, debugging an LLM evaluation harness that is behaving inconsistently across assessment scenarios, or refactoring a causal estimation component so that another team can run it without calling you first. You will work alongside Senior and Principal Research Scientists, an Amazon Scholar, Product Management, and a Senior Applied Scientist who bring deep expertise in behavioral science, psychometrics, and causal inference, and you will be the driving force behind turning that expertise into working, deployable systems for our Amazon executives.
Vectra Detection Engineer GuidePoint SecurityVectra Detection EngineerChantilly, VAWith more than 800 vetted technology vendor partnerships and deep practitioner expertise across every major cybersecurity domain, GuidePoint serves more than half of the U.S. Government's cabinet-level agencies across Civilian, DoD, and Intelligence Community segments, as well as Federal System Integrators and major defense prime contractors. By taking a three-tiered, holistic approach for evaluating security posture and ecosystems, GuidePoint enables some of the nation's top organizations, such as Fortune 500 companies and U.S. government agencies, to identify threats, optimize resources and integrate best-fit solutions that mitigate risk.
Hyperspectral Image Scientist Leidos Holdings Inc.Hyperspectral Image ScientistSpringfield, VA$92,300–$166,850 / yearThe Senior Hyperspectral Image Scientist will provide subject matter expertise in spectral data processing, algorithm development, image exploitation, and applied remote sensing science. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Senior Hyperspectral Image Scientist Leidos Holdings IncSenior Hyperspectral Image ScientistSpringfield, VA$92,300–$166,850 / yearThe Senior Hyperspectral Image Scientist will provide subject matter expertise in spectral data processing, algorithm development, image exploitation, and applied remote sensing science. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
NewGeneral Engineer/Physical Scientist US Department of EnergyGeneral Engineer/Physical ScientistWashington, DC$90,479–$203,388 / yearSpecified academic courses -- Successful completion of at least 60 semester hours of courses in the physical, mathematical, and engineering sciences and that included the courses specified in the basic requirements under paragraph A. The courses must be fully acceptable toward meeting the requirements of an engineering program as described in paragraph A. Related curriculum -- Successful completion of a curriculum leading to a bachelors degree in an appropriate scientific field, e.g., engineering technology, physics, chemistry, architecture, computer science, mathematics, hydrology, or geology, may be accepted in lieu of a bachelors degree in engineering, provided the applicant has had at least 1 year of professional engineering experience acquired under professional engineering supervision and guidance. EN-03: To meet this requirement an applicant must have one year of experience, at the next lower level Federal service, i.e., EN-02 pay band or GS-11 level, applying engineering or physical science principles, concepts, theories, and practices to participate in technical assessments, audits or surveillances; assist in preparing portions of technical reports, briefing materials or other documentation documenting performance relative to safe and efficient operations or documenting operational incidents, accidents, malfunctions or non-routine operations; and evaluate compliance with health and safety requirements of Nuclear and/or Non-Nuclear facilities.
NewAI/ML Research Scientist Lincoln LaboratoryAI/ML Research ScientistMD$145,200–$170,000 / yearA hallmark of our work is a focus on operational relevance: we design and evaluate AI/ML systems using realistic datasets and metrics, and we partner directly with intelligence analysts and cyber operators to ensure rapid transition of our technologies into real‑world, mission‑critical systems. Stakeholder communication - strong written and oral skills for prepping technical briefings, composing white-papers, demo presentations, and funding proposals; able to convey complex research outcomes to sponsors, senior leadership, and external partners.
Lead Machine Learning Engineer Capital OneLead Machine Learning EngineerMcLean, MassachusettsIn this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI.
NewSenior Associate, Product Management - Card Technology Capital One Financial CorpSenior Associate, Product Management - Card TechnologyMcLean, VA$101,100–$115,400 / yearYou'll influence architecture, align stakeholders across product, engineering, data, and business organizations, and deliver a resilient, scalable data ecosystem that supports future growth while maintaining the trust and reliability our partners depend on. Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology.
Software Engineer Lead 670 Freedom Technology Solutions GroupSoftware Engineer Lead 670Herndon, VirginiaFreedom Technology Solutions Group is currently seeking a Software Engineer Lead to 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, with a focus on artificial intelligence and machine learning (AI/ML). You will operate at the intersection of big data, distributed systems, and mission analytics, building core platform capabilities such as ingest pipelines, text extraction services, and search infrastructure that directly enable downstream analytics, AI, and operational workflows.
AI Integration Engineer CitianAI Integration EngineerWashingtonOur engineers and data scientists apply the latest in emerging tech, Artificial Intelligence, and Machine Learning to build smarter, more advanced tools for our diverse client base. Meaningful exposure to civil engineering, transportation infrastructure, or geospatial data, sufficient to critically evaluate AI outputs in these domains and communicate credibly with domain experts.
NewLead Software Engineer - MLOps Capital OneLead Software Engineer - MLOpsMcLean, VirginiaDesign, build, and optimize automated data pipelines, model serving platforms, and continuous monitoring systems for high-stakes applications like real-time account takeover fraud detection and AI-driven vulnerability management. As a Capital One Lead Software Engineer, you’ll lead engineering teams in building scalable ML infrastructure, productionizing data pipelines, and driving a major technology transformation within Capital One.