Senior Machine Learning Engineer AHU Technologies IncSenior Machine Learning EngineerWashington, DCRemoteFull timeOwn retrieval/ranking: candidate generation, embeddings, two-tower models, features, and serving quality. Two-tower models, embedding retrieval, candidate generation, ranking, and online/offline evaluation.
Senior Ai/Ml Engineer - Ts/Sci Parsons Commercial Technology Group Inc.Senior Ai/Ml Engineer - Ts/SciColumbia, MD$112,200–$196,400 / yearExperience working with modern tools for big data processing and scalable machine learning (e.g., AWS, GCP, Kafka, Apache Spark, Hadoop, SQL, NoSQL). What Required Skills You'll Bring: B.S. in Computer Science, Cybersecurity, Computer Engineering, Data Science, or related discipline.
NewAI Builder - New York City NY AHU Technologies IncAI Builder - New York City NYWashington, DCThe ideal candidate will combine machine learning, software engineering, and product thinking to build reliable AI solutions that solve complex business problems. We are looking for an AI Builder to lead applied AI initiatives and develop enterprise-grade AI agent systems.
Sr Data Consultant System OneSr Data ConsultantVienna, VirginiaCreate effective data visualizations and dashboards utilizing PowerBI, Plotly, or similar tools to communicate insights clearly. Design, build, and optimize database systems; perform data mining and data modeling to enhance analytical capabilities.
Lead Machine Learning Engineer (Manager IC) Capital OneLead Machine Learning Engineer (Manager IC)McLean, VirginiaOur work centers on self-supervised learning for transformer architectures — pretraining on Capital One's rich, large-scale behavioral data to learn representations that power applications across use cases such as fraud, marketing, and servicing . You'll participate in the detailed technical design, development, and implementation of these systems, spanning model architecture, large-scale training and representation learning, and the engineering required to serve models reliably in production.
Software Engineer CymertekSoftware EngineerChantilly, VirginiaComputer Science, Software Engineering, Information Technology, Computer Engineering, Electrical Engineering, Data Science, Cybersecurity, Mathematics, Artificial Intelligence, Machine Learning, Robotics, Game Development, Information Systems, Applied Computing, Computational Science, Human-Computer Interaction, Network Engineering, etc. Software Developer, Application Developer, Full Stack Developer, Backend Developer, Frontend Developer, Systems Developer, Web Developer, Mobile Application Developer, Embedded Software Engineer, Cloud Software Engineer, DevOps Engineer, QA Engineer, Test Automation Engineer, Game Developer, Data Engineer, Machine Learning Engineer, AI Engineer, Robotics Software Engineer, etc.
Lead Machine Learning Engineer (Finance Tech - AI Enablement) Capital OneLead Machine Learning Engineer (Finance Tech - AI Enablement)McLean, 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.
Data Scientist NT ConceptsData ScientistHerndon, VAWe deliver end-to-end data and technology solutions that advance the modernization, transformation, and automation of the national security mission—solutions with real impact developed in a strong engineering culture that encourages technical growth, leadership, and creative “big idea” problem-solving. Working within a cross-functional team and reporting to a technical lead, you will operate across the machine learning development lifecycle, from data curation and synthetic data generation to model training, evaluation, and delivery.
Director, Data Scientist - Generative AI Systems Capital OneDirector, Data Scientist - Generative AI SystemsMcLean, VirginiaAs a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 9 years of experience performing data analytics.
Senior Full-Stack AI Application Engineer - Ios & Visionos Emphasis AST Space MobileSenior Full-Stack AI Application Engineer - Ios & Visionos EmphasisLanham, MDThis role focuses on building intuitive, high‑performance user experiences that leverage computer vision, machine learning, and immersive 3D interfaces to support engineering, manufacturing, and operational workflows. Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by today's five billion mobile subscribers and finally bring broadband to the billions who remain unconnected.
NewCrowdStrike Engineer Contact Government Services, LLCCrowdStrike EngineerWashington, DCMaintenance and configuration tasks for the EDR/NGAV platform may include but shall not be limited to: Assisting with troubleshooting automated deployment installation issues; Administering and maintaining the cloud platform, including user roles, policies, dynamic groupings, and other configuration items; Creating, updating, enabling and disabling policies as required, including: EDR sensor update policies, content update policies, next generation antivirus (NGAV) prevention policies, Identity Protection policies, USB device policies, endpoint response policies, firewall policies, Falcon icon policies, and host retention policies; Configuring and deploying any additional EDR/NGAV feature modules purchased by EOUSA; Creating dashboards and reports, as directed; Troubleshooting data integrity issues in the platform. Skills and attributes for success: Architecting, configuring, operating, and maintaining EOUSA’s EDR/NGAV platforms in areas such as protection suite, which covers approximately 3,000 Windows/Linux Servers and Cloud Workloads, and approximately 18,000 Internal Workstations, including up to 3,000 Virtual Desktop (VDI) workstations.
NewSenior Machine Learning Engineer, Radar & Remote Sensing NT ConceptsSenior Machine Learning Engineer, Radar & Remote SensingChantilly, VARemote$131,376–$243,984 / yearWe deliver end-to-end data and technology solutions that advance the modernization, transformation, and automation of the national security mission—solutions with real impact developed in a strong engineering culture that encourages technical growth, leadership, and creative “big idea” problem-solving. The compensation offered to a successful candidate within this range will be based on legitimate, job-related factors, including (but not limited to) the candidate's work location, education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements.
Sr. Distinguished Machine Learning Engineer (Remote-Eligible) Capital OneSr. Distinguished Machine Learning Engineer (Remote-Eligible)McLean, VirginiaRemoteDesign, build and maintain robust ML infrastructure and pipelines to support end-to-end workflows including feature extraction, model training, testing, guardrails, model evaluation, deployment, and both real-time and batch inference - ensuring high performance, scalability, and reliability. Define and drive technical strategy and roadmap for our Personalization Platform that powers real-time, personalized product experiences and multi-channel targeted user messaging across all Capital One products and services.
Principal Associate, Data Scientist - US Card (Generative AI Systems) Capital OnePrincipal Associate, Data Scientist - US Card (Generative AI Systems)McLean, VirginiaCurrently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Sr. Lead Machine Learning Engineer Capital OneSr. Lead Machine Learning EngineerMcLean, VirginiaIn this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
SAR Data Scientist/Imagery Scientist ATR, LLCSAR Data Scientist/Imagery ScientistFalls Church, Virginia$170,000–$190,000 / yearFull timeWe are seeking an experienced SAR Data Scientist/Imagery Scientist to join a high-performing team supporting advanced AI and machine learning initiatives for complex national security and intelligence missions. Experience applying computer vision (CV), machine learning (ML), or deep learning techniques to SAR imagery and geospatial data to support intelligence, defense, or remote sensing applications.
AI Chief Engineer Integrity Defense Solutions IncAI Chief EngineerWashington, DCFull timeQualifications:High energy individual looking for a fast-moving environment with incredible growth opportunity8 years of experience architecting, designing, and developing technology solutions to include proven experience in developing AI solutions for defense or security applications.3 years of experience in AI development, including machine learning, deep learning, natural language processing (NLP), neural networks, computer vision, etc. Demonstrated experience deploying AI solutions within DoD-accredited cloud environments such as IL2/IL4/IL5+ platforms (Azure Government, AWS GovCloud, or Google Cloud).3 years of work experience in a field of endeavor that demonstrates a high level of skill in software systems product development, tool development, software systems testing, or quality assurance.
NewData Center Engineer KBRData Center EngineerLanham, MD$160,000–$195,000 / yearKey responsibilities include: Reviewing current infrastructures, architectures, designs, and operations to identify potential improvements; analyzing, refining, and documenting the requirements for transition from legacy hardware into modern data center infrastructure environment. The candidate will design virtual Infrastructure services to maximize available capacity of physical compute, storage, and network hardware resources and document security, configuration, and performance benchmarks of Infrastructure Services.
AI / Machine Learning Modeler / Engineer - National Capital Region (NCR); Must have an active TS/SCI Clearance with Polygraph Synertex LLCAI / Machine Learning Modeler / Engineer - National Capital Region (NCR); Must have an active TS/SCI Clearance with PolygraphBethesda, MDFull timeREQUIREMENTS:TS/SCI clearance with polygraph required, including additional security screeningsEducation and Experience RequirementsCandidates must meet the following minimum education and relevant experience combinations by level:Entry Level:HS/GED + 6 years experienceAssociate's + 4 years experienceBachelor's + 2 years experienceMaster's degree (experience may be substituted as appropriate)Journeyman Level:HS/GED + 8 years experienceAssociate's + 6 years experienceBachelor's + 4 years experienceMaster's + 2 years experienceSenior Level:HS/GED + 10 years experienceAssociate's + 8 years experienceBachelor's + 6 years experienceMaster's + 4 years experiencePhD + 2 years experienceExpert / Master Level:HS/GED + 12 years experienceAssociate's + 10 years experienceBachelor's + 8 years experienceMaster's + 6 years experiencePhD + 4 years experience Join a mission-driven team advancing government communication capabilities and operational readiness. We are seeking a skilled AI / Machine Learning Modeler / Engineer to support critical government and intelligence programs by developing, deploying, and maintaining advanced machine learning models in production environments.
Distinguished Applied Researcher Capital OneDistinguished Applied ResearcherMcLean, VirginiaBasic Qualifications: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research. Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs.