NewStaff Engineer (Remote - Eligible) Capital OneStaff Engineer (Remote - Eligible)McLean, MassachusettsRemoteWe develop advanced, data-driven tools that leverage machine learning and AI capabilities to proactively prevent risks and automatically identify potential issues before they can harm our business, customers, or communities. You are expected to dive deep into the codebase, write high-quality production code, actively participate in complex system design reviews, and mentor engineers through practical, on-the-ground technical leadership.
Senior Data Scientist, Costing XometrySenior Data Scientist, CostingNorth Bethesda, MD$140,000–$182,000 / yearThe estimated base salary range for new hires into this role is $140,000-$182,000 annually (+ commission OR + annual bonus) depending on factors such as job-related skills, relevant experience, and location. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
NewSolution Architect AsurionSolution ArchitectSterling, VirginiaApplication Architecture & Systems Design: Expertise in designing scalable, secure, resilient, and highly available distributed systems, including application decomposition, domain-driven design, integration patterns, and modern architectural styles such as microservices and event-driven architectures. Artificial Intelligence & Machine Learning: Strong understanding of AI/ML concepts, including supervised and unsupervised learning, deep learning, Generative AI, Large Language Models (LLMs), embeddings, vector databases, Retrieval-Augmented Generation (RAG), prompt engineering, AI orchestration, model evaluation, and AI governance.
AI Architect VTGAI ArchitectChantilly, VirginiaFull timeThis role requires deep expertise in modern AI/ML architectures, including agentic AI systems, large language models (LLMs), autonomous workflows, AI evaluation frameworks, and production-grade machine learning operations (MLOps). The ideal candidate is both technically exceptional and customer-facing — capable of advising senior leadership, engaging directly with government and commercial stakeholders, and serving as a trusted authority on emerging AI technologies and best practices.
NewArtificial Intelligence Subject Matter Expert (CBP) Agile DefenseArtificial Intelligence Subject Matter Expert (CBP)Reston, Virginia$180,000–$235,000 / yearYou will design, test, and align AI and machine learning models so they perform reliably in a professional operational setting, working alongside program leadership, engineering teams, and the security staff who have to sign off on what you build before it runs against real data. Title: Artificial Intelligence Subject Matter Expert (AI SME) Clearance: Active Top Secret with SCI eligibility, ability to obtain and maintain a CBP Background Investigation (CBP BI) and EOD, active BI strongly preferred.
Cyber Security Development Engineer - JobID-0255 Innovative Defense TechnologiesCyber Security Development Engineer - JobID-0255Arlington, Virginia$90,000–$184,000 / yearThe Cyber Security Development Engineer is a highly technical role focused on ensuring the security and resilience of our software and systems and will be responsible for designing, building, and maintaining secure systems, applications, and infrastructure to protect against cyber threats. About The Role: Innovative Defense Technologies (IDT), a leading defense technology company, is seeking a Cyber Security Development Engineer to be part of our Advanced Capabilities team and based out of our Arlington, VA location.
AI Engineer Booz Allen HamiltonAI EngineerArlington, VirginiaYou’ll grow within a talented team of machine learning engineers across the company and collaborate with senior architects, platform leads, and business stakeholders to deliver world-class solutions to solve meaningful problems across enterprise and mission environments. We need your technical knowledge and desire to problem-solve to support to help architect, build, and deploy intelligent, agentic solutions that work across legacy infrastructure, modern platforms, and various stakeholder needs.
NewRapid Prototyping Mission Technology Lead Booz Allen HamiltonRapid Prototyping Mission Technology LeadMcLean, District of Columbia$112,800–$257,000 / yearYou’ll be part of a talented team of machine learning engineers across the company and collaborate with data engineers and product owners to deliver world class solutions to develop cutting edge AI agents capable of solving our military's most challenging missions. Onsite : 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.
Staff AI/ML Engineer Dragos IncStaff AI/ML EngineerDCRemoteWorking closely with Data Engineers and product teams, you''ll build and deploy AI/ML capabilities that enhance threat detection, automate security analysis, and deliver actionable intelligence for Industrial Control System (ICS) and Extended Operational Technology (xOT) cybersecurity applications. Build and optimize ML model architectures for ICS/OT cybersecurity use cases, including threat detection, asset classification, behavioral analysis, anomaly detection, and natural language processing systems.
Expert Data Product (Semantic Layer) Nestle SAExpert Data Product (Semantic Layer)Arlington, VA$140,000–$200,000 / yearBachelor''s degree in Computer Science, Information Systems, Business, or a related field 7+ years of experience in data analytics, BI, semantic modeling, or data products 5+ years of hands-on experience with modern data and BI platforms such as Snowflake, Databricks, Power BI, Tableau, and dbt or similar semantic technologies 3+ years of experience building semantic layers, enterprise KPI and metrics frameworks, and governed data models. You''ll define the business-friendly data model that powers trusted analytics and AI-ready data consumption across Nestlé USA, turning business definitions, KPIs, and governance requirements into a scalable semantic layer that fuels reporting, self-service analytics, machine learning, and Generative AI.
Senior AI/ML Engineer Dragos IncSenior AI/ML EngineerDCRemoteWorking closely with Data Engineers and product teams, you''ll build and deploy AI/ML capabilities that enhance threat detection, automate security analysis, and deliver actionable intelligence for Industrial Control System (ICS) and Extended Operational Technology (xOT) cybersecurity applications. Build and optimize ML model architectures for ICS/xOT cybersecurity use cases, including threat detection, asset classification, behavioral analysis, anomaly detection, and natural language processing systems.
AI & ML Engineer Booz Allen Hamilton Inc.AI & ML EngineerChantilly, VA$99,000–$225,000 / yearYou'll be part of a large community of machine learning engineers across the company and collaborate with users, software engineers, and data scientists to deliver world-class solutions to develop and deploy novel AI and ML solutions to tackle novel cyber challenges. Onsite: 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.
Ai/Ml Engineer, Mid Booz Allen Hamilton Inc.Ai/Ml Engineer, MidChantilly, VA$77,600–$176,000 / yearYou'll grow within a talented team of machine learning engineers across the company and collaborate with data engineers, software developers, data scientists, and mission stakeholders to deliver world-class solutions to creatively apply AI/ML solutions to solve cutting edge problems, triage large datasets. Onsite: 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.
AI/ML Engineer, Mid Booz Allen HamiltonAI/ML Engineer, MidChantilly, VirginiaYou’ll grow within a talented team of machine learning engineers across the company and collaborate with data engineers, software developers, data scientists, and mission stakeholders to deliver world-class solutions to creatively apply AI/ML solutions to solve cutting edge problems, triage large datasets. Onsite : 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.
AI/ML Engineer, Senior NoblisAI/ML Engineer, SeniorChantilly, Virginia$160,800–$251,325 / 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. Model Development & Deployment Design, develop, and containerize machine learning (ML) models using modern frameworks and tools, including PyTorch, Ray, Docker, and FastAPI.
Air Force A10 AI/ML Engineer / Data Scientist NoblisAir Force A10 AI/ML Engineer / Data ScientistArlington, Virginia$132,900–$207,750 / 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. Model Development & Deployment Design, develop, and containerize machine learning (ML) models using modern frameworks and tools, including PyTorch, Ray, Docker, and FastAPI.
Lead AI Engineer (Vision model customization, VLM) Capital One Financial CorpLead AI Engineer (Vision model customization, VLM)McLean, VA$197,300–$225,100 / yearBasic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
CTIO AI Engineering Manager PricewaterhouseCoopers LLPCTIO AI Engineering ManagerWashington, DC$73,500–$212,280 / yearThose in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy .
Senior Associate, Data Science Capital OneSenior Associate, Data ScienceMcLean, 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 2 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.
Principal Quantitative Analyst - Global Finance Capital OnePrincipal Quantitative Analyst - Global FinanceMcLean, VirginiaCurrently has, or is in the process of obtaining one of the following with an exception that the required degree will be obtained on or before the scheduled start date: A Master’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience in quantitative analytics. As a Quantitative Analyst 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 cloud 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.