Material Sciences - Graduates - AI Training - Washington DC, US Prolific Academic LtdMaterial Sciences - Graduates - AI Training - Washington DC, USWashington, DCWe've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. We're looking for Materials Science Specialists to join our Expert Network to help train and evaluate cutting-edge AI models using real scientific expertise.
AI Engineer - SME GormatAI Engineer - SMEAnnapolis Junction, MDFull timeThis role is intended for a hands-on technical professional who understands how modern AI systems are built and can help guide teams developing practical solutions using large language models, agentic workflows, orchestration frameworks, and supporting software infrastructure. What Required Skills You'll Bring:Min 18 years with Bachelors, 15 years with Masters degree in Computer Science, Engineering, Data Science, Mathematics, or related field.
Computer Sciences - Graduates - AI Training - Washington DC, US Prolific Academic LtdComputer Sciences - Graduates - AI Training - Washington DC, USWashington, DCWe've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
Lead Machine Learning Engineer (Finance Tech - AI Enablement) Capital One Financial CorpLead Machine Learning Engineer (Finance Tech - AI Enablement)McLean, VA$197,300–$225,100 / yearIn 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.
AI Engineering Sr Director BLEND360AI Engineering Sr DirectorColumbia, MD$200,000–$290,000 / yearDeep and practical technical expertise in Generative AI (GenAI) technologies, including: Large Language Models (LLMs): Architecture (e.g., Transformers), fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and deployment strategies. Strategic Client Engagement & Technical Advisory: Serve as a trusted technical advisor to national and international clients, guiding them from strategic planning stages through to the pilot and full-scale implementation of complex AI and GenAI projects.
Sr. Lead AI Engineer (FM Hosting, LLM Inference) Capital One Financial CorpSr. Lead AI Engineer (FM Hosting, LLM Inference)McLean, VA$229,900–$262,400 / yearBasic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 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 4 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.
Senior Lead AI Engineer (FM Hosting, LLM Inference) Capital One Financial CorpSenior Lead AI Engineer (FM Hosting, LLM Inference)McLean, VA$229,900–$262,400 / yearBasic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 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 4 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.
Senior Lead AI Engineer (GenAI Platform Services) Capital One Financial CorpSenior Lead AI Engineer (GenAI Platform Services)McLean, VA$229,900–$262,400 / yearBasic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 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 4 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.
Lead AI Engineer Capital One Financial CorpLead AI EngineerMcLean, VA$197,300–$225,100 / yearBasic Qualifications: Bachelors 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 Masters 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. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer.
Senior Lead AI Engineer (MLXT) Capital OneSenior Lead AI Engineer (MLXT)McLean, VirginiaBachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 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 4 years of experience developing AI and ML algorithms or technologies. You will play a pivotal role in modernizing our core Analyst & AIML workflow orchestration layer and user interface, integrating frontier generative AI capabilities and self-serve tooling to enable no-code/low-code, well-governed model development for business domain experts.
Manager, Applied AI Strategy And Operations ClouderaManager, Applied AI Strategy And OperationsMclean, VA$144,000–$180,000 / yearAccount Prioritization & Use Case Frameworks: Structure analytical frameworks grounded in real customer signal-joining technical discovery sessions, reviewing triage outcomes, and working directly with field engineering teams to filter and isolate high-ROI Private AI workloads. Proven ability to communicate and build trust with stakeholders at all levels-including C-suite executives, technical engineering leaders, and regional sales VPs-by turning granular data and research into actionable insight and a well-structured executive storyline.
Lead AI Engineer (AI Foundations) Capital OneLead AI Engineer (AI Foundations)McLean, VirginiaBachelor'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. 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.
Sr. Lead AI Engineer Capital OneSr. Lead AI EngineerMcLean, VirginiaBachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 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 4 years of experience developing AI and ML algorithms or technologies. 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.
Artificial Intelligence (AI) Engineer AGE SolutionsArtificial Intelligence (AI) EngineerFort Meade, MDAGE Solutions is seeking a highly motivated Artificial Intelligence (AI) Engineer to support our DoD customer's Emerging Technology Mission Assurance initiatives by researching, evaluating, engineering, and integrating Artificial Intelligence (AI), Machine Learning (ML), Generative AI, and other emerging technologies that strengthen Department of Defense cybersecurity and enterprise capabilities. Research, evaluate, and assess emerging technologies, including Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs), Generative AI, cloud computing, cybersecurity, identity management, networking, and advanced computing platforms.
Manager, Applied AI Strategy and Operations Cloudera IncManager, Applied AI Strategy and OperationsWashington, WA$144,000–$180,000 / yearAccount Prioritization & Use Case Frameworks: Structure analytical frameworks grounded in real customer signal-joining technical discovery sessions, reviewing triage outcomes, and working directly with field engineering teams to filter and isolate high-ROI Private AI workloads. Proven ability to communicate and build trust with stakeholders at all levels-including C-suite executives, technical engineering leaders, and regional sales VPs-by turning granular data and research into actionable insight and a well-structured executive storyline.
Senior Lead AI Engineer (GenAI Platform, Agentic Infrastructure) Capital One Financial CorpSenior Lead AI Engineer (GenAI Platform, Agentic Infrastructure)McLean, VA$229,900–$262,400 / yearBasic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 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 4 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.
Senior Lead AI Engineer Capital One Financial CorpSenior Lead AI EngineerMcLean, VA$229,900–$262,400 / yearBasic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 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 4 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.
Distinguished AI Engineer Capital One Financial CorpDistinguished AI EngineerMcLean, VA$269,100–$307,200 / yearBasic Qualifications: Bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Masters degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer.
Lead AI Engineer (FM Hosting, LLM Inference) Capital One Financial CorpLead AI Engineer (FM Hosting, LLM Inference)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.
AI Security Engineer - Mid-Atlantic region Remote in VA, MD, PA, NC, DE, NJ, or DC Guidepoint Security LLCAI Security Engineer - Mid-Atlantic region Remote in VA, MD, PA, NC, DE, NJ, or DCVARemoteBy 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. AI Security Architecture & Assessment: Advise on and assess the security posture of AI/ML systems, including LLMs, GenAI pipelines, and model serving infrastructure - identifying vulnerabilities, attack surfaces, and gaps against industry frameworks (e.g., OWASP LLM Top 10, MITRE ATLAS).