6 software developer 2 jobs found in McLean, VA

Summary The Policy & Capabilities (PC) Directorate ensures the IC is best postured for the threats and challenges of an uncertain future, through strategy, policy, and capabilities development. PC is comprised of the Strategic Capabilities Office (SCO) and Policy Strategy and Accountability (PSA) Office. Learn more about this agency This job is open to The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Clarification from the agency Open to current and former Federal employees with competitive or excepted status; and all U.S. Citizens. Former members of the Peace Corps may be considered for ODNI employment only if five full years have elapsed since separation from the Peace Corps. Duties ODNI's PC Directorate is squarely focused on winning the geostrategic competition to secure America's future. PC establishes the IC's strategic roadmap, develops requisite IC policies and drives technology capabilities...

Senior 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. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In 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...

Senior Machine Learning Engineer - Intelligent Foundations and Experiences (IFX) 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. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:...

Location: Anywhere in Country At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Manager - AI Safety and Trust Architect The opportunity We're hiring an experienced AI Safety Architect that is an expert in the modern in AI explainability, Formal Methods and complex system behaviors. Knowledge of the use of causal methods, process calculus, mechanistic concept activation and formal methods used in the development of AI behavioral safety. The successful candidate should have experience in the emerging area of AI behavioral safety. The candidate should thrive in fast-paced environments and are passionate about enabling scalable AI solutions. Your key responsibilities Develop effective AI Safety designs for implementation into trust and assurance frameworks for enterprise AI...

Senior Lead, Machine Learning (GenAI, Python, AWS) As a Capital One Senior Lead Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design , develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Operations, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build,...

Lead AI Engineer (MLX) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses...