Jobs at Federal Guardian

This Applied Researcher I role within Capital One's AI Foundations team focuses on developing core Large Language Models and Agentic AI systems to transform banking experiences. The position involves designing, training, and validating foundation models while leveraging technologies like PyTorch and AWS to extract insights from vast datasets. Key responsibilities include collaborating with cross-functional teams to deliver AI-powered products, optimizing model performance for scale, and translating complex research into tangible business solutions. The role appeals to candidates passionate about pushing the boundaries of AI through high-impact research and innovation. It offers the opportunity to work on cutting-edge projects that redefine customer interactions, supported by a culture that values creativity, technical excellence, and ethical AI development.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing and deploying large-scale AI systems to transform customer banking experiences. The position involves partnering with cross-functional teams to build foundation models, leveraging technologies like PyTorch and AWS to extract insights from vast datasets, and translating complex research into tangible business solutions. The role appeals to candidates seeking to work at the forefront of machine learning innovation in a collaborative environment that values ethical AI practices and continuous learning. While the position requires a PhD or equivalent experience, it offers the opportunity to lead impactful research agendas and contribute to scalable, high-performance infrastructure. The job is based in major US hubs including Cambridge, McLean, New York, and San Jose.

The Applied Researcher I role is part of Capital One's AI Foundations team, focusing on developing trustworthy and reliable artificial intelligence systems to transform banking experiences. Key responsibilities include building AI foundation models from design through implementation, leveraging technologies like PyTorch and AWS to extract insights from large datasets, and collaborating with cross-functional teams to deliver high-impact products. The position appeals to candidates passionate about pushing the boundaries of machine learning, offering the opportunity to work on state-of-the-art research with real-world applications. The role supports a culture of innovation and continuous learning, allowing researchers to own their agendas and translate complex technical concepts into tangible business value.

This full-time Lead Machine Learning Engineer role within the Enterprise Platforms Technology team focuses on designing, building, and scaling production-ready machine learning systems for a major financial institution. The position involves collaborating with cross-functional Agile teams to architect ML solutions, develop optimized data pipelines, and ensure high availability and performance of deployed models. Key responsibilities include overseeing model retraining and monitoring, implementing continuous integration and deployment practices, and maintaining strict governance for responsible AI. The role appeals to candidates seeking to apply advanced technical skills in Python, Scala, or Java while working with cloud-based architectures at scale. It offers a dynamic environment for professional growth, the opportunity to lead engineering initiatives, and a collaborative culture centered on innovation and complex problem-solving.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing and deploying large-scale AI systems to transform banking experiences. The position involves partnering with cross-functional teams to build foundation models, leveraging technologies like PyTorch and AWS to extract insights from vast datasets, and translating complex research into tangible business solutions. The role appeals to candidates seeking to work at the forefront of machine learning innovation in a collaborative environment that values creativity, ethical decision-making, and professional growth. The position requires a strong engineering mindset to deliver models at scale and offers the opportunity to shape the future of customer interactions through cutting-edge AI applications.

This Principal Associate role within the Tech Finance Team supports the organization's technology transformation and AI initiatives. The position involves cross-functional collaboration to manage financial planning, budgeting, and forecasting for technology investments. Key responsibilities include analyzing cost drivers and monthly variances, developing financial models, and presenting strategic insights to senior leadership. The role appeals to candidates seeking a dynamic environment at the forefront of AI and software development, offering opportunities to influence high-level business decisions and work with enterprise finance partners. The position requires strong analytical and communication skills to navigate complex financial landscapes and drive effective resource management.

This Senior Associate role within the Financial Planning & Analysis team supports the Strategic Tech Finance function at Capital One. The position involves developing financial methodologies, analyzing current results to identify business opportunities, and assisting the Tech function with planning for new initiatives. Key responsibilities include managing budgeting, forecasting, and P&L processes, as well as creating executive presentations to communicate insights to senior leadership. The role appeals to candidates seeking a collaborative environment where they can partner with business leaders to assess financial implications and lead specific projects. It offers the opportunity to work on acquisition-related topics and develop strong influencing skills while supporting strategic technology goals.

This Director of Product Management role leads the Developer Experience team at Capital One, focusing on building a world-class CI/CD platform for deployment and release decisioning. The position involves setting multi-year strategies for the common capabilities across the deployment pipeline lifecycle and managing operational risk while enhancing the customer experience. Key responsibilities include collaborating cross-functionally with engineering, cybersecurity, and compliance stakeholders to drive roadmap execution and overseeing the end-to-end product lifecycle from ideation to launch. The role is appealing due to the opportunity to shape the future of software delivery for over 1,800 development teams within a high-tech, entrepreneurial culture that values bold ideas and innovation. The position supports Capital One's mission to change banking for good by enabling safe, automated, and scalable cloud operations.

This senior management role within Capital One's Enterprise Product and Experience team focuses on leading the development of industry-defining digital products and platforms. The position involves driving cross-functional collaboration among data, design, engineering, and machine learning experts to deliver innovative customer experiences. Key responsibilities include applying human-centered design principles, translating business strategy into actionable product outcomes, and solving complex problems while mitigating risks. The role appeals to leaders seeking to shape the future of enterprise technology within a vibrant, transformational culture that values reimagining the status quo. The position is based in McLean, New York, or Richmond, offering opportunities to work with high-scale technologies and drive sustainable value creation.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing large language models and agentic AI systems to transform banking experiences. The position involves designing and training foundation models, leveraging technologies like PyTorch and AWS to extract insights from vast datasets, and collaborating with cross-functional teams to deploy scalable AI solutions. The role appeals to candidates seeking to apply cutting-edge research in a high-impact environment where innovation directly improves customer interactions. It offers the opportunity to lead a research agenda, publish findings, and work with state-of-the-art infrastructure in a culture that values technical excellence and ethical AI development. The position is based in major hubs including Cambridge, McLean, New York, and San Jose.

The Senior Manager, Data Science - AI Foundations role leads the AI Foundations Specialist Models team within Capital One's Data Science department. This position focuses on building and deploying state-of-the-art scalable AI and machine learning solutions for the company's mobile applications, serving over 80 million customers. Key responsibilities include partnering with cross-functional teams to deliver generative AI features, leveraging technologies like PyTorch and Large Language Models to process vast datasets, and managing the full lifecycle of model development from design to production. The role is appealing for its opportunity to drive innovation at a Fortune 200 scale, work with cutting-edge NLP technologies, and foster a culture of customer-centric creativity and talent development.

The Senior Manager, Data Science - AI Foundations role leads the development of scalable AI and machine learning solutions for Capital One's mobile applications. The position involves partnering with cross-functional teams to design, train, and operationalize large language models and NLP systems that serve over 80 million customers. Key responsibilities include leveraging technologies like PyTorch and AWS to build generative AI features, adapting models for customer-facing interactions, and translating complex technical concepts into business value. This opportunity appeals to innovative leaders seeking to drive the next wave of disruption in financial services within a collaborative culture. The role offers the chance to work with cutting-edge tools while fostering talent development and shaping the future of digital banking experiences.

This Manager-level Product Design Lead role resides within the Experience Design team at Capital One, focusing on creating meaningful digital and physical customer experiences. The position combines high-level craft expertise with leadership duties, including directing design projects, mentoring junior designers, and influencing product strategy through data-driven insights. Key responsibilities involve collaborating with cross-functional partners to develop innovative solutions, maintaining design systems, and presenting compelling narratives to senior stakeholders. The role is appealing for its emphasis on a collaborative culture that values diversity of thought, authenticity, and healthy critique. It offers the opportunity to experiment and drive innovation in a regulated financial environment while working toward a mission of changing banking for good.

This senior lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable generative AI platforms. The position involves designing and deploying large-scale AI systems, including foundation model training, LLM inference, and optimization techniques to enhance performance and cost efficiency. Key responsibilities include collaborating with cross-functional partners to deliver AI-powered products, implementing governance and observability frameworks, and contributing to the long-term technical roadmap. The role is appealing for its opportunity to apply cutting-edge research to transform banking services, offering a collaborative culture that values innovation and technical excellence. The position supports a hybrid work arrangement and provides a platform to lead the development of high-impact solutions for millions of customers.

This Manager, Product Management role within Capital One's Enterprise Payments team focuses on defining the roadmap for the bank's digital payments strategy. The position involves modernizing legacy systems by transitioning to a cloud-based, API-driven architecture and leading the development of real-time payment experiences for consumer, small business, and commercial customers. Key responsibilities include shaping product strategy, collaborating with cross-functional teams of engineers and designers, and delivering intuitive solutions that blend digital design with backend integration. The role is appealing due to its position as an innovation laboratory within a top-tier bank, offering the opportunity to drive significant transformation in a tech-centric environment. The position requires a quantitative background and emphasizes human-centered problem solving and transformational leadership.

The Sr. Director, Product Management - AI/ML Platform Intelligence role leads a product team responsible for the core Machine Learning and Generative AI platforms at Capital One. This position involves setting technical strategy, monitoring platform performance, and ensuring resilience for mission-critical business applications. Key responsibilities include partnering with technology and risk teams to support data scientists and software developers, while driving the adoption of advanced infrastructure and tooling. The role is appealing for its opportunity to shape the future of AI/ML capabilities within a vibrant, innovative culture that values human-centered design and transformational leadership. The position requires significant people leadership and technical expertise in a high-impact environment focused on digital transformation.

The Applied Researcher I role within Capital One's AI Foundations team focuses on developing trustworthy and scalable artificial intelligence systems to transform banking experiences. Key responsibilities include building and training large-scale foundation models, collaborating with cross-functional teams of engineers and product managers to deploy AI solutions, and translating complex research into tangible business value. The position appeals to candidates passionate about pushing the boundaries of machine learning, offering the opportunity to work with cutting-edge technologies like PyTorch and AWS while contributing to high-impact research that directly improves customer interactions. The role is based in major US hubs including Cambridge, McLean, New York, and San Francisco, with a strong emphasis on innovation, technical excellence, and professional growth within a collaborative engineering culture.

This senior leadership role within Capital One's Enterprise Platforms Technology team focuses on designing, building, and scaling machine learning applications for enterprise use. The position involves collaborating with product and data science groups to architect ML systems, develop optimized data pipelines, and ensure high availability and performance of models in production. Key responsibilities include leading cross-functional Agile teams, implementing continuous integration and deployment practices, and maintaining responsible AI governance. The role appeals to candidates seeking to drive innovation with emerging technologies while fostering a culture of continuous learning and technical excellence. The position offers opportunities to work with cloud-based architectures and manage complex data-intensive solutions at scale.

This Applied Researcher I role within Capital One's AI Foundations team focuses on developing trustworthy AI systems to transform banking experiences. The position involves building and customizing large language models through pre-training, fine-tuning, and reinforcement learning techniques. Key responsibilities include partnering with cross-functional teams to deliver AI-powered products, leveraging technologies like PyTorch and AWS to analyze vast datasets, and translating complex research into tangible business solutions. The role appeals to candidates passionate about pushing the boundaries of AI while working in a collaborative environment that values innovation and customer impact. The position is based in major US hubs including Cambridge, McLean, New York, and San Jose.

This Lead Machine Learning Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on productionizing AI applications at scale using AWS, Kubernetes, and frameworks like PyTorch and TensorFlow. Key responsibilities include designing ML architectures, building optimized data pipelines, automating model deployment through MLOps practices, and ensuring high availability and responsible AI governance. The position offers the opportunity to work on cutting-edge technology that delivers value to millions of customers while fostering continuous learning and innovation. As part of a collaborative Agile environment, the role emphasizes cross-functional teamwork and the chance to lead technical initiatives in a mission-driven organization.

This Financial Analyst role within the Raytheon Business Process team supports finance digital enablement and process transformation for major USAF Sustainment Programs. Key responsibilities include gathering and analyzing financial data, preparing program forecasts, monitoring cash receipts, and resolving billing or contract discrepancies. The position offers the opportunity to work with a global aerospace and defense leader dedicated to solving complex national security challenges. The role is based onsite and provides a collaborative environment with access to career development programs, flexible work schedules, and comprehensive benefits.

This entry-level retail position supports T-Mobile store operations by engaging customers and facilitating their technology and service needs in a fast-paced environment. Key responsibilities include developing product knowledge to demonstrate network coverage and service plans, utilizing digital tools to enhance customer understanding, and collaborating with colleagues to deliver personalized solutions. The role appeals to candidates seeking a dynamic career path within a culture that emphasizes growth through a jungle gym-style progression rather than a traditional corporate ladder. Employees benefit from comprehensive training, access to wealth-building opportunities like stock grants, and a supportive environment focused on customer advocacy and team collaboration.