Jobs at Capital Village Dental

This senior business analyst role within Capital One Shopping focuses on driving strategic growth for a fast-expanding consumer shopping platform. The position involves identifying business challenges, performing quantitative modeling for product and pricing strategies, and supporting marketing efforts to enhance customer experiences. Key responsibilities include developing data-driven hypotheses, collaborating with cross-functional teams in IT, sales, and operations, and leading implementation efforts to improve credit performance and profitability. The role appeals to analytical problem-solvers seeking a dynamic environment that values innovation, continuous learning, and professional autonomy. It offers remote eligibility and the opportunity to work on a mission to transform online shopping while contributing to sustainable sales for merchant partners.

The Money Room Clerk role supports the Finance Department by managing cash and coin assets within a secured vault environment. Key responsibilities include counting, sorting, and verifying deposits from fare boxes, preparing change orders using specialized equipment, and maintaining accurate physical records of currency and checks. The position requires handling heavy loads up to 50 pounds and performing repetitive physical tasks such as lifting, bending, and walking throughout the facility. This opportunity appeals to individuals seeking a stable position with a focus on security and precision in a specialized operational setting. The role is based on-site within the money room and requires a high school diploma or equivalent, with preferred experience in banking or cash handling.

This senior Solution Architect role focuses on leading the design and optimization of enterprise payment processing and routing solutions within a large organization. The position requires an active security clearance and involves serving as the primary subject matter expert for payment workflows, including authorization, clearing, and settlement. Key responsibilities include architecting end-to-end payment integrations, ensuring compliance with PCI DSS standards, and collaborating with stakeholders, vendors, and technology teams to deliver secure systems. The role offers the opportunity to mentor engineering teams and drive technical strategy in a regulated environment. It is ideal for professionals with extensive experience in payment gateways and alternative payment methods seeking to influence high-impact infrastructure decisions.

This full-time Lead Machine Learning Engineer role places the candidate within an Agile team at Capital One focused on productionizing machine learning applications at scale. Key responsibilities include designing and building ML models to solve business problems, constructing optimized data pipelines, and ensuring high availability and performance through cloud-based architectures and continuous deployment practices. The position requires collaboration with product and data science teams to manage model retraining, monitoring, and governance while adhering to responsible AI standards. The role is appealing for its opportunity to work with emerging technologies, apply the latest innovations in ML engineering, and lead teams in a collaborative environment. The position is based in McLean, VA, New York, NY, or Plano, TX.

This full-time Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building scalable infrastructure for foundation model hosting and large language model inference. The position involves designing and deploying AI software components, optimizing LLM performance for cost and latency, and implementing governance and observability tools using technologies like PyTorch and AWS. The role appeals to candidates seeking to apply cutting-edge research to real-world banking challenges while contributing to a culture of responsible AI innovation. The team collaborates cross-functionally to deliver high-impact products, offering opportunities for technical growth and shaping the future of AI systems in a major financial institution.

This full-time Lead Machine Learning Engineer role within Capital One's Agile teams focuses on productionizing machine learning applications at scale. The position involves designing and building ML models to solve real-world business problems, developing optimized data pipelines, and ensuring high availability and performance of deployed systems. Key responsibilities include collaborating with product and data science teams, managing model retraining and monitoring, and implementing continuous integration and deployment practices using languages like Python, Scala, or Java. The role appeals to candidates seeking to apply the latest innovations in machine learning engineering within a collaborative environment that emphasizes responsible AI and technical growth. The position is based in McLean, VA, New York, NY, or Plano, TX.

This senior distinguished engineering role focuses on architecting and scaling foundational compute infrastructure for Capital One's enterprise AI and machine learning platform. The position involves designing highly available, multi-tenant systems using distributed frameworks like Ray and Spark, while optimizing performance for large-scale model training and inference workloads. Key responsibilities include developing control and data plane implementations, automating operational workflows, and leading technical execution for complex projects involving generative AI and transformer models. The role appeals to technical leaders seeking to shape the future of responsible AI in banking, offering the opportunity to mentor talent, influence system design, and work within a collaborative culture that values innovation. This position is eligible for remote work, allowing engineers to contribute to high-impact technology solutions from anywhere.

This Lead AI/ML Engineer role within the Intelligent Foundations and Experiences team focuses on building scalable, responsible AI infrastructure and platforms at Capital One. Key responsibilities include designing and deploying large language model systems, optimizing foundation model training and inference for performance and cost, and implementing governance and observability tools using technologies like Kubeflow and PyTorch. The position appeals to technical leaders who thrive on solving undefined problems and applying cutting-edge research to real-world banking challenges. The role offers the opportunity to shape the long-term technical vision for AI while working in a collaborative environment that values innovation, quality, and the mission to transform banking for good.

The Senior Director, Applied Research role leads the AI Foundations team at Capital One, driving strategic direction for trustworthy and reliable AI systems within the banking sector. Key responsibilities include managing teams of applied scientists, building AI foundation models from design through implementation, and collaborating with cross-functional groups to deliver high-impact products that transform customer experiences. The position appeals to leaders passionate about emerging technologies, offering the opportunity to represent the company in the global research community and mentor talent while working with advanced tools like PyTorch and AWS. This people management role focuses on translating complex research into tangible business goals and is based in various US locations including Cambridge, McLean, New York, Richmond, and San Francisco.

This senior distinguished AI engineering role at Capital One focuses on building responsible and scalable AI systems within the Intelligent Foundations and Experiences team. The position involves designing and deploying large-scale AI components, including foundation model training, LLM inference, and optimization techniques to enhance performance and cost efficiency. Key responsibilities include partnering with cross-functional teams to deliver AI-powered products, leveraging technologies like PyTorch and AWS, and contributing to the long-term technical vision for foundational AI. The role appeals to candidates passionate about applying cutting-edge research to transform banking, offering the opportunity to solve undefined problems in a collaborative environment that values technical excellence and innovation. The position is based in various US locations including Cambridge, McLean, New York, Richmond, San Francisco, and San Jose.

This distinguished AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on architecting and launching conversational experiences powered by state-of-the-art Generative AI for millions of customers. Key responsibilities include designing and deploying large-scale AI systems involving foundation model training, LLM inference, and optimization techniques to ensure scalability and low latency. The position requires collaborating with cross-functional teams to integrate advanced technologies like PyTorch and vector databases while contributing to the long-term technical vision of the organization. The role is appealing for its opportunity to lead breakthrough product experiences that transform banking, offering a culture that values innovation, technical excellence, and responsible AI deployment. The position is based in major hubs including Cambridge, McLean, or New York.

This Applied Researcher II 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 scalable AI products, conducting high-impact research on emerging technologies, and translating complex technical concepts into tangible business solutions. The role appeals to candidates seeking to work at the forefront of AI innovation in a collaborative environment that values creativity, leadership, and ethical decision-making. It offers the opportunity to drive the next generation of customer interactions through cutting-edge machine learning research and engineering.

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 partnering with cross-functional teams to build and deploy large-scale foundation models, utilizing technologies like PyTorch and AWS to extract insights from vast datasets. Key responsibilities include managing the full research lifecycle from design and training to evaluation and implementation, while translating complex technical concepts into tangible business value. The role appeals to candidates passionate about pushing the boundaries of machine learning and deep learning, offering the opportunity to work on high-impact projects that redefine customer interactions. The position is based in major hubs including Cambridge, McLean, New York, and San Francisco, providing a collaborative environment dedicated to innovation and ethical AI development.

This Applied Researcher I role within Capital One's AI Foundations team focuses on developing multi-agent systems and knowledge graph technologies to transform banking operations. The position involves building scalable AI architectures using frameworks like LangGraph and MCP, designing foundation models from design through implementation, and collaborating with cross-functional teams to deliver intelligent customer experiences. The role appeals to candidates passionate about pushing the boundaries of AI research, offering the opportunity to work with cutting-edge tools on high-impact problems that redefine software development and customer service. The position requires a strong engineering mindset to deploy models at scale and supports a culture of innovation where emerging technologies are continuously evaluated and applied to real-world business challenges.

The Applied Researcher I role is based within the AI Foundations team at Capital One, focusing on developing trustworthy and reliable AI systems for the banking sector. Key responsibilities include partnering with cross-functional teams to deliver AI-powered products, building and training large-scale foundation models using technologies like PyTorch and AWS, and translating complex research into tangible business solutions. The position appeals to candidates passionate about pushing the boundaries of machine learning to reimagine customer experiences. It offers a collaborative environment where researchers can own their agendas and work on high-impact projects that combine academic rigor with real-world application.

The Manager, Data Science - AI Foundations role leads the AI Foundations Specialist Models team within Capital One's mobile app division. The position focuses on designing and deploying scalable generative AI solutions, including Large Language Models and Natural Language Processing systems, to enhance customer interactions. Key responsibilities involve partnering with cross-functional teams to operationalize machine learning models for millions of users, leveraging technologies like PyTorch and AWS, and translating complex technical concepts into business value. The role is appealing for its opportunity to drive innovation at scale within a data-centric culture, offering a chance to shape next-generation financial experiences while fostering talent development and challenging conventional thinking.

This Principal Data Scientist role within the AI Foundations team focuses on developing scalable machine learning and natural language processing solutions for Capital One's mobile applications. The position involves leading the design, training, and operationalization of large language models to power features like the Eno digital assistant and personalized customer experiences. Key responsibilities include collaborating with cross-functional product and engineering teams, leveraging technologies such as PyTorch and AWS, and translating complex AI concepts into tangible business value. The role is appealing for its opportunity to drive innovation at a massive scale serving over 80 million customers, offering a dynamic environment where emerging generative AI technologies are actively applied to solve undefined problems. The position supports a customer-first culture and emphasizes professional growth through talent development and technical leadership.

The Business Director- Card Technology Strategy role leads strategic initiatives within the Card Technology Strategy team at Capital One, partnering with senior leadership to define the division's technology agenda. Key responsibilities include developing business strategies to drive growth and profitability, managing product and pricing strategies through data modeling, and overseeing multiple concurrent projects while mentoring analysts. The position appeals to candidates seeking a collaborative environment that values innovation, continuous learning, and the opportunity to solve complex challenges in a fast-paced financial services setting. The role requires strong analytical and leadership skills to influence stakeholders across technology, product, and business units.

This Manager, Product Management role within Capital One's Enterprise Payments team focuses on defining the digital payments roadmap and modernizing legacy systems into a cloud-based, real-time environment. The position involves shaping product strategy, collaborating with cross-functional teams of engineers and designers, and delivering intuitive payment experiences for diverse customer segments. The role is appealing for its opportunity to drive innovation in a tech-centric culture that is redefining industry standards for faster payments. It offers a dynamic environment where candidates can leverage technology to solve complex problems and lead transformational initiatives while working on high-impact projects that blend digital design with backend integration.

This senior leadership role within Capital One's Cloud Operations Resilience Engineering organization leads the product strategy for operational intelligence and observability tools. The position is responsible for overseeing the collection and analysis of data across software, databases, and infrastructure assets to ensure technology platforms remain performant, secure, and resilient. Key duties include driving innovation in monitoring solutions, aligning cross-functional teams to solve complex operational challenges, and translating business strategy into technical product outcomes. The role appeals to leaders seeking to shape the future of internal technology management within a vibrant, transformational culture that values human-centered design and integrated problem-solving. The position operates within a major financial institution's digital ecosystem, offering significant scope to influence how the company manages its technology assets.

This full-time Senior Financial Analyst role supports the Retail Bank Finance Team at a company dedicated to visual storytelling and data-driven decision-making. The position involves leading financial reporting, budgeting, forecasting, and variance analysis while managing Profit & Loss statements. Key responsibilities include collaborating with system analysts to develop financial models, coordinating data collection across departments to ensure integrity, and creating business presentations to communicate insights to senior leadership. The role appeals to professionals seeking to challenge existing processes for greater efficiency and to partner with business units on strategic direction. It offers a collaborative environment focused on sustainable performance and professional growth within a comprehensive benefits framework.

This Director of Product Management role leads the Developer Experience team at Capital One, focusing on building a world-class CI/CD platform for over 1,800 software development teams. The position involves defining multi-year strategies for deployment pipelines, managing operational risk while enhancing customer experience, and collaborating cross-functionally with engineering, security, and compliance stakeholders to drive product roadmaps. The role is appealing for its opportunity to shape the future of enterprise software delivery, foster a culture of innovation, and work on high-impact technology that supports the company's mission to transform banking. The position requires deep empathy for developer needs and offers a dynamic environment where strategic vision directly influences the quality of life for internal customers.

This senior distinguished machine learning engineering role provides technical leadership to teams focused on productionizing large-scale ML applications within the financial services sector. Key responsibilities include designing and implementing complex ML models using Python, Scala, and C++, optimizing data pipelines for high-performance computing, and guiding architectural decisions for cloud-based systems. The position appeals to experts seeking to drive state-of-the-art intelligent systems while mentoring engineers and shaping engineering best practices. The role offers a collaborative environment where professionals can continuously apply cutting-edge innovations and contribute to the company's technological evolution.