Jobs at Capital Village Dental

This Principal Associate Data Scientist role within Capital One's Mainstreet Acquisitions team focuses on developing and governing advanced credit underwriting models to deliver personalized financial offers. The position involves conducting statistical modeling experiments, engineering features from diverse data sources, and building machine learning solutions across the full development lifecycle. Key responsibilities include partnering with cross-functional stakeholders to establish modeling standards and translating complex technical insights into tangible business goals. The role appeals to candidates seeking a collaborative, informal culture that values innovation and intellectual challenge. It offers the opportunity to work with cutting-edge technologies like Python, AWS, and Spark on a large scale, driving real-time decision-making for millions of customers.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing and deploying large-scale artificial intelligence systems to transform banking experiences. The position involves partnering with cross-functional teams to build AI 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 passionate about pushing the boundaries of machine learning, offering the opportunity to work on state-of-the-art projects that directly impact customer interactions. It emphasizes a culture of innovation, leadership, and continuous learning within a collaborative environment dedicated to trustworthy and reliable AI.

This full-time Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable GenAI platforms, including LLM core and agentic systems. Key responsibilities involve designing and deploying AI software components such as foundation model training, inference, and guardrails, while optimizing large-scale production systems for performance and cost. The position offers the appeal of working at the forefront of applied science to transform banking, with a collaborative culture that encourages innovation and the application of cutting-edge research. The role requires deep technical expertise in Python and cloud infrastructure to solve undefined problems and deliver high-impact customer experiences.

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, leveraging technologies like PyTorch and AWS to analyze vast datasets, and collaborating with cross-functional teams to deploy AI solutions into production. The position appeals to candidates passionate about pushing the boundaries of machine learning, offering the opportunity to work on high-impact research that directly influences customer interactions. The role emphasizes a culture of innovation and ethical AI development, providing a platform to lead research agendas and solve undefined problems in a collaborative environment.

The Director, Mainstreet Finance role leads a team of financial analysts within Capital One's Card business, serving as a strategic advisor to senior leadership across Finance and Corporate Planning. Key responsibilities include generating deep analytical insights into business performance and the P&L, developing influential presentations for executive stakeholders, and driving sustainable processes that influence corporate decision-making. The position offers the opportunity to shape the broader Finance culture while working in a collaborative environment that values data-driven judgment and talent development. This full-time position is based in McLean or Richmond, Virginia.

This senior individual contributor role serves as the Enterprise Product Check Items Processing Lead within Capital One's Product Management team. The position is responsible for defining the vision, strategy, and roadmap for core check processing capabilities, leveraging payment system expertise to drive modernization, efficiency, and compliance. Key duties include influencing cross-functional teams such as engineering, risk, and data science to deliver secure, scalable solutions that minimize fraud and enhance customer experience. The role appeals to professionals seeking to reimagine the status quo in a vibrant environment that values human-centered innovation and transformational leadership. While the position requires a quantitative background and significant product management experience, it offers the opportunity to shape critical financial infrastructure without direct management authority.

The Senior Risk Associate role within Capital One's Enterprise Data Risk Management team focuses on overseeing data risk to protect customers and ensure operational sustainability. Key responsibilities include testing and validating data management controls across business lines, analyzing data to identify emerging risks and trends, and collaborating with stakeholders to implement robust data governance practices. The position appeals to candidates seeking a forward-thinking environment where they can drive transformation, automate processes, and influence the organization's data maturity journey. The role requires strong analytical and communication skills to effectively challenge and support business units in managing data risk within a dynamic technology landscape.

This Director-level role within the External Data Strategy team at Capital One leads a group of 10 to 15 data scientists in building advanced analytics and machine learning models. The position involves overseeing the full data lifecycle, from sourcing external data and designing feature pipelines to implementing scalable solutions using Python, Spark, and AWS. Key responsibilities include partnering with cross-functional teams to drive business insights, providing technical guidance, and developing talent within the organization. The role appeals to candidates seeking to leverage big data to improve customer financial outcomes within a company that values innovation and data-driven decision-making. It offers the opportunity to work at scale across billions of records while fostering a culture of technical excellence and strategic leadership.

This distinguished AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building an enterprise Generative AI platform for agentic workflows. The position involves designing the core framework for agent orchestration, developing shared services like memory and guardrails, and standardizing patterns across major frameworks to ensure scalable, production-grade applications. Key responsibilities include creating developer tools such as SDKs and CLI kits to accelerate prototyping, implementing trust and safety measures to prevent incidents, and optimizing system performance for multi-tenant environments. The role appeals to senior engineers seeking to lead high-impact innovation in responsible AI, offering the opportunity to mentor staff-level engineers, influence cross-functional architecture, and represent the company at major industry conferences. The position is based in major hubs including Cambridge, McLean, New York, and San Francisco.

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 cybersecurity, engineering, and business stakeholders to drive the product roadmap and overseeing the end-to-end product lifecycle from ideation to launch. The role is appealing for its opportunity to shape the future of software delivery for 1,800 development teams, offering a chance to work in a high-tech, entrepreneurial environment that values bold ideas and innovation. The position supports Capital One's mission to change banking for good by enabling safe, automated, and secure cloud operations.

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 with cross-functional stakeholders in cybersecurity, compliance, and engineering. The role is appealing for its opportunity to shape the future of enterprise software delivery, drive innovation in a high-tech scientific environment, and work on a mission critical to the company's cloud transformation. The position requires deep empathy for developer needs and offers a chance to lead transformational initiatives within a collaborative, entrepreneurial culture.

This full-time Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI systems to transform banking services. 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 collaborating with cross-functional partners to deliver AI-powered products, implementing state-of-the-art research in production environments, and contributing to the long-term technical roadmap. The role is appealing for its opportunity to work with cutting-edge technologies like PyTorch and AWS Ultraclusters while driving meaningful change in customer experiences. It offers a collaborative culture that values innovation and technical excellence, with a hybrid work arrangement based on the specific location.

This Senior Manager role within Capital One's Enterprise AI/ML team leads product strategy for the platforms powering real-time, intelligent banking. The position focuses on building and scaling tools for technical users such as data scientists and ML engineers, ensuring rigorous governance, security, and resiliency. Key responsibilities include driving transformative solutions through cross-functional collaboration with engineering and risk teams, translating complex business strategies into innovative digital products, and solving operational challenges for large-scale distributed compute systems. The role appeals to leaders seeking to shape the infrastructure used by thousands of engineers to deliver personalized customer experiences. It offers a vibrant environment centered on reimagining the status quo, with opportunities for transformational leadership and professional growth in a rapidly evolving digital landscape.

This full-time Distinguished AI Engineer role is based remotely within Capital One's Intelligent Foundations and Experiences team, focusing on building responsible and scalable AI systems for the banking sector. The position involves designing and deploying large-scale AI components such as foundation model training, LLM inference, and guardrails while leveraging technologies like PyTorch and AWS. Key responsibilities include inventing state-of-the-art optimization techniques to improve system performance and contributing to the long-term technical vision for foundational AI. The role appeals to candidates seeking to lead cross-functional teams in a culture that values innovation, technical excellence, and the mission to transform banking through technology.

The Business Manager role within the Global Payment Network at Capital One focuses on driving strategic growth and profitability for major lending products. Key responsibilities include developing business strategies to navigate consumer and regulatory shifts, leading product and pricing initiatives, and managing credit risk through rigorous data modeling and analysis. The position also involves mentoring a small team of analysts and collaborating with cross-functional partners to execute complex projects. This opportunity appeals to candidates seeking a dynamic environment that values innovation, continuous learning, and the chance to impact the bottom line through data-driven decision-making. The role offers a collaborative culture where strategic insight is highly valued, supporting professional development in a fast-paced financial services setting.

The Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI systems for the banking sector. Key responsibilities include designing and deploying large language model solutions, optimizing foundation model training and inference, and implementing governance and observability tools using technologies like PyTorch and AWS. The position appeals to technical leaders who enjoy solving undefined problems and applying cutting-edge research to real-world products. The team offers a collaborative environment dedicated to transforming customer experiences through innovation, with opportunities to shape the long-term technical vision of foundational AI infrastructure.

The Sr. Distinguished Applied Researcher role is an individual contributor position within Capital One's AI Foundations team, focused on developing trustworthy and scalable AI systems for the banking sector. Key responsibilities include building and training large-scale foundation models across their entire lifecycle, leveraging technologies like PyTorch and AWS to extract insights from massive datasets, and collaborating with cross-functional leaders to translate complex research into tangible business solutions. The position offers the opportunity to mentor applied scientists, represent the company in the global research community, and drive strategic direction without direct people management. This role is appealing for its chance to work on cutting-edge machine learning challenges that redefine customer experiences, supported by a culture that values innovation, technical excellence, and the ethical application of AI.

This senior distinguished AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building a proprietary Agentic AI Platform to transform banking services. The position involves designing north-star platform architectures, standardizing agentic workflows using frameworks like LangGraph and AutoGen, and developing a comprehensive GenAI SDK to accelerate production timelines. Key responsibilities include implementing trust and safety guardrails, optimizing orchestration for performance and cost, and mentoring engineering teams while representing the company at industry conferences. The role appeals to candidates seeking to lead breakthrough applied science initiatives in a collaborative environment where responsible AI drives real customer impact. The position is based in major US hubs including McLean, Cambridge, New York, and San Francisco.

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 cost-efficiency. The position requires collaborating with cross-functional teams to integrate proprietary AI solutions while contributing to the long-term technical vision. The role is appealing for its opportunity to lead breakthrough product experiences that reimagine banking, offering a chance to work with cutting-edge technologies like PyTorch and AWS Ultraclusters in a culture that values responsible AI innovation and technical excellence.

The Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI systems that transform banking services. Key responsibilities include designing and deploying large language model infrastructure, optimizing model performance for latency and cost, and implementing governance and observability tools using technologies like PyTorch and AWS. The position appeals to candidates passionate about applying cutting-edge research to real-world problems, offering the opportunity to shape the technical vision for foundational AI. The role involves collaborating with cross-functional partners to deliver high-impact products and provides a dynamic environment for engineers who thrive on solving undefined challenges.

This lead AI engineering 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, including model training, similarity search, and guardrails, while leveraging technologies like PyTorch and AWS. Key responsibilities include inventing state-of-the-art optimization techniques to enhance system performance, latency, and cost, as well as contributing to the long-term technical vision for foundational AI systems. The role appeals to candidates passionate about applying cutting-edge research to transform banking, offering the opportunity to work on high-impact problems in a collaborative environment that values responsible AI. The position is based in major US hubs including Cambridge, McLean, New York, and San Jose.

This senior lead machine learning engineering role places the candidate within an Agile team at Capital One, focusing on the productionization of scalable machine learning systems. Key responsibilities include designing and building ML models to solve business problems, constructing optimized data pipelines, and managing the full lifecycle of model deployment, monitoring, and retraining in cloud environments. The position requires leading teams while ensuring high availability, performance, and adherence to responsible AI practices. The role is appealing for its opportunity to work with emerging technologies, drive innovation in big data applications, and foster a collaborative culture that values continuous learning. The position is based in McLean, Virginia or New York, New York.