Jobs at Capital Village Dental

This full-time Lead Machine Learning Engineer role places the candidate within an Agile team at Capital One, focusing on the productionization of 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 through continuous integration and deployment practices. The position requires collaboration with product and data science teams to maintain model governance and implement responsible AI standards. The role is appealing for its opportunity to work with emerging technologies in a collaborative environment that values continuous learning and innovation. The position is based in McLean, VA, New York, NY, or Plano, TX, with a hybrid work arrangement involving on-site collaboration.

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 appeal of working on cutting-edge technology that delivers value to millions of customers while fostering continuous learning and innovation. The team operates in an Agile environment with opportunities for cross-functional collaboration and technical leadership.

This full-time Lead Machine Learning Engineer role involves leading an Agile team to productionize scalable machine learning applications within Capital One's technology division. Key responsibilities include designing ML architectures, building and optimizing data pipelines, and ensuring high availability and performance of models in production using languages like Python and Java. The position emphasizes collaboration with product and data science teams to solve complex business problems while adhering to responsible AI practices. The role is appealing for its focus on continuous learning, exposure to emerging technologies, and the opportunity to lead teams in a collaborative environment. The position is based in McLean or Richmond, Virginia, with a hybrid work arrangement.

The Process Engineer Manager role within the Finance, Risk, and Management team focuses on transforming financial operations through simplified, standardized, and strategically aligned processes. Key responsibilities include leading cross-functional process improvement initiatives, applying Six Sigma methodologies to redesign workflows, and partnering with Technology and Product teams to enhance controls and transparency. The position offers the appeal of working on high-visibility projects that drive organizational efficiency while providing opportunities to influence strategic decisions in a fast-paced environment. This hybrid position requires three days per week in the office and is ideal for candidates who thrive in ambiguity and excel at building structure within complex financial systems.

This Accounting Manager role within the Controllers Group focuses on executing high-priority projects to enhance financial systems and reporting accuracy. The position involves understanding financial value streams, gathering requirements for system configuration changes, and managing the implementation of updates across PeopleSoft General Ledger and TrinTech reconciliation platforms. Key duties include configuring technical solutions, performing source-to-target mapping, and participating in peer reviews to ensure adherence to best practices. The role appeals to professionals seeking a collaborative environment that values innovation in accounting processes and offers opportunities for professional growth within a dynamic organization. The position requires an Agile approach and offers a supportive culture focused on work-life balance.

This Lead AI Engineer role within the Intelligent Foundations and Experiences team at Capital One focuses on building responsible and scalable AI infrastructure to transform banking services. The position involves designing and deploying large-scale AI components, including foundation model training, LLM inference, and model governance, while leveraging technologies like PyTorch and AWS. Key responsibilities include optimizing system performance for cost and latency, collaborating with cross-functional partners to deliver AI-powered products, and contributing to the long-term technical roadmap. The role appeals to candidates passionate about applying cutting-edge research to real-world problems in a culture that values innovation, technical excellence, and ethical AI development. The position is based in major US hubs including Cambridge, McLean, New York, and San Jose.

The 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. Key responsibilities include designing and deploying large language model infrastructure, optimizing foundation model training and inference for performance and cost, and implementing governance and observability tools. The position leverages a modern stack including PyTorch, AWS, and vector databases to deliver high-impact products. This opportunity appeals to candidates seeking to apply cutting-edge research in production while working in a collaborative environment that values technical excellence and innovation. The role offers the chance to shape the long-term technical vision of foundational AI systems at a leading financial institution.

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, optimizing model performance for high-volume inference, and translating complex research into tangible business solutions. The role appeals to candidates seeking to work on cutting-edge AI research with a mission to create trustworthy, human-centric financial tools. It offers a collaborative environment that values innovation, technical leadership, and the opportunity to publish impactful research while working with state-of-the-art infrastructure.

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 and training foundation models from scratch, optimizing training and inference for massive scale, and collaborating with cross-functional teams to deploy AI solutions into production. Key responsibilities include leveraging advanced technologies like PyTorch and AWS to extract insights from complex data and translating research breakthroughs into tangible business value. The role is appealing for its opportunity to work on cutting-edge AI research with a mission to make banking more human and intelligent. It offers a collaborative environment that values innovation and technical depth, with work arrangements based in major hubs including Cambridge, McLean, New York, San Francisco, and San Jose.

This Principal Data Scientist role within the AI Foundations team focuses on developing scalable machine learning solutions for Capital One's mobile applications. The position involves partnering with cross-functional groups to design and operationalize advanced Natural Language Processing models and Large Language Models for customer-facing features. Key responsibilities include leveraging technologies like PyTorch and AWS to build resilient systems serving millions of users and translating complex technical concepts into business value. The role appeals to innovators seeking to drive the next wave of generative AI disruption in a customer-first environment. It offers the opportunity to work on high-impact projects that help customers manage their finances while fostering a culture of continuous learning and technical leadership.

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. The position involves designing ML architectures, building optimized data pipelines, and implementing MLOps practices to ensure high availability and responsible AI governance. Key responsibilities include developing scalable cloud-based solutions, automating model deployment and monitoring, and collaborating with cross-functional Agile teams to solve complex business problems. The role appeals to candidates seeking to lead technical innovation in a collaborative environment where they can apply cutting-edge machine learning engineering to impact millions of customers.

The Distinguished AI Engineer 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 enhance scalability and cost-efficiency. 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. This opportunity appeals to candidates seeking to drive transformative change in banking through responsible AI, offering a chance to work on undefined, high-impact problems with a culture that values innovation, technical excellence, and ethical deployment.

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 production-ready AI products, optimizing model performance at scale, and translating complex research into tangible business value. The role appeals to candidates seeking to lead high-impact applied research in a culture that values innovation, ethical AI practices, and professional growth. It offers the opportunity to work on cutting-edge projects that redefine customer interactions, with a focus on building scalable infrastructure for next-generation intelligent systems.

The Sr. Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible, 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 collaborating with cross-functional partners to deliver AI-powered products. The position leverages advanced technologies like PyTorch and AWS to drive innovation in foundation models and governance. This opportunity appeals to candidates seeking to apply cutting-edge research in a high-impact environment where they can shape technical vision and mentor teams. The role offers a collaborative culture dedicated to ethical AI and the chance to solve complex, undefined problems that directly enhance customer experiences.

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 and training foundation models from scratch, leveraging technologies like PyTorch and AWS to extract insights from massive datasets, and collaborating with cross-functional teams to deploy scalable AI solutions. The role appeals to candidates passionate about pushing the boundaries of machine learning research, offering the opportunity to work on high-impact projects that directly influence customer interactions. It provides a dynamic environment for those with a PhD or extensive experience in deep learning, emphasizing innovation, technical leadership, and the chance to shape the future of trustworthy AI infrastructure.

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 designing and training large-scale AI foundation models, implementing agent protocols using frameworks like LangGraph, and collaborating with cross-functional teams to deploy scalable AI solutions. Key responsibilities include conducting high-impact research on emerging technologies, optimizing model performance, and translating complex technical concepts into tangible business value. The role appeals to innovators seeking to work at the intersection of advanced AI research and practical application in a collaborative environment. Candidates will have the opportunity to shape the future of customer experiences while working with cutting-edge tools in a culture that values creativity, ethical decision-making, and continuous learning.

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 and operationalize Natural Language Processing models and Large Language Models that serve over 80 million customers. Key responsibilities include leveraging technologies like PyTorch and AWS to build generative AI features, translating complex technical concepts into business value, and driving innovation in customer-facing digital experiences. This position is appealing for its opportunity to shape the future of financial technology at a Fortune 200 company, offering a collaborative culture that values creativity, customer focus, and professional growth. The role is based in McLean, New York, or San Jose.

The Applied Researcher I role is based within Capital One's AI Foundations team, focusing on developing trustworthy and reliable AI systems to transform banking experiences. 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, offering the opportunity to work on high-impact projects that redefine customer interactions. The role supports a collaborative culture that values innovation, ethical decision-making, and talent development, with opportunities to engage with state-of-the-art research and production environments.

This senior lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable generative AI platform services. The position involves designing and deploying large language model infrastructure, including training, inference, and optimization techniques to enhance performance and cost-efficiency. Key responsibilities include collaborating with cross-functional partners to deliver AI-powered products, implementing guardrails and governance frameworks, and contributing to the long-term technical vision for foundational systems. The role appeals to candidates passionate about applying cutting-edge research to real-world banking challenges, offering the opportunity to work with a broad stack of open-source and cloud technologies. The position supports a collaborative culture that values innovation, technical excellence, and the mission to transform customer experiences through reliable AI.

This full-time Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable AI systems that transform banking services. Key responsibilities include designing and deploying large language model infrastructure, optimizing foundation model training and inference for performance and cost, and implementing governance and observability tools. The position leverages a modern stack of open-source and cloud technologies to deliver high-impact products. The role is appealing for its opportunity to pioneer state-of-the-art AI solutions in a collaborative environment that values technical excellence and ethical innovation. Candidates will work on undefined challenges with the freedom to shape the technical vision while contributing to a mission that brings humanity and simplicity to financial services.

The Business Manager role within Capital One's Global Payment Network focuses on driving strategic growth and profitability for major lending products. Key responsibilities include developing business strategies to navigate regulatory changes, leading product and pricing initiatives, and managing credit risk through advanced analytics and modeling. The position also involves mentoring a small team of analysts and collaborating with cross-functional partners to execute complex projects. This opportunity appeals to professionals 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 career growth in a fast-paced financial services setting.

This senior leadership role within Capital One's Cloud Operations Resilience Engineering organization directs the product strategy for operational intelligence and observability tools. The position involves leading cross-functional teams to manage the collection and analysis of data across software, databases, and infrastructure assets, ensuring technology platforms remain performant, secure, and resilient. Key responsibilities include translating business strategy into innovative digital solutions, driving execution excellence, and collaborating with risk and security teams to monitor performance and mitigate product risks. The role appeals to leaders seeking to shape the future of internal technology management within a vibrant, transformational culture that values human-centered innovation and integrated problem-solving. The position is based in various US locations including Chicago, McLean, New York, Plano, Richmond, and San Francisco.