Jobs at Capital Village Dental

This senior management role within Capital One's Global Payment Network focuses on driving strategic growth and profitability for major lending products. The position involves developing business strategies to navigate shifting consumer behaviors, leading product and pricing initiatives, and managing credit risk through rigorous quantitative analysis. Key responsibilities include overseeing a team of analysts, coordinating cross-functional projects with IT and Sales, and executing direct-to-consumer marketing efforts. The role appeals to candidates seeking a dynamic environment that values innovation, continuous learning, and the opportunity to influence high-level business decisions. It offers a collaborative culture where strategic insight is rewarded, with opportunities for professional development and leadership within a global financial infrastructure.

This full-time Lead Machine Learning Engineer role places the candidate within an Agile team at Capital One focused on productionizing machine learning systems at scale. Key responsibilities include designing and building ML models to solve business problems, developing optimized data pipelines, and ensuring high availability and performance of deployed applications. The position requires collaborating with product and data science teams to implement continuous integration practices and maintain responsible AI standards. The role is appealing for its opportunity to work with emerging technologies, lead cross-functional initiatives, and continuously apply the latest innovations in machine learning engineering. The position supports a collaborative environment where professionals can drive state-of-the-art big data solutions.

This Manager, Data Science role within the AI Foundations team focuses on building scalable machine learning and natural language processing solutions for Capital One's mobile applications. The position involves leading the development of generative AI features, such as the Eno digital assistant, by designing, training, and operationalizing large language models for over 80 million customers. Key responsibilities include partnering with cross-functional teams to deliver innovative products, leveraging advanced technologies like PyTorch and AWS, and translating complex technical concepts into business value. The role is appealing for its opportunity to drive next-generation customer experiences at a Fortune 200 company, offering a culture that values innovation, customer-centricity, and professional growth in a dynamic, data-driven environment.

This Process Engineer Manager role within the Finance, Risk, and Management team focuses on transforming financial operations through simplified, standardized, and strategically aligned processes. The position involves leading cross-functional initiatives to redesign workflows, applying Six Sigma methodologies to enhance efficiency, and building robust governance and control frameworks. Key responsibilities include partnering with Technology and Product teams to reduce manual effort, documenting complex processes, and driving change management across the organization. The role is appealing for its opportunity to influence strategic decisions, operate in a fast-paced environment that values structure amidst ambiguity, and deliver high-impact solutions. This is a hybrid position requiring three days per week in the office.

This senior lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on customizing and fine-tuning large language models to transform banking services. The position involves designing and deploying scalable AI infrastructure, including foundation model training, inference optimization, and implementing safety guardrails using technologies like PyTorch and AWS. Key responsibilities include inventing state-of-the-art optimization techniques to enhance system performance and contributing to the long-term technical roadmap for foundational AI systems. The role appeals to candidates seeking to apply cutting-edge research in a collaborative environment where they can lead cross-functional initiatives and solve undefined, high-impact problems. The position offers the opportunity to work on responsible AI solutions that directly improve customer experiences while fostering a culture of innovation and technical excellence.

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, implementing state-of-the-art optimization techniques to enhance system latency and throughput, and collaborating with cross-functional partners to deliver responsible AI products. The role appeals to technical leaders who thrive on solving undefined problems and applying cutting-edge research to real-world banking challenges. It offers the opportunity to shape the long-term technical vision of foundational AI systems while working with a diverse stack of open-source and cloud technologies in a culture dedicated to transforming banking through innovation.

This senior lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible generative AI platforms that transform banking services. The position involves designing and deploying large-scale AI systems, including foundation model training, LLM inference, and optimization techniques for scalability 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 roadmap. The role appeals to candidates passionate about applying cutting-edge research to real-world problems, offering the opportunity to work with a diverse technology stack on high-impact initiatives. The position supports a culture of innovation and technical excellence, allowing engineers to lead the development of systems that enhance customer experiences while maintaining high standards of reliability.

The Manager, Data Science - AI Foundations role leads the AI Foundations Specialist Models team within Capital One's mobile app division. This position focuses on developing and operationalizing state-of-the-art machine learning and natural language processing solutions, specifically leveraging Large Language Models to enhance customer interactions. Key responsibilities include partnering with cross-functional teams to design scalable AI architectures, fine-tuning models for production environments serving over 80 million users, and translating complex technical concepts into clear business strategies. The role is appealing for its opportunity to drive innovation using cutting-edge generative AI technologies in a customer-first culture that values creativity and leadership. The position supports a hybrid work arrangement and offers significant professional growth within a Fortune 200 company dedicated to data-driven decision-making.

This Applied Researcher I 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, optimizing deep learning architectures for scale, and collaborating with cross-functional teams to deploy AI solutions into production. Key responsibilities include leveraging technologies like PyTorch and AWS to extract insights from vast datasets and translating complex research into tangible business value. The role appeals to candidates seeking to work on cutting-edge AI infrastructure in a culture that prioritizes innovation, ethical AI development, and high-impact research. While the listing mentions specific locations, the position emphasizes a collaborative environment where researchers can pursue a personal research agenda and drive the next generation of customer interactions.

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. Key responsibilities include 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 position appeals to technical leaders who want to shape the future of banking by applying cutting-edge research to real-world customer experiences. The role offers the opportunity to work on high-impact, undefined problems within a collaborative environment that values innovation and responsible AI development.

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 workloads for large language model training and inference. Key responsibilities include developing control and data plane implementations, automating operational workflows, and leading technical execution for complex projects. The role appeals to engineers seeking to shape the future of responsible AI in a collaborative environment that values innovation, mentorship, and cross-functional collaboration. It offers remote eligibility and the opportunity to influence technology strategy within a leading financial institution.

This 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, implementing state-of-the-art optimization techniques to enhance system performance and cost-efficiency, and collaborating with cross-functional partners to deliver responsible AI products. The role appeals to technical leaders who thrive on solving undefined problems and applying cutting-edge research to real-world banking challenges. It offers the opportunity to shape the long-term technical vision of foundational AI systems while working with a diverse stack of open-source and cloud technologies in a culture dedicated to transforming banking through innovation.

The Applied Researcher II role within Capital One's AI Foundations team focuses on developing and deploying trustworthy artificial intelligence systems to transform banking experiences. Key responsibilities include building AI foundation models from design through production, leveraging technologies like PyTorch and AWS to analyze vast datasets, and collaborating with cross-functional teams to integrate state-of-the-art research into customer-facing products. The position appeals to innovative researchers passionate about solving undefined problems and driving the next generation of intelligent services. It offers a dynamic environment where candidates can pursue a personal research agenda, publish findings, and work with cutting-edge tools in a culture that values both technical excellence and ethical decision-making. The role is based in major hubs including Cambridge, McLean, New York, and San Jose.

This distinguished AI engineering role at Capital One focuses on building responsible and scalable AI systems for 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 collaborating with cross-functional partners to deliver AI-powered products, leveraging technologies like PyTorch and AWS, and contributing to the long-term technical vision for the organization. The role appeals to candidates seeking to apply cutting-edge research in a high-impact environment that values innovation, technical excellence, and ethical AI practices. It offers the opportunity to work on transformative banking solutions while engaging with a collaborative culture that supports professional growth and complex problem-solving.

This Senior Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI infrastructure for the banking sector. The position involves designing and deploying large language model systems, including foundation model training, inference optimization, and implementing guardrails for safety. Key responsibilities include collaborating with cross-functional partners to deliver AI-powered products, inventing state-of-the-art optimization techniques for latency and cost, and contributing to the long-term technical roadmap. The role is appealing for its opportunity to lead the development of transformative AI solutions that reimagine customer experiences while working with a cutting-edge stack of open-source and cloud technologies. The position offers a collaborative environment where engineers can tackle undefined problems and drive innovation in a mission-driven culture.

This senior lead machine learning engineering role places the candidate within an Agile team focused on productionizing machine learning applications at scale. Key responsibilities include designing and building ML models to solve business problems, developing optimized data pipelines, and ensuring high availability and performance of deployed systems. The position requires leading teams, managing model governance, and utilizing cloud-based architectures for scalable solutions. The role is appealing due to the opportunity to apply the latest innovations in machine learning engineering, work with state-of-the-art big data technologies, and contribute to a culture of continuous learning and responsible AI. The position involves collaboration with product and data science teams to deliver impactful software solutions.

This senior lead machine learning engineering 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, developing optimized data pipelines, and managing the full lifecycle of model deployment, monitoring, and retraining. The position requires leading teams while ensuring high availability, performance, and responsible AI practices using cloud-based architectures. The role is appealing for its opportunity to apply the latest innovations in machine learning engineering, work with cross-functional teams on state-of-the-art big data solutions, and drive technical leadership in a collaborative environment.

This full-time Lead Machine Learning Engineer role is based within an Agile team at Capital One, focusing on the productionization of machine learning applications at scale. The position involves designing and building ML models to solve real-world business problems, constructing optimized data pipelines, and ensuring high availability and performance of deployed systems. Key responsibilities include collaborating with product and data science teams, implementing continuous integration and deployment practices, and maintaining responsible AI governance. The role appeals to candidates seeking to apply the latest innovations in cloud-based architectures and distributed computing while working with cross-functional teams. It offers a collaborative environment focused on technical growth and the opportunity to lead the development of state-of-the-art big data solutions.

This senior leadership role involves leading an Agile team to design, build, and productionize machine learning applications at scale within the financial sector. Key responsibilities include architecting ML systems, developing optimized data pipelines, and managing the full lifecycle of models from training to deployment and monitoring. The position requires collaboration with product and data science teams to solve complex business problems while ensuring high availability, performance, and responsible AI practices. The opportunity is appealing due to the chance to work with emerging technologies in a cloud-based environment, lead cross-functional initiatives, and continuously apply the latest innovations in machine learning engineering. The role supports a collaborative culture focused on technical excellence and professional growth.

This Applied Researcher I role within Capital One's AI Foundations team focuses on developing trustworthy AI systems and large language models to transform banking experiences. Key responsibilities include building and fine-tuning foundation models, conducting high-impact research on reinforcement learning and optimization, and collaborating with cross-functional teams to deploy scalable AI solutions. The position offers the opportunity to work with cutting-edge technologies like PyTorch and AWS while contributing to a culture that values innovation, ethical AI practices, and solving undefined problems. The role supports a mission to bring humanity and simplicity to financial services through advanced machine learning.

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 model performance for latency and cost, and implementing governance and observability tools using technologies like PyTorch and AWS. This position appeals to technical leaders who thrive on solving undefined problems and applying cutting-edge research to real-world products. The role offers the opportunity to shape the long-term technical vision of foundational AI while working in a collaborative environment that values innovation and high-quality engineering.

The Applied Researcher I role within Capital One's AI Foundations team focuses on developing trustworthy AI systems to transform banking experiences. Key responsibilities include building and training large-scale foundation models, leveraging technologies like PyTorch and AWS to extract insights from vast data sets, 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 supports a culture of innovation and continuous learning, allowing researchers to define their own agendas while working with state-of-the-art tools in a collaborative environment.

The Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable AI systems to transform banking services. 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 candidates seeking to apply state-of-the-art research to real-world problems while contributing to a technical vision that impacts millions of customers. The role offers the opportunity to work in a collaborative environment that values innovation, technical excellence, and the mission of bringing humanity to financial services.