Jobs at McLean Family Dentistry

This full-time Engineering Technician III role within BAE Systems Intelligence & Security focuses on fabricating cable assemblies and electrical systems based on engineering drawings and schematics. The position involves building complex units, providing quality oversight and training to junior technicians, and utilizing various hand and power tools. The role appeals to candidates seeking to contribute to national security missions while working in a supportive environment that offers comprehensive health benefits, retirement savings, and paid time off. Candidates must hold a security clearance and be willing to work on-site in St. Mary's County, Maryland, with potential travel up to 25%.

This senior business analyst role within Capital One Shopping focuses on driving strategic growth for a fast-expanding consumer app. The position involves identifying business challenges, performing complex 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 like IT and Finance, and leading implementation efforts to improve operational efficiency. The role appeals to analytical problem solvers seeking a dynamic environment that values innovation and continuous learning. It offers remote eligibility and the opportunity to work on a mission to transform online shopping while contributing to sustainable sales growth for merchant partners.

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.

This full-time Modeling and Simulation Engineer role supports the U.S. Navy's SLCM-N program as a prime contractor for BAE Systems. The position focuses on developing and integrating models to validate subsystems across interface, system design, and architecture layers. Key responsibilities include utilizing programming languages like C++ and Python to create simulation frameworks, collaborating with cross-functional teams on system integration, and establishing standards for modeling and visualization. The role offers the appeal of contributing to a critical national security legacy with a program spanning over a century, providing exceptional job stability and significant professional growth opportunities within a global defense leader. The position requires a security clearance and is based in the SLCM-N program environment.

This full-time on-site role at the Washington Navy Yard supports a critical U.S. Navy weapon system as a System Administrator for BAE Systems. The position focuses on managing a classified digital engineering environment, with key responsibilities including installing, hardening, and tuning VMware infrastructure and storage area networks, administering mixed Windows Server and RHEL systems, and developing automation scripts to streamline operations. The role appeals to candidates seeking to contribute to national security through a stable, decades-long program with significant professional growth opportunities. The position requires an active Top Secret clearance and involves occasional travel to off-site locations.

This management role leads a specialized team within Capital One's AI Foundations, focusing on building next-generation recommendation and personalization systems for web and mobile platforms. The position involves architecting high-scale machine learning models using technologies like Python, AWS, and Transformer-based architectures, while collaborating with cross-functional groups to translate complex data insights into tangible business value. The team operates at the intersection of deep research and real-world impact, utilizing cutting-edge methods such as reinforcement learning and causal inference to serve billions of customer interactions. The role is appealing for its opportunity to drive innovation in a data-centric culture, offering the chance to work on state-of-the-art projects that directly improve customer financial experiences. The position is based in McLean, New York, or San Jose.

This Senior Associate role within the SEC Accounting team focuses on driving financial reporting automation and enhancing user experiences for the Workiva platform. The position serves as a strategic liaison between business needs and technology, requiring the individual to design, configure, and support external reporting systems within an Agile environment. Key responsibilities include translating business requirements into technical epics, managing project risks and dependencies, and collaborating with cross-functional stakeholders to solve complex operational challenges. The role appeals to candidates passionate about agile best practices and digital product development, offering opportunities to shape the future of financial reporting tools. The position is based in various US locations including Chicago, McLean, Richmond, and Wilmington, with a hybrid or on-site work arrangement depending on the specific office.

This Director-level role leads the External Data Strategy team at Capital One, focusing on building data pipelines and machine learning models to understand customer financial lives. The position involves managing a team of 10 to 15 data scientists, overseeing the full data lifecycle from sourcing to implementation, and partnering with cross-functional groups to deliver strategic insights. Key responsibilities include leveraging technologies like Python, Spark, and AWS to develop advanced analytics and translating complex data work into tangible business goals. The role is appealing for its opportunity to drive disruption at scale within a Fortune 200 company, offering a culture that prioritizes customer impact, talent development, and technical innovation. The position is based in McLean, Virginia or New York, New York.

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 through continuous integration and deployment practices. The position requires collaboration with product and data science teams to manage model retraining, monitoring, and governance while leveraging cloud-based architectures. The role is appealing for its opportunity to apply the latest innovations in machine learning engineering within a collaborative environment that values responsible AI. The position is based in McLean, VA, New York, NY, or Plano, TX, with a hybrid work arrangement involving on-site collaboration.

This Senior 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. Key responsibilities include designing and deploying large language model systems, optimizing training and inference for performance and cost, and establishing governance and observability for production AI. The position offers the opportunity to work with cutting-edge technologies like PyTorch and AWS while shaping the technical vision for foundational AI. The role is appealing for its mission to bring humanity to banking through innovation, offering a collaborative environment where engineers can solve undefined problems and mentor teams. The position is based in major US hubs including Cambridge, McLean, New York, and San Jose.

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.

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.

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.

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.

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 Senior Manager role leads a Machine Learning Engineering team within an Agile environment focused on productionizing ML applications at scale. The position involves designing ML architectures, developing and optimizing models using Python or Java, and building robust data pipelines to support business solutions. Key responsibilities include managing cross-functional collaboration, ensuring high availability and performance of deployed systems, and enforcing responsible AI governance. The role appeals to leaders seeking to drive innovation with emerging technologies while mentoring teams in a culture that values continuous learning and technical excellence. The position is based in McLean, VA or New York, NY.

This lead AI engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible generative AI platforms and LLM infrastructure. The position involves designing and deploying scalable AI components such as foundation model training, inference systems, and guardrails while leveraging technologies like PyTorch and AWS. Key responsibilities include optimizing large-scale production systems for performance and cost, collaborating with cross-functional partners to deliver AI-powered products, and contributing to the long-term technical vision for foundational AI. The role appeals to candidates passionate about applying cutting-edge research to real-world banking challenges, offering the opportunity to work on high-impact problems that transform customer experiences. The position is based in major US hubs including Cambridge, McLean, New York, and San Francisco.

This Senior Manager role leads the Associate Experience Endpoints team within Capital One's Product Management division, focusing on the technology foundation for over 70,000 employees. The position involves building product-led solutions that balance zero-trust security with seamless user productivity, negotiating with vendors, and shaping cybersecurity policy. Key responsibilities include defining roadmaps for a new team from scratch, reducing friction in device and software experiences, and driving organizational alignment across engineering, legal, and executive stakeholders. The role is appealing due to the high autonomy to shape a new function, the opportunity to solve complex, ambiguous problems, and the chance to prove that security and exceptional user experience can coexist. The position is based in various US locations including Chicago, McLean, New York, Richmond, and Riverwoods.

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 a collaborative finance culture while working directly with cross-functional teams to balance data-driven analysis with strategic judgment. This full-time role is based in McLean or Richmond, Virginia, and focuses on high-impact leadership within a results-driven organization.

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 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.

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 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.