Jobs at Capital Health (US)

The Associate Nurse Manager role supports daily operations within the Medicine Surgery unit of an acute care hospital. The position involves supervising nursing and ancillary staff, developing schedules, and managing budget and quality initiatives to ensure high-quality patient outcomes. Key responsibilities include mentoring team members, overseeing clinical compliance with regulatory standards, and collaborating with multidisciplinary groups to improve unit efficiency. This full-time position offers a hybrid schedule combining clinical shifts with office-based management duties. The role appeals to experienced nurses seeking leadership growth within a collaborative environment dedicated to patient-centered care and operational excellence.

This full-time Sleep Medicine Physician role is based in Madison, Wisconsin, within SSM Health's collaborative outpatient team of eight physicians and six advanced practice providers. The position focuses on delivering high-quality sleep care through a hybrid work arrangement that includes telemedicine and outreach clinic locations, with no call responsibilities. Key duties involve managing patient care in a supportive environment utilizing the Epic EMR system. The role appeals to clinicians seeking a flexible schedule, front-loaded paid time off, and opportunities for professional growth within a large not-for-profit health system. The position offers a chance to join a mission-driven organization in a vibrant city known for its natural beauty and cultural diversity.

This PRN Non-Invasive Cardiologist role is based at SSM Health St. Mary's Hospital in Madison, Wisconsin, supporting a highly-rated 440-bed facility recognized for excellence in cardiac and trauma care. The position involves providing specialized diagnostic and treatment services within a collaborative outpatient center environment. Key responsibilities include performing non-invasive cardiac evaluations and contributing to the hospital's mission of advancing medicine through innovation and community service. The opportunity appeals to clinicians seeking to join a legacy of healing within a vibrant city known for its natural beauty, educational resources, and cultural diversity. The role offers the flexibility of a PRN schedule while allowing professionals to work alongside a supportive team dedicated to elevating patient care.

This full-time outpatient Endocrinology role is based in Albuquerque, New Mexico, within a supportive team of three physicians and an NP at Lovelace Medical Group. The position focuses on general endocrinology care with no hospital rounding required, featuring an expected patient load of 20 to 22 daily and limited clinic call duties. Key responsibilities include utilizing Epic EMR and Ambience AI scribe technology to streamline documentation and enhance patient flow. The role appeals to providers seeking a collaborative environment with access to a broad network of specialists, generous administrative time, and a high quality of life supported by the region's sunny climate and outdoor activities. The position is onsite with no travel required.

This full-time outpatient pediatric physician role is based in Madison, Wisconsin, within a stable and growing practice of four established providers at SSM Health Dean Medical Group. The position focuses primarily on outpatient care with minimal inpatient responsibilities, including occasional newborn rounding and minor procedures. The role appeals to board-eligible or board-certified physicians seeking a strong work-life balance in a collaborative environment without academic obligations. Candidates benefit from joining a large, not-for-profit health system with a long healing legacy, while enjoying the vibrant urban life and natural beauty of Madison. The arrangement is primarily on-site with a supportive team structure designed for long-term professional growth.

The role involves an Internal Medicine Physician position within the SSM Health Dean Medical Group at the South Madison Campus in Madison, Wisconsin. The physician will join a large Catholic not-for-profit health system to deliver exceptional patient care while collaborating with a team of over 15,000 providers. Key responsibilities include diagnosing and treating adult patients, managing chronic conditions, and participating in a culture that encourages innovation and professional growth. The position is appealing due to the organization's deep healing legacy, supportive environment, and the opportunity to serve a diverse community in a vibrant city known for its natural beauty, education, and sustainability.

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.

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 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.

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.

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.

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.

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 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.

The Senior Manager, Product Management role for Associate Experience leads a newly formed team dedicated to the technology foundation supporting over 70,000 employees. The position focuses on building secure, frictionless platforms for devices, authentication, and software discovery while balancing strict security protocols with user productivity. Key responsibilities include defining product roadmaps, negotiating with vendors, influencing cybersecurity policy, and driving cross-functional alignment with engineering and executive leadership. This opportunity is appealing due to the high level of autonomy in building a team from scratch, the chance to solve complex, ambiguous problems, and the mission to transform internal technology experiences. The role operates within a collaborative culture that values platform thinking and offers flexibility across various office locations.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing and deploying trustworthy, large-scale AI systems to transform banking experiences. The position involves partnering with cross-functional teams to build foundation models from design through production, leveraging technologies like PyTorch and AWS to extract insights from massive datasets. Key responsibilities include conducting high-impact research on emerging AI methods, optimizing training and inference for deep learning models, and translating complex technical concepts into tangible business value. The role appeals to candidates seeking to work at the intersection of cutting-edge research and real-world application within a collaborative culture that values innovation, ethical AI practices, and professional growth. The position is based in McLean, New York, or San Jose, with opportunities to drive the next generation of customer-facing intelligent products.

This Senior Manager, Machine Learning Engineering role leads an Agile team within Capital One focused on productionizing machine learning applications at scale. The position involves designing ML architectures, developing and reviewing model code, and building optimized data pipelines to solve complex business problems. Key responsibilities include managing model retraining and monitoring, ensuring high availability and performance, and enforcing responsible AI governance. The role appeals to candidates seeking to apply the latest innovations in distributed computing and cloud platforms while leading cross-functional teams. It offers a collaborative environment where professionals can continuously learn and drive technical strategy for state-of-the-art big data solutions.

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 secure, user-centric platforms for devices and software while balancing zero-trust security with seamless productivity. Key responsibilities include defining product roadmaps, negotiating with vendors, influencing cybersecurity policy, and driving strategic initiatives to reduce friction in the internal technology experience. The role is particularly appealing due to the opportunity to build a new team from scratch with significant autonomy, work directly with executive stakeholders, and apply rigorous product thinking to complex internal challenges. The position offers a collaborative environment where reducing daily friction for the workforce is valued as a core business outcome.

This senior lead machine learning engineering role places the candidate within an Agile team focused on productionizing scalable machine learning applications at Capital One. 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 code quality, system performance, and adherence to responsible AI practices. The role is appealing for its opportunity to work with emerging technologies, drive innovation in big data solutions, and foster a collaborative culture that values continuous learning and technical excellence.