Jobs at The Center for Educational Innovation

This distinguished individual contributor role within Capital One's AI Foundations team focuses on developing trustworthy and scalable AI systems to transform banking experiences. The position involves leading strategic research initiatives, building large-scale foundation models from design through implementation, and collaborating with cross-functional teams to deliver high-impact AI products. Key responsibilities include leveraging advanced technologies like PyTorch and AWS to analyze complex data, mentoring applied scientists, and representing the company within the global research community. The role is appealing for its opportunity to drive the next generation of customer interactions, work with cutting-edge machine learning methodologies, and influence technical direction without direct people management. The position supports a culture of innovation and requires a blend of deep technical expertise and strong interpersonal skills to translate research into tangible business value.

This full-time physician role involves joining the Division of Allergy and Immunology at Phoenix Children's to treat a diverse pediatric population ranging from common allergies to complex primary immunodeficiencies. The position covers inpatient and outpatient care, including diagnostic procedures, urgent consultations, and follow-up services across multiple valley locations. Key responsibilities include supervising medical trainees, participating in academic teaching rounds, and contributing to clinical research in areas such as food allergy and asthma. The opportunity is appealing due to the collaborative environment with Mayo Clinic Arizona, offering faculty appointments and fellowship training access. The role supports a mission-driven culture focused on family-centered care and innovation, providing a dynamic setting for professional growth within a busy, expanding practice.

This full-time Allergist Immunologist role supports the Division of Allergy and Immunology at Phoenix Children's, focusing on inborn errors of immunity and complex immunodeficiencies. The physician will deliver comprehensive inpatient and outpatient care, manage urgent cases, and lead multidisciplinary clinics while collaborating with a team of eleven providers across multiple valley locations. Key responsibilities include supervising pediatric residents and fellows, conducting medical education activities, and participating in clinical research regarding food allergies and asthma. The position is appealing due to its academic affiliation with Mayo Clinic Arizona and major medical schools, offering opportunities for faculty appointments and fellowship training. The role combines high-impact patient care with a mission-driven culture centered on family-centered care and innovation within a growing, busy practice.

This 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 language model infrastructure, including training, inference, and optimization techniques to enhance performance and reduce costs. Key responsibilities include collaborating with cross-functional teams to deliver AI-powered products, implementing guardrails and governance frameworks, and leveraging technologies like PyTorch and AWS to solve complex engineering challenges. 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 deployment. While the listing mentions specific locations, the team operates with a focus on high-impact, scalable solutions that directly improve customer experiences.

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.

This full-time Registered Nurse role is based at UCHealth Anschutz Inpatient Pavilion in Aurora, Colorado, within a specialized unit dedicated to solid organ transplants, thoracic surgery, and hepatology. The position involves providing high-acuity direct patient care using the nursing process, collaborating with a multidisciplinary team to achieve exceptional clinical outcomes, and precepting new healthcare professionals. The role operates on a rotating day and night shift schedule. The position is appealing due to the opportunity to work in a pioneering academic medical center that offers extensive clinical education support, a culture focused on innovation and patient connection, and comprehensive benefits including tuition assistance and loan forgiveness program support.

This Lead AI/ML Engineer role within the Intelligent Foundations and Experiences team focuses on building scalable, responsible AI infrastructure and platforms at Capital One. Key responsibilities include designing and deploying large language model systems, optimizing foundation model training and inference for performance and cost, and implementing governance and observability tools using technologies like Kubeflow and PyTorch. The position appeals to technical leaders who thrive on solving undefined problems and applying cutting-edge research to real-world banking challenges. The role offers the opportunity to shape the long-term technical vision for AI while working in a collaborative environment that values innovation, quality, and the mission to transform banking for good.

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.

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 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.

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.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing and deploying large-scale AI systems to transform customer 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 with a collaborative culture that values innovation and ethical AI practices. The position requires a strong engineering mindset to deliver models at scale and supports professional growth through engagement with emerging technologies and high-impact research agendas.

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, optimizing LLM performance for cost and latency, and implementing governance and observability tools using technologies like PyTorch and AWS. The role appeals to candidates seeking to apply cutting-edge research to real-world banking challenges while contributing to a culture of responsible AI innovation. The team collaborates cross-functionally to deliver high-impact products, offering opportunities for technical growth and shaping the future of AI systems in a major financial institution.

This senior distinguished AI engineering role at Capital One focuses on building responsible and scalable AI systems within 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 partnering with cross-functional teams to deliver AI-powered products, leveraging technologies like PyTorch and AWS, and contributing to the long-term technical vision for foundational AI. The role appeals to candidates passionate about applying cutting-edge research to transform banking, offering the opportunity to solve undefined problems in a collaborative environment that values technical excellence and innovation. The position is based in various US locations including Cambridge, McLean, New York, Richmond, San Francisco, and San Jose.

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.

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 distinguished AI engineering role at Capital One focuses on building responsible and scalable AI systems within 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 open-source technologies, and shaping the long-term technical vision for foundational AI infrastructure. The role appeals to candidates seeking to apply cutting-edge research to real-world banking challenges while working in a culture that values innovation, technical excellence, and ethical AI deployment. The position is based in various US locations including Cambridge, McLean, New York, Richmond, San Francisco, and San Jose.

This Applied Researcher II 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, leveraging technologies like PyTorch and AWS to extract insights from vast datasets, and collaborating with cross-functional teams to deploy scalable AI solutions. The role appeals to candidates seeking to apply cutting-edge research in a high-impact environment where innovation directly improves customer interactions. It offers the opportunity to lead a research agenda, publish findings, and work with state-of-the-art infrastructure in a culture that values technical excellence and ethical AI development. The position is based in major hubs including Cambridge, McLean, New York, and San Jose.

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.