Jobs at One Rheumatology: Clifford Stermer, M.D.

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.

The Manager, Data Science - AI Foundations role leads the AI Foundations Specialist Models team within Capital One's mobile app division. The position focuses on designing and deploying scalable generative AI solutions, including Large Language Models and Natural Language Processing systems, to enhance customer interactions. Key responsibilities involve partnering with cross-functional teams to operationalize machine learning models for millions of users, leveraging technologies like PyTorch and AWS, and translating complex technical concepts into business value. The role is appealing for its opportunity to drive innovation at scale within a data-centric culture, offering a chance to shape next-generation financial experiences while fostering talent development and challenging conventional thinking.

This Principal Data Scientist role within the AI Foundations team focuses on developing scalable machine learning and natural language processing solutions for Capital One's mobile applications. The position involves leading the design, training, and operationalization of large language models to power features like the Eno digital assistant and personalized customer experiences. Key responsibilities include collaborating with cross-functional product and engineering teams, leveraging technologies such as PyTorch and AWS, and translating complex AI concepts into tangible business value. The role is appealing for its opportunity to drive innovation at a massive scale serving over 80 million customers, offering a dynamic environment where emerging generative AI technologies are actively applied to solve undefined problems. The position supports a customer-first culture and emphasizes professional growth through talent development and technical leadership.

The Business Director- Card Technology Strategy role leads strategic initiatives within the Card Technology Strategy team at Capital One, partnering with senior leadership to define the division's technology agenda. Key responsibilities include developing business strategies to drive growth and profitability, managing product and pricing strategies through data modeling, and overseeing multiple concurrent projects while mentoring analysts. The position appeals to candidates seeking a collaborative environment that values innovation, continuous learning, and the opportunity to solve complex challenges in a fast-paced financial services setting. The role requires strong analytical and leadership skills to influence stakeholders across technology, product, and business units.

This Manager, Product Management role within Capital One's Enterprise Payments team focuses on defining the digital payments roadmap and modernizing legacy systems into a cloud-based, real-time environment. The position involves shaping product strategy, collaborating with cross-functional teams of engineers and designers, and delivering intuitive payment experiences for diverse customer segments. The role is appealing for its opportunity to drive innovation in a tech-centric culture that is redefining industry standards for faster payments. It offers a dynamic environment where candidates can leverage technology to solve complex problems and lead transformational initiatives while working on high-impact projects that blend digital design with backend integration.

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 full-time Senior Financial Analyst role supports the Retail Bank Finance Team at a company dedicated to visual storytelling and data-driven decision-making. The position involves leading financial reporting, budgeting, forecasting, and variance analysis while managing Profit & Loss statements. Key responsibilities include collaborating with system analysts to develop financial models, coordinating data collection across departments to ensure integrity, and creating business presentations to communicate insights to senior leadership. The role appeals to professionals seeking to challenge existing processes for greater efficiency and to partner with business units on strategic direction. It offers a collaborative environment focused on sustainable performance and professional growth within a comprehensive benefits framework.

This Director of Product Management role leads the Developer Experience team at Capital One, focusing on building a world-class CI/CD platform for over 1,800 software development teams. The position involves defining multi-year strategies for deployment pipelines, managing operational risk while enhancing customer experience, and collaborating cross-functionally with engineering, security, and compliance stakeholders to drive product roadmaps. The role is appealing for its opportunity to shape the future of enterprise software delivery, foster a culture of innovation, and work on high-impact technology that supports the company's mission to transform banking. The position requires deep empathy for developer needs and offers a dynamic environment where strategic vision directly influences the quality of life for internal customers.

This senior distinguished machine learning engineering role provides technical leadership to teams focused on productionizing large-scale ML applications within the financial services sector. Key responsibilities include designing and implementing complex ML models using Python, Scala, and C++, optimizing data pipelines for high-performance computing, and guiding architectural decisions for cloud-based systems. The position appeals to experts seeking to drive state-of-the-art intelligent systems while mentoring engineers and shaping engineering best practices. The role offers a collaborative environment where professionals can continuously apply cutting-edge innovations and contribute to the company's technological evolution.

The Compliance Testing Manager leads the second line of defense within the Integration Testing Team at Discover Financial Services, overseeing transaction and control testing to ensure adherence to federal regulations. Key responsibilities include managing a team of compliance testers, developing and validating test plans, and evaluating data quality and sourcing processes. The role involves mentoring staff, coordinating with business and IT partners, and driving improvements in testing tools and metrics. This position offers a dynamic environment focused on risk mitigation and regulatory compliance, providing opportunities for professional growth through certification and leadership development within a collaborative financial services organization.

This Senior Lead Machine Learning Engineer role sits within an Agile team focused on productionizing AI and ML systems for Capital One's Credit and Financial Risk Management products. The position involves leading engineering pods, designing scalable AI architectures, and building intelligent applications using technologies like LLM inference and agentic AI. Key responsibilities include mentoring teams, developing robust data pipelines, ensuring model governance and responsible AI practices, and managing the full lifecycle of model deployment and monitoring. The role appeals to candidates seeking to apply cutting-edge machine learning innovations in a collaborative environment while working with a broad stack of cloud-based technologies. The position is based in various US locations including Cambridge, McLean, New York, and Richmond.

This full-time Investment Banking Associate role at TripleTree focuses on mergers and acquisitions within the healthcare sector. The position involves preparing financial models and valuations, conducting industry due diligence, and creating client presentations and marketing materials. Associates play a critical part in the entire transaction lifecycle, from initial market preparation to deal closure, while also assisting in mentoring junior analysts. The role offers substantial opportunities for professional growth, technical expertise, and upward mobility within a collaborative team. Candidates will work closely with clients and advisors to cultivate relationships and develop strategic insights. The position is based in Bloomington, Minnesota, or New York, New York.

This Principal Associate Data Scientist role within Capital One's Mainstreet Acquisitions team focuses on developing and governing advanced credit underwriting models to deliver personalized financial offers. The position involves conducting statistical modeling experiments, engineering features from diverse data sources, and building machine learning solutions across the full development lifecycle. Key responsibilities include partnering with cross-functional stakeholders to establish modeling standards and translating complex technical insights into tangible business goals. The role appeals to candidates seeking a collaborative, informal culture that values innovation and intellectual challenge. It offers the opportunity to work with cutting-edge technologies like Python, AWS, and Spark on a large scale, driving real-time decision-making for millions of customers.

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.

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.

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.

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 the broader Finance culture while working in a collaborative environment that values data-driven judgment and talent development. This full-time position is based in McLean or Richmond, Virginia.

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.

The Senior Risk Associate role within Capital One's Enterprise Data Risk Management team focuses on overseeing data risk to protect customers and ensure operational sustainability. Key responsibilities include testing and validating data management controls across business lines, analyzing data to identify emerging risks and trends, and collaborating with stakeholders to implement robust data governance practices. The position appeals to candidates seeking a forward-thinking environment where they can drive transformation, automate processes, and influence the organization's data maturity journey. The role requires strong analytical and communication skills to effectively challenge and support business units in managing data risk within a dynamic technology landscape.

This Director-level role within the External Data Strategy team at Capital One leads a group of 10 to 15 data scientists in building advanced analytics and machine learning models. The position involves overseeing the full data lifecycle, from sourcing external data and designing feature pipelines to implementing scalable solutions using Python, Spark, and AWS. Key responsibilities include partnering with cross-functional teams to drive business insights, providing technical guidance, and developing talent within the organization. The role appeals to candidates seeking to leverage big data to improve customer financial outcomes within a company that values innovation and data-driven decision-making. It offers the opportunity to work at scale across billions of records while fostering a culture of technical excellence and strategic leadership.

This distinguished AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building an enterprise Generative AI platform for agentic workflows. The position involves designing the core framework for agent orchestration, developing shared services like memory and guardrails, and standardizing patterns across major frameworks to ensure scalable, production-grade applications. Key responsibilities include creating developer tools such as SDKs and CLI kits to accelerate prototyping, implementing trust and safety measures to prevent incidents, and optimizing system performance for multi-tenant environments. The role appeals to senior engineers seeking to lead high-impact innovation in responsible AI, offering the opportunity to mentor staff-level engineers, influence cross-functional architecture, and represent the company at major industry conferences. The position is based in major hubs including Cambridge, McLean, New York, and San Francisco.