Jobs at New York State Unified Court System

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 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.

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 performance for large-scale model training and inference workloads. Key responsibilities include developing control and data plane implementations, automating operational workflows, and leading technical execution for complex projects involving generative AI and transformer models. The role appeals to technical leaders seeking to shape the future of responsible AI in banking, offering the opportunity to mentor talent, influence system design, and work within a collaborative culture that values innovation. This position is eligible for remote work, allowing engineers to contribute to high-impact technology solutions from anywhere.

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 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 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 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 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 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 Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI systems for the banking sector. 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 technical leaders who enjoy solving undefined problems and applying cutting-edge research to real-world products. The team offers a collaborative environment dedicated to transforming customer experiences through innovation, with opportunities to shape the long-term technical vision of foundational AI infrastructure.

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.

The role involves leading the Enterprise Product and Experience team at Capital One, focusing on reimagining customer experiences through technology and data transformation. Key responsibilities include driving cross-functional collaboration among engineering, design, and data science groups to deliver innovative digital products, while applying human-centered and business-focused strategies to solve complex problems. The position offers an appealing environment for growth within a vibrant product culture that values innovation and transformational leadership. The team operates with a focus on integrated problem-solving to create industry-defining platforms for associates and customers.

This senior lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable Gen AI platform services. The position involves designing and deploying large-scale AI systems, including foundation model training, LLM inference, and implementing guardrails using technologies like PyTorch and AWS. Key responsibilities include optimizing model performance for cost and latency, contributing to the technical roadmap, and collaborating with cross-functional partners to deliver innovative banking solutions. The role appeals to candidates seeking to apply cutting-edge research in a high-impact environment that values technical excellence and ethical AI development. It offers the opportunity to lead the creation of transformative customer experiences while working with a world-class engineering team.

The Distinguished AI Engineer role at Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable AI systems that transform banking services. Key responsibilities include designing and deploying large-scale AI components such as foundation model training and LLM inference, optimizing system performance for cost and latency, and collaborating with cross-functional partners to deliver innovative product experiences. This position appeals to technical leaders who thrive on solving undefined problems and shaping the long-term technical vision for AI infrastructure. The role offers the opportunity to work with cutting-edge open-source technologies and a collaborative culture dedicated to bringing humanity and simplicity to financial services.

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, training, and validating foundation models while collaborating with cross-functional teams of engineers and product managers to deploy scalable AI solutions. Key responsibilities include leveraging advanced 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 research in a collaborative environment that values innovation and ethical decision-making. It offers the opportunity to lead impactful projects that redefine customer interactions, with a strong emphasis on professional growth and technical excellence.

This Director of Product Management role leads the Developer Experience team at Capital One, focusing on building a world-class CI/CD platform for 1,800 software development teams. The position involves setting multi-year strategies for deployment pipelines, managing operational risk while enhancing customer experience, and collaborating cross-functionally with engineering, security, and compliance stakeholders. The role is appealing due to its central impact on the company's cloud mission, offering the opportunity to shape industry-leading tools that improve developer productivity and security. The position requires deep empathy for developer needs and strong leadership to drive a platform that is intuitive, reliable, and automated across the enterprise.

This senior director role leads the product management team within Capital One's Cloud Operations Resilience Engineering organization, focusing on operational intelligence and observability. The position is responsible for overseeing tools that enable the collection and analysis of data across software, databases, security, and infrastructure assets to ensure system performance and resilience. Key duties include driving product strategy to reimagine technology solutions, leading cross-functional teams to solve complex problems, and aligning technology with business and risk imperatives. The role appeals to leaders seeking to shape a vibrant product culture that values human-centered innovation and transformational leadership. It offers the opportunity to manage critical technology assets at scale within a digital-first financial institution, with a focus on delivering sustainable customer experiences through advanced data governance and monitoring.

This Lead Machine Learning Engineer role within Capital One's GenAI Workflows Serving team focuses on designing and productionizing Generative AI applications and Agentic Workflow systems at massive scale. The position involves building robust ML serving architectures using Python and Go, implementing cloud-native platforms with Kubernetes and AWS, and establishing advanced MLOps practices for continuous deployment. Key responsibilities include developing high-performance code, ensuring low latency and security for AI solutions, and collaborating with product and data science teams to solve complex business problems. The role appeals to engineers seeking to lead innovation in a collaborative Agile environment while working with cutting-edge technologies like service meshes and scalable data pipelines. The position is based in major US hubs including Cambridge, McLean, New York, and San Francisco.

This senior leadership role within Capital One's Alternative Renewable Energy team focuses on tax equity transactions for wind, solar, and storage investments. The position combines underwriting new deals with managing an existing portfolio, requiring deep expertise in credit risk and financial modeling. Key responsibilities include conducting due diligence, analyzing market trends, structuring complex transactions, and leading quarterly portfolio reviews to ensure asset performance. The role appeals to experienced professionals seeking to drive growth in the sustainable energy sector while mentoring junior analysts and collaborating across business functions. The position is based in Charlotte, Houston, or New York and involves direct interaction with clients and internal stakeholders to support scalable business expansion.