
location_onNYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States
At Capital One, we are creating responsible and reliable AI systems to change banking for good. For years, we have been an industry leader in using machine learning to create real-time, personalized customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking.
We are committed to building world-class applied science and engineering teams to deliver industry-leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. In this role, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve the customers and businesses that have come to love our products and services.
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with partners across the company to advance the state of the art in science and AI engineering. Our team builds and deploys proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI in responsible and scalable ways for the highest leverage impact.
This role is for a resilient trailblazer who loves to build systems and takes pride in the quality of their work. You will share our passion to do the right thing and tackle problems that help change banking for good. You will adapt quickly, thriving on bringing clarity to big, undefined problems. You will love asking questions and digging deep to uncover the root of problems, articulating your findings concisely with clarity. You will have the courage to share new ideas even when they are unproven, forging new paths to achieve business goals when the route is unknown.
This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
If you require an accommodation to apply for a position or to complete the application process, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information provided will be kept confidential and used only to the extent required to provide needed reasonable accommodations.
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. We promote a drug-free workplace and will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws. Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being.
Work model: On-site
NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States
New York, New York
6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud). Experience designing, developing, delivering, and supporting AI services. Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang. Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production.
Capital One • New York, New York
Capital One • New York, New York
Capital One • New York, New York
Skills: Machine Learning, Ai, Aws, Huggingface, Vectordbs, Nemo Guardrails, Pytorch, LLM Inference, Similarity Search, Python.
Education: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields; Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields.