Distinguished AI Engineer
Not Disclosed•Full-TimeOn-site
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. Our investments in technology infrastructure and world-class talent position us to be at the forefront of enterprises leveraging AI. 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.
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. We build and deploy 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.
As a Distinguished AI Engineer, you will play a crucial role in architecting and launching conversational experiences powered by state-of-the-art Generative AI capabilities for millions of Capital One customers. You will partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the technical vision and long-term roadmap of foundational AI systems, inventing and introducing state-of-the-art LLM optimization techniques to improve performance, scalability, cost, latency, and throughput of large-scale production AI systems.
You are a resilient trailblazer who loves to build systems and takes pride in the quality of your work. You share a passion for doing the right thing and want to work on problems that help change banking for good. You adapt quickly and thrive on bringing clarity to big, undefined problems, asking questions and digging deep to uncover root causes. You possess a strong foundation in engineering and mathematics, with expertise in hardware, software, and AI that enables you to see and exploit optimization opportunities others miss. You are deeply technical, passionate about staying abreast of the latest research, and able to intuitively understand scientific publications to judiciously apply novel techniques in production.
This role is expected to accept applications for a minimum of 5 business days. No agencies please. If you require an accommodation to apply or participate in the recruiting 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.
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 will consider sponsoring a new qualified applicant for employment authorization for this position.
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
8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud); Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems; Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level; 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; Master's degree in Computer Science, Computer Engineering, or relevant technical field; 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 on top of the latest AI research and AI systems, and judiciously apply novel techniques in production; Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers
Skills: Machine Learning, Generative Ai, Ai, ML, Aws, Huggingface, Vectordbs, Nemo Guardrails, Pytorch, LLM Optimization.
Education: Bachelor's degree in Computer Science, Engineering, or AI required with 8+ years experience; Master's degree in Computer Science, Engineering, or relevant technical field preferred.