Lead AI Engineer (FM Hosting, LLM Inference)
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, changing 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, along with our deep experience in machine learning, 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 continuing to build 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 our customers and businesses who have come to love the products and services we build.
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, building and deploying 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.
In this position, 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 be expected to invent and introduce state-of-the-art LLM optimization techniques to improve the performance, scalability, cost, latency, and throughput of large-scale production AI systems.
The ideal candidate loves to build systems, takes pride in the quality of their work, and shares a passion to do the right thing. You will thrive on bringing clarity to big, undefined problems, digging deep to uncover root causes, and articulating findings concisely. We value those who have the courage to share new ideas even when they are unproven and are resilient trailblazers who can forge 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. Please note that no agencies are needed for this position. If you require an accommodation to apply or interview, 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 Financial is made up of several different entities, and positions posted in specific regions are for the corresponding regional entity (e.g., Capital One Canada, Capital One Europe, Capital One Philippines Service Corp).
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, Python, Go, Scala, Java, Aws, Google Cloud, Azure, LLM Inference, Vector DBS.
Education: Bachelor's degree in CS, AI, EE, CE, or related fields with 4+ years experience; Master's degree in CS, AI, EE, CE, or related fields with 2+ years experience.