
location_onGrace Street Commercial Historic District, Byrd Street Cycle Track, Richmond, Virginia, 23284, 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, combined with our deep experience in machine learning, position us 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. In this role, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and the businesses that rely on our products.
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 Sr. Distinguished AI Engineer, 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 design, develop, test, deploy, and support AI software components, ranging from foundation model training and large language model inference to similarity search, guardrails, model evaluation, experimentation, governance, and observability.
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. Additionally, you will contribute to the technical vision and the long-term roadmap of foundational AI systems at Capital One. This role is for a resilient trailblazer who thrives on bringing clarity to big, undefined problems and has the courage to share new ideas even when they are unproven.
Capital One is committed to a fair and inclusive hiring process. We encourage candidates to apply directly through our careers website. Please note that no agencies are needed for this position. If you require an accommodation during the application or interview 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. We are dedicated to fostering a diverse and inclusive environment where everyone can thrive.
Work model: On-site
Grace Street Commercial Historic District, Byrd Street Cycle Track, Richmond, Virginia, 23284, United States
Richmond, Virginia
9 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 enterprise AI systems; Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP 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; 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; Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers; Experience building and deploying multi-modal models for technologies like computer vision, speech recognition, optical character recognition, or other sensor systems in applications such as robotics, digital assistants, industrial automation, autonomous driving, or related.
Skills: Machine Learning, Ai, Aws, Huggingface, Vectordbs, Nemo Guardrails, Pytorch, LLM Optimization, Python, Go.
Education: Bachelor's degree in CS, AI, EE, CE, or related fields with 10+ years experience; Master's degree in CS, AI, EE, CE, or related fields with 8+ years experience.