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About the Role

Capital One is creating responsible and reliable AI systems to transform banking. We are an industry leader in using machine learning for personalized customer experiences and are at the forefront of enterprises leveraging AI. Our AI applications bring humanity and simplicity to banking, and we are committed to building world-class applied science and engineering teams to deliver breakthrough product experiences and scalable AI infrastructure. You will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses.

Responsibilities

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products.
• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, governance, and observability.
• Leverage Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch.
• Invent and introduce state-of-the-art LLM optimization techniques to improve the performance of large scale production AI systems.
• Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One.

Requirements

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
• At least 4 years of experience programming with Python, Go, Scala, or Java
• 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 apply novel techniques in production

Skills

• AI
• ML
• Python
• Go
• Scala
• Java
• AWS Ultraclusters
• Huggingface
• VectorDBs
• Nemo Guardrails
• PyTorch
• LLM Inference
• Similarity Search
• VectorDBs
• Guardrails
• Memory

Location

• McLean, VA
• New York, NY
• Richmond, VA
• San Jose, CA

Work Type

• Full-time

Experience Level

• Lead

Education Level

• Bachelor's degree
• Master's degree

Salary/Compensations

• McLean, VA: $197,300 - $225,100
• New York, NY: $215,200 - $245,600
• Richmond, VA: $179,400 - $204,700
• San Jose, CA: $215,200 - $245,600

Benefits

• Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
• Eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).

About the Company

• At Capital One, we are creating responsible and reliable AI systems, changing banking for good.
• 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.
• 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 our partners across the company to advance the state of the art in science and AI engineering, and 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.

Equal Opportunity

• Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
• Capital One promotes a drug-free workplace.
• Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.