Capital One

Financial Services

LeadAIEngineer

$197–225k New York, New York, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Lead AI Engineer at Capital One. Skills: AI Engineering, Machine Learning, Large Language Models. Partner with cross-functional team. Deliver AI-powered products”

Industry & Context.

Financial Services
Problems you'll solve

Digging deep to uncover root of problems; See and exploit optimization opportunities

What They're Looking For.

Must Have

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, 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

Nice to Have

6 years of experience deploying scalable and responsible AI solutions on cloud platforms, Experience designing, developing, delivering, and supporting AI services, Experience developing AI and ML algorithms or technologies using Python, C++, C#, Java, or Golang, Experience developing and applying state-of-the-art techniques for optimizing training and inference software, Passion for staying abreast of the latest AI research and AI systems

What You'll Do.

Partner with cross-functional team

Deliver AI-powered products

Design AI software components

Develop AI software components

Test AI software components

Deploy AI software components

Support AI software components

Leverage Open Source AI technologies

Leverage SaaS AI technologies

Invent LLM optimization techniques

Introduce LLM optimization techniques

Improve performance of AI systems

Contribute to technical vision

Contribute to roadmap of foundational AI systems

How You'll Work.

Team & Collaboration

Cross-functional team; Engineers; Research scientists; Technical program managers; Product managers

Communication Scope

Articulate findings concisely

Full Job Description

Lead AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has 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 our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, 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. **Team Description:** 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. **In this role, 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model

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