Lead AI Systems Engineer
2 weeks ago
At Capital One, our goal is to develop trustworthy, reliable, and human-centric AI systems that transform the banking experience. We have been at the forefront of the industry, leveraging machine learning to create intelligent, automated customer interactions. Our applications of AI & ML are designed to simplify banking and enhance customer service. With our significant investments in public cloud infrastructure and machine learning platforms, we are uniquely equipped to harness the potential of AI. We are dedicated to building exceptional applied science and engineering teams to advance our capabilities in delivering innovative product experiences and scalable, high-performance AI infrastructure.
We are seeking a seasoned Lead Generative AI Engineer to assist in the development and maintenance of APIs and SDKs for training, fine-tuning, and accessing AI models at scale. As a member of our Enterprise AI team, you will create systems that empower users to engage with Large Language Models (LLMs) and Foundation Models (FMs) using our public cloud infrastructure. Collaborating with a team of top-tier AI engineers and researchers, you will design and implement essential API products and services that support real-time customer-facing applications. Key projects you will be involved in include:
- Architecting, building, and deploying well-managed core APIs and SDKs for accessing LLMs and proprietary FMs, including tasks related to training, fine-tuning, and prompting, along with orchestration SDKs.
- Designing APIs focused on performance, real-time applications, scalability, user-friendliness, and governance automation.
- Developing application-specific interfaces that utilize LLMs and FMs to enhance both associate and customer experiences.
- Empowering users to create new Generative AI capabilities.
- Creating tools and processes to monitor API access patterns and operational health.
- Designing and implementing AI safety measures and guardrails within the API layer in close collaboration with researchers.
Capital One is open to hiring a Remote Employee for this opportunity.
Basic Qualifications:- Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
- A minimum of 4 years of experience in designing, building, and deploying machine learning application platforms.
- At least 4 years of programming experience in Python, Go, Scala, or Java.
- A minimum of 1 year of experience in building, scaling, and optimizing training or inferencing systems for deep neural networks.
- Experience in developing large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users.
- Ability to thrive in a fast-paced environment with ambiguity and competing priorities.
- Experience in technology and product-driven companies or startups is preferred.
- Capability to rapidly iterate with researchers and engineers to enhance product experiences while establishing foundational capabilities.
- Familiarity with deploying large neural network models in demanding production settings.
- Experience with API security, observability, cloud access control, and privacy best practices.
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
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