Senior Engineer

1 week ago


San Jose, United States Energy Jobline Full time

Location: Center 1 (19052), McLean, Virginia, United States of America

Position: Senior Engineer - Generative AI Product Engineer

Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.

We Are Looking For An Experienced Senior Generative AI Engineer To Help Build And Maintain APIs And SDKs To Train, Fine-tune And Access AI Models At Scale. You Will Work As Part Of Our Enterprise AI Team And Build Systems That Will Enable Our Users To Work With Large- Models (LLMs) And Foundation Models (FMs), Using Our Public Cloud Infrastructure. You Will Work With a Team Of World-class AI Engineers And Researchers To Design And Implement Key API Products And Services That Enable Real-time Customer-facing Applications. Examples Of Projects You Will Work On Include:

  1. Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs.
  2. Design APIs for performance, real-time applications, scale, ease of use and governance automation.
  3. Develop application-specific interfaces that leverage LLMs and FMs to enhance the associate and customer experience.
  4. Enable our users to build new GenAI capabilities.
  5. Develop tools and processes to monitor API access patterns and operational health.
  6. Design and implement AI safety and guardrails in the API layer working closely with researchers.

Basic Qualifications:

  1. Bachelor’s degree in Computer Science, Computer Engineering or a technical field.
  2. At least 4 years of experience designing and building and deploying ML application platforms.
  3. At least 4 years of experience programming with Python, Go, Scala, or Java.
  4. At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks.

Qualifications:

  1. Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users.
  2. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines.
  3. Experience at tech and product-driven companies/startups.
  4. Ability to iterate rapidly with researchers and engineers to improve a product experience while building foundational capabilities.
  5. Familiarity with deploying large neural network models in demanding production environments.
  6. Experience with API security, observability, cloud access control and privacy best practices.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other basis prohibited under applicable federal, state or local law.

For technical support or questions about Capital One's recruiting process, please send an email to [email address].

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