Distinguished AI Engineer

2 weeks ago


Fredericksburg, Virginia, United States Capital One Full time
About the Role

Capital One is seeking a highly skilled Distinguished AI Engineer to join our team. As a key member of our AI engineering team, you will be responsible for designing, developing, and deploying large-scale AI systems that drive business value and improve customer experiences.

Key Responsibilities
  • Design and develop AI software components, including foundation model training, large language model inference, similarity search, and guardrails.
  • Partner with cross-functional teams to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
  • Leverage a broad stack of Open Source and SaaS AI technologies, including AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
  • 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.
  • Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One.
Requirements
  • Bachelor's degree in Computer Science, Engineering, or AI, plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies.
  • At least 8 years of experience programming with Python, Go, Scala, or Java.
Preferred Qualifications
  • 8 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 AI systems.
  • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP 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.
  • Master's degree in Computer Science, Computer Engineering, or relevant technical field.
  • 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.
About Capital One

Capital One is a leading bank that is committed to innovation and customer satisfaction. We are seeking talented individuals who share our passion for technology and customer experience.

Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law.

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.



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