Senior Manager, AI Engineering

3 weeks ago


San Francisco, California, United States Capital One Full time
Overview

Capital One is a leader in using machine learning to create real-time, personalized customer experiences. Our AI systems are changing banking for the better, and we're committed to continuing to build world-class applied science and engineering teams to deliver industry-leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.

Key Responsibilities
  • 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.
  • Oversee the design, development, testing, deployment, and support of AI software components, including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
  • Make high-stakes build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies.
  • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance – scalability, cost, latency, throughput – of large-scale production AI systems.
  • Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One.
  • Attract and retain top talent in the AI industry and nurture personal and professional development for your team, fostering a culture of learning and staying abreast of the state-of-the-art in AI.
Requirements

Bachelor's degree in Computer Science, Engineering, or AI, plus at least 6 years of experience developing or leading AI and ML algorithms or technologies, or Master's degree plus at least 4 years of experience developing or leading AI and ML algorithms or technologies. At least 1 year of people leadership experience. Preferred qualifications include 3 years of experience managing and leading an engineering team, 6 years of experience deploying scalable and responsible AI solutions on cloud platforms, and experience developing AI and ML algorithms or technologies.



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