Lead AI Research Innovator

2 weeks ago

San Francisco, California, United States Capital One Financial Corp Full time
Location: United States of America, Virginia

Position: Senior Applied Research Scientist

Overview:
At Capital One, we are pioneering trustworthy and efficient AI systems, transforming the banking landscape. For years, we have been at the forefront of utilizing machine learning to develop real-time, intelligent, automated customer interactions. Our AI and ML applications are designed to enhance customer experiences, from notifying them of unusual transactions to providing instant responses to inquiries. We are dedicated to assembling world-class applied science and engineering teams, advancing our industry-leading capabilities with innovative product experiences and scalable, high-performance AI infrastructure. In this role, you will harness the transformative potential of emerging AI technologies to redefine how we serve our customers and businesses that appreciate our offerings.

Team Overview:
The AI Foundations team is pivotal in actualizing our vision for AI at Capital One. Our initiatives encompass every facet of the research lifecycle, from collaboration with academic institutions to the development of production systems. We engage with product, technology, and business leaders to implement cutting-edge AI solutions in our operations.

Role Responsibilities:
  • Collaborate with a diverse team of data scientists, software engineers, machine learning engineers, and product managers to create AI-driven products that transform customer interactions with their finances.
  • Utilize a comprehensive technology stack, including Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more, to uncover insights from vast amounts of numerical and textual data.
  • Develop AI foundation models through all stages of the process, from design to training, evaluation, validation, and deployment.
  • Conduct impactful applied research to integrate the latest AI advancements into next-generation customer experiences.
  • Employ your interpersonal skills to convert complex technical concepts into clear business objectives.
Ideal Candidate Profile:
  • Adept at analysis and creation, with a commitment to making decisions that prioritize customer interests.
  • Innovative thinker, continuously exploring and assessing emerging technologies, and actively seeking opportunities for application.
  • Creative problem-solver, eager to define and tackle significant, ambiguous challenges.
  • Leadership-oriented, willing to challenge conventional wisdom and collaborate with stakeholders to enhance existing processes.
  • Technically proficient, with hands-on experience in developing AI foundation models using open-source tools and cloud platforms.
  • Possesses a deep understanding of AI methodologies and principles.
  • Experienced in building large-scale deep learning models across various domains, with expertise in training optimization, self-supervised learning, and model robustness.
  • Demonstrates an engineering mindset with a history of delivering scalable models and solutions.
  • Proven track record of innovation in machine learning, supported by significant contributions to the field.
  • Capable of independently pursuing a research agenda and managing long-term projects.
Key Responsibilities:
  • Work alongside a multidisciplinary team to deliver AI-powered platforms and solutions that enhance customer financial interactions.
  • Oversee the development of AI foundation models through all phases, ensuring successful implementation.
  • Engage in high-impact applied research to advance AI developments for improved customer experiences.
  • Leverage a wide array of technologies to extract valuable insights from extensive datasets.
  • Utilize strong communication skills to translate complex work into actionable business goals.
Basic Qualifications:
  • Ph.D. with a minimum of 6 years of experience in Applied Research or M.S. with at least 8 years of experience in Applied Research.
Preferred Qualifications:
  • PhD in relevant fields such as Computer Science, Machine Learning, or Applied Mathematics.
  • Experience in large language model training and deployment, with a strong publication record in reputable conferences.
  • Demonstrated ability to guide technical teams in large-scale model training.
  • Contributions to open-source frameworks and significant experience in real-time production environments.
Capital One is committed to diversity and inclusion in the workplace, ensuring equal opportunity for all qualified applicants.

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