Join Capital One as a Senior AI Engineering Lead, focusing on foundational models and large language model optimization. Your expertise will be pivotal in designing, developing, and deploying scalable AI systems that elevate customer experiences in banking.
About Us :
At Capital One, we're at the forefront of utilizing AI to transform banking. Our commitment to innovation in technology and machine learning empowers us to create real-time, personalized experiences for our customers. As part of our goal to build world-class applied science and engineering teams, you will help pioneer AI capabilities that redefine banking.
Team Overview :
The Intelligent Foundations and Experiences (IFX) team plays a crucial role in bringing our AI vision to reality. We collaborate with various departments to advance AI engineering and build proprietary solutions that deliver significant value to millions of customers. Your role will enhance AI models and platforms across Capital One, ensuring responsible implementation for maximum impact.
Your Responsibilities :
- Collaborate with a diverse team of engineers, research scientists, technical program managers, and product managers to deliver transformative AI-powered solutions.
- Design, develop, test, deploy, and maintain AI software components, including foundational model training and optimization techniques.
- Utilize advanced AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch.
- Introduce cutting-edge LLM optimization methods to enhance scalability, performance, and efficiency of AI systems.
- Contribute to the long-term technical vision and roadmap for foundational AI systems at Capital One.
Who You Are :
You take pride in building high-quality systems and have a passion for making a positive impact in banking.You're dedicated to staying informed about the latest AI research and can skillfully apply novel techniques in real-world applications.You thrive in complex situations, love to tackle big challenges, and can communicate your insights clearly.Your technical aptitude in engineering and mathematics enables you to identify unique optimization opportunities.You are a resilient innovator, capable of navigating uncharted paths to meet business objectives.Basic Qualifications :
Bachelor's degree in Computer Science, AI, Electrical Engineering, or related fields with a minimum of 6 years' experience in developing AI and ML algorithms; or a Master's degree with at least 4 years' experience.A minimum of 6 years' programming experience in Python, Go, Scala, or Java.Preferred Qualifications :
7 years' experience deploying AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure).Expertise in designing and supporting complex AI systems.Proven ability to lead and mentor engineering teams and influence stakeholders.Experience developing LLM inference and similarity search technologies using Python, C++, C#, Java, or Golang.Track record of optimizing training and inference software for performance.Strong communication skills to convey complex AI concepts effectively.Work address : This role is located in Cambridge, MA, McLean, VA, New York, NY, San Francisco, CA, or San Jose, CA. Capital One will consider sponsorship for qualified applicants.