Overview
Join Capital One as we revolutionize banking with responsible and innovative AI systems. Our commitment to leverage machine learning has positioned us as a leader in creating personalized, real-time experiences for customers. We are dedicated to enhancing our applied science and engineering teams, which allow us to deliver breakthrough product experiences backed by robust AI infrastructure. This is your chance to harness the power of emerging AI capabilities to reshape customer interactions and business operations.
Team Description :
The Intelligent Foundations and Experiences (IFX) team is pivotal in realizing our AI vision at Capital One. Collaborating closely across various functions, we push the boundaries of AI science and engineering, developing proprietary solutions that deliver significant value to millions of customers. Our AI models and platforms enable teams across Capital One to integrate transformative AI technologies responsibly and at scale.
In this role, you will :
- Collaborate with a diverse team of engineers, research scientists, technical program managers, and product managers to create AI-driven products that enhance operations and customer interactions.
- Design, develop, test, deploy, and maintain AI software components, including training foundational models, managing large language model inference, conducting similarity searches, and implementing governance and observability measures.
- Utilize a wide range of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch.
- Research and implement cutting-edge LLM optimization techniques to boost performance metrics like scalability, cost-efficiency, latency, and throughput in large-scale AI systems.
- Contribute to the long-term technical vision and roadmap for foundational AI systems at Capital One.
The Ideal Candidate :
You are passionate about building high-quality systems and are committed to making a positive impact in banking.You stay up-to-date with the latest research and have the ability to interpret scientific publications and apply novel techniques effectively in production environments.You excel in ambiguous situations, ask insightful questions, and dig deep to uncover the core of problems while communicating your findings clearly.You possess strong technical skills and a solid foundation in engineering and mathematics, enabling you to identify and exploit optimization opportunities.You are a resilient innovator, willing to chart new paths to meet business objectives.Basic Qualifications :
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field with at least 4 years of experience in developing AI and ML technologies, or a Master's degree in the same fields with at least 2 years of relevant experience.At least 4 years of programming experience with languages like Python, Go, Scala, or Java.Preferred Qualifications :
6 years of experience in deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent.Experience in designing and supporting AI services.Experience in developing AI and ML algorithms or technologies (e.g., LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) utilizing Python, C++, C#, Java, or Golang.Proven experience in optimizing training and inference software for improved hardware utilization, latency, throughput, and cost efficiency.A passion for keeping up with the latest AI research and applying innovative techniques in production.Location : This position can be performed in areas such as Cambridge, MA; McLean, VA; New York, NY; San Francisco, CA; or San Jose, CA.
Capital One offers a competitive compensation package, including salary based on your location and performance-based incentives. We also provide comprehensive health and financial benefits that support your overall well-being.
Capital One is an equal opportunity employer committed to diversity and inclusion. We support applicants with disabilities in accordance with applicable laws. If you require accommodation for the application process, please reach out to us.