At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine exceptional products for our customers.
Requirements
- At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
- At least 4 years of experience programming with Python, Go, Scala, or Java
- At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
- Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
- 6 years of experience designing, developing, delivering, and supporting AI services at scale
- 3 years of experience developing AI and ML algorithms or technologies using Python
- 2 years of experience with Retrieval Augmented Generation (RAG)
- Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure
- Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
Responsibilities
- designing and building data-intensive solutions using distributed computing
- programming with Python, Go, Scala, or Java
- deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
- developing AI and ML algorithms or technologies
- deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure
- designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
Other
- You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing.
- You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences.
- Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
- You adapt quickly and thrive on bringing clarity to big, undefined problems.
- You have the courage to share new ideas even when they are unproven.
- You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.
