Capital One is seeking to solve the problem of transforming banking through responsible and reliable AI-powered systems. In Risk Tech, the goal is to build data-driven tools that use machine learning to prevent risks and automatically detect issues before they impact customers, the business, or communities.
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).
- Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance.
- Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure.
- 2 years of experience with Retrieval Augmented Generation (RAG).
- 3 years of experience developing AI and ML algorithms or technologies using Python.
Responsibilities
- Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers.
- Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI.
- Fine-tune, develop and evaluate machine learning and foundation models.
- Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities.
- Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One.
- Leverage a broad stack of Open Source and SaaS AI technologies.
- Retrain, maintain, and monitor models in production.
Other
- Bachelor's degree.
- 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.
- Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
- Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
- You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences.
