Machine Learning Engineer (AI Foundations)

Responsibilities

• Design, build, and deliver ML models and components to solve real-world business problems in collaboration with Product and Data Science teams
• Inform ML infrastructure decisions regarding model choice, data selection, training, hyperparameter tuning, and validation
• Develop and validate ML models while writing and testing application code to automate deployment
• Retrain, maintain, and monitor machine learning models in production environments
• Construct optimized data pipelines and leverage cloud-based architectures to deliver scalable ML models
• Implement continuous integration and continuous deployment (CI/CD) best practices, including test automation and monitoring
• Ensure all code follows best practices in Responsible and Explainable AI and adheres to risk and governance standards

Requirements

• Bachelor's Degree
• At least 2 years of experience designing and building data-intensive solutions using distributed computing
• At least 2 years of experience programming with Python, Scala, or Java
• At least 1 year of Machine Learning experience with an industry-recognized framework (e.g., scikit-learn, PyTorch, Dask, Spark, or TensorFlow)

Preferred Qualifications

• Experience developing and deploying ML solutions in public cloud platforms such as AWS, Azure, or GCP
• 1+ years of experience working with large code bases in a team environment
• 1+ years of experience with distributed file systems or multi-node database paradigms
• Experience building production-ready data pipelines that feed ML models
• Contributions to open source ML software
• Experience leveraging interactive AI tooling to accelerate productivity

About the Company

Capital One is accelerating the adoption of state-of-the-art AI research to create simpler, safer banking experiences for over 100 million customers. The AI Foundations team spearheads this mission by developing advanced LLMs and autonomous agentic systems capable of complex reasoning and real-world problem solving.