Distinguished Machine Learning Engineer

We’re looking for a Distinguished Engineer - Machine Learning Engineering to join the Machine Learning Experience (MLX) team! The MLX team is at the forefront of how Capital One builds and deploys well-managed AI/ML models and use-cases, both predictive and generative. We drive new innovation and research while working to seamlessly infuse AI/ML into the fabric of the company.

• Driving and embedding Observability in our GenAI/ML platforms and products for state-of-the-art performance and reliability
• Innovating in responsible use of GenAI to optimize the model development life-cycle including automating monitoring, anomaly detection and root cause analysis
• Optimizing developer productivity through AI/Agentic AI including software development life cycle

• Bachelor's degree in Computer Science or a related field
• At least 12 years of experience in software engineering or solution architecture
• At least 10 years of experience designing and building data-intensive solutions using distributed computing
• At least 8 years of experience programming with Python, Go, or Java
• At least 6 years of experience with an industry-recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow

• 401k matching
• Health insurance
• Flight privileges
• Stock options
• Paid time off
• Retirement plan

At Capital One, we work in a fast-paced and intellectually rigorous environment to solve fundamental business problems at scale. Using AI/ML, we derive valuable insights about consumer behavior, credit and fraud risk, and more from large volumes of data, and use it to build cutting-edge patentable products and processes that drive the business forward.