Capital One Opens 293 Machine Learning Positions with Salaries Averaging 201K

Capital One continues to lead the financial services industry in machine learning adoption, with approximately 293 ML positions currently open in the United States. The company mission to create “trustworthy and reliable AI systems” has made it one of the most attractive destinations for engineers seeking to apply AI at scale in banking.

Industry-Leading Compensation

Capital One offers some of the most competitive salaries in the ML engineering field:

• Machine Learning Engineers: Average $201,614/year (27% above national average)
• Applied Researcher II: $257,300-$293,700 (Cambridge, McLean) or $280,700-$320,400 (New York)
• Lead Machine Learning Engineer: $175,800-$200,700 (Riverwoods, IL)

Positions span locations including Plano, TX; McLean, VA; Richmond, VA; and Bengaluru, India—reflecting the company global engineering footprint.

Real-Time AI at Scale

Capital One has been “leading the industry in using machine learning to create real-time, intelligent, automated customer experiences.” Applications span from fraud detection to real-time customer service, with ML Engineers building models and productionizing machine learning applications at scale.

Engineers work within Agile teams, providing Kafka infrastructure to support event-driven architecture and developing DevOps best practices for ML deployment. The work involves detailed technical design, development, and implementation of machine learning applications that directly impact millions of customers.

Training and Development

The Machine Learning Engineering Training Program (MLETP) offers a 160-hour curriculum teaching software and data engineers the skills necessary for ML and AI work. This investment in internal talent development complements external hiring efforts.

HackerX Partnership

Capital One has participated in HackerX Front-End events in the DC Area alongside other major employers like Deloitte. The company presence at invite-only recruiting events reflects its commitment to connecting with top engineering talent through efficient, high-quality channels.

For ML engineers seeking to work on AI that directly impacts consumer financial services at scale, Capital One represents a premier opportunity with compensation to match.