Lead Machine Learning Engineer

About the role

About The Company

At Capital One, we are revolutionizing the banking industry by harnessing the power of responsible and reliable artificial intelligence systems. Our commitment to innovation is reflected in our significant investments in cutting-edge technology infrastructure and the recruitment of world-class talent. With extensive expertise in machine learning, we are positioned at the forefront of enterprise AI application, delivering solutions that enhance customer experience and operational efficiency. Our AI-driven applications range from alerting customers about unusual charges to providing real-time responses to inquiries, all aimed at bringing simplicity and humanity to banking. We are dedicated to building world-class applied science and engineering teams that develop industry-leading capabilities, breakthrough products, and scalable high-performance AI infrastructure. Working at Capital One offers an opportunity to contribute to transformative products that redefine banking experiences for our customers.

About The Role

As a Lead Machine Learning Engineer within Capital One's Risk Technology division, you will play a pivotal role in developing and deploying proprietary AI-powered risk management solutions. You will collaborate closely with our Governance, Risk, and Compliance (GRC) team and cross-functional partners across the organization to create innovative systems that leverage state-of-the-art AI technologies. Your work will directly impact our ability to proactively manage risks, prevent issues before they affect our customers or business, and enhance our overall risk mitigation strategies. This role involves a blend of engineering, modeling, and data engineering activities, requiring a strong technical foundation and strategic mindset. You will lead efforts to design, develop, and optimize machine learning models, build robust data pipelines, and ensure the deployment of scalable, responsible AI solutions. Your contributions will help shape the long-term AI roadmap at Capital One, ensuring our systems are cutting-edge, governable, and aligned with industry best practices.

Qualifications

Bachelor's Degree in Computer Science, Electrical Engineering, Mathematics, or related field

Minimum 6 years of experience designing and building data-intensive solutions using distributed computing frameworks (internship experience excluded)

At least 4 years of programming experience with Python, Scala, or Java

At least 2 years of experience in building, scaling, and optimizing machine learning systems

Proficiency with industry-recognized ML frameworks such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow

Experience developing AI and ML algorithms using Python

Strong understanding of ML modeling techniques, data pipelines, and model monitoring

Experience with deploying scalable AI/ML solutions in cloud environments such as AWS, Google Cloud, or Azure

Knowledge of Responsible and Explainable AI practices and model governance

Excellent communication skills and ability to explain complex concepts to non-technical stakeholders

Responsibilities

Partner with cross-functional teams including engineers, data scientists, product managers, and designers to deliver AI-powered products that enhance operational workflows and customer value

Design, develop, test, deploy, and support AI software components, including models, inference engines, and guardrails

Fine-tune, evaluate, and improve machine learning and foundation models to meet business needs

Collaborate within Agile teams to create and enhance AI-driven software solutions using the latest ML capabilities

Contribute to the strategic vision and technical roadmap for AI systems at Capital One

Leverage open-source and SaaS AI technologies to build scalable solutions

Make informed decisions regarding ML infrastructure, including model retraining, monitoring, and governance

Construct and maintain optimized data pipelines to support ML models

Ensure all code adheres to security standards, governance policies, and responsible AI practices

Benefits

Competitive salary aligned with experience and location

Performance-based incentive compensation, including cash bonuses and long-term incentives

Comprehensive health, dental, and vision insurance plans

Retirement savings options with company matching

Generous paid time off and holiday leave

Professional development opportunities and continuous learning support

Inclusive and diverse workplace culture that promotes work-life balance

Access to innovative AI tools and cutting-edge technology infrastructure

Equal Opportunity

Capital One is an equal opportunity employer committed to diversity and inclusion. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic. We promote a drug-free workplace and ensure all employment decisions are made without regard to non-merit factors. We welcome applicants from all backgrounds and are dedicated to creating an inclusive environment where everyone can thrive.