Machine Learning Engineer

About The Company

Capital One is a leading diversified financial services company specializing in credit cards, auto loans, banking, and savings products. Renowned for its innovative approach to banking and technology, Capital One leverages data-driven strategies and advanced analytics to deliver exceptional customer experiences. The company is committed to fostering a diverse and inclusive workplace, emphasizing continuous innovation, and maintaining a strong focus on responsible lending and risk management. With a customer-first philosophy, Capital One strives to create solutions that meet the evolving needs of its clients while maintaining operational excellence and technological leadership.

About The Role

We are seeking a highly skilled Machine Learning Engineer to join our Risk Technology team at Capital One. In this pivotal role, you will be at the forefront of developing and deploying advanced AI and machine learning solutions that enhance risk management capabilities across the organization. Your work will directly impact how we identify, assess, and mitigate risks using innovative data-driven models and automation. Collaborating with cross-functional teams including data scientists, software engineers, and product managers, you will design, build, and maintain scalable machine learning models and infrastructure. Your expertise will help transform risk operations, prevent potential issues before they impact our customers or business, and contribute to the company's strategic objectives of technological advancement and operational resilience.

Qualifications

The ideal candidate will possess a strong educational background and extensive experience in machine learning and software engineering. A bachelor’s degree or higher in Computer Science, Data Science, Statistics, Mathematics, or a related field is required. Candidates should have at least four years of programming experience with Python, Java, Golang, or C++, along with a proven track record of developing and deploying machine learning models using frameworks like PyTorch or TensorFlow. Experience with large-scale distributed systems such as Spark or Ray for data preparation and model training is essential. Additionally, familiarity with cloud platforms like AWS, GCP, or Azure, and container orchestration tools like Kubernetes, is highly desirable. Preferred qualifications include a master’s or doctoral degree, experience in optimizing ML algorithms, building resilient production systems, and leading ML projects with automation and best practices in software development.

Responsibilities

• Design, develop, and deploy machine learning models and components that address real-world business challenges in risk management, collaborating closely with product and data science teams.
• Make informed decisions regarding ML infrastructure, including model selection, data processing, feature engineering, hyperparameter tuning, and validation techniques to ensure optimal performance.
• Write, test, and automate application code to solve complex problems, ensuring robustness and scalability of ML solutions.
• Participate in cross-functional Agile teams to develop innovative software that supports big data and machine learning applications.
• Monitor, maintain, and retrain models in production environments to ensure continuous accuracy and relevance.
• Leverage cloud-based architectures and platforms to deliver scalable ML solutions, ensuring high availability and performance.
• Construct and optimize data pipelines to facilitate efficient feeding of data to ML models for training and inference.
• Implement CI/CD pipelines, automate testing, and monitor deployment processes to ensure reliable and secure model operations.
• Follow best practices for responsible AI, model governance, and explainability, ensuring compliance with risk and regulatory standards.
• Utilize programming languages such as Python, Java, or Scala to develop and enhance ML systems and tools.

Benefits

Capital One offers a comprehensive benefits package designed to support your overall well-being and career growth. Employees are eligible for competitive salaries, performance-based incentives, and long-term incentives that recognize individual and team contributions. The company provides a range of health, dental, and vision insurance plans, along with wellness programs, retirement savings options, and paid time off. Capital One promotes a flexible work environment and invests in employee development through training, mentorship, and continuous learning opportunities. Additionally, employees benefit from a collaborative and inclusive culture that fosters innovation, diversity, and a sense of community. The company is committed to work-life balance and provides resources to support personal and professional growth.

Equal Opportunity

Capital One is an equal opportunity employer committed to fostering an inclusive environment for all employees and applicants. We do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or veteran status. We adhere to all applicable laws and regulations to ensure fair hiring practices and workplace equality. Capital One values diversity and believes that a broad range of perspectives enhances our ability to innovate and serve our customers effectively. We welcome candidates from all backgrounds and are dedicated to providing accommodations during the application and employment process to qualified individuals with disabilities or other needs.