Machine Learning Engineer

About The Company

Capital One is a financial services company where teams of makers, builders, and problem-solvers work together to address real customer needs. The company brings technology, data, and collaboration to complex business challenges. Its inclusive, iterative working environment supports innovation and the development of solutions designed to serve customers at scale.

About The Role

Capital One is seeking a Machine Learning Engineer 4 to help advance its artificial intelligence capabilities and bring production machine learning solutions to scale. In this role, you will combine software engineering, machine learning, data engineering, and operational expertise. You will work with Product, Data Science, and other technology partners to design and deliver models and systems that solve business problems. You will also help shape the infrastructure, pipelines, and practices that support reliable, secure, and responsible machine learning applications.

Qualifications

Required qualifications include a bachelor’s degree or higher in Computer Science, Machine Learning, or a related quantitative field, such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Engineering. Candidates should have at least four years of programming experience with Python, Java, Golang, or C++; four years of machine learning experience with frameworks such as PyTorch or TensorFlow and libraries such as Pandas, NumPy, or Scikit-learn; and four years of experience using distributed systems such as Spark or Ray to prepare AI or machine learning data. At least two years of experience deploying machine learning solutions in production, operating cloud services on AWS, GCP, or Azure, and using Kubernetes to manage containerized systems is also required.

Preferred qualifications include a master’s or doctoral degree in a related field; experience optimizing machine learning algorithms and infrastructure; and strong knowledge of software engineering practices, including source control, testing, code reviews, and CI/CD. Experience designing resilient services, production data pipelines, deployment strategies, monitoring, and incident response is valued. Familiarity with machine learning methods, model architectures, training concepts, and techniques for evaluating and diagnosing model performance is also preferred. Technical leadership experience and authorship or co-authorship of a paper on a machine learning technique, model, or proof of concept are additional assets.

Responsibilities

Design, build, validate, and deliver machine learning models and software components in partnership with Product and Data Science teams. Apply knowledge of modeling methods, data and feature selection, training, hyperparameter tuning, dimensionality, bias and variance, and validation to guide infrastructure and implementation decisions. Write and test application code, automate model testing and deployment, and contribute to cross-functional Agile teams building large-scale data and machine learning applications.

Develop and optimize cloud-based architectures and data pipelines that support models at scale. Retrain, maintain, and monitor models in production, using continuous integration, continuous deployment, automated testing, and operational monitoring to support dependable releases. Manage code and models responsibly by reducing vulnerabilities, following governance practices, and applying principles of Responsible and Explainable AI.

Benefits

This position is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives, depending on the applicable plan. Capital One offers a comprehensive benefits program supporting employees’ health, financial security, and overall well-being. Benefit eligibility varies by employment status and management level.

Posted annual salary ranges are $197,300–$225,100 in McLean, Virginia; $215,200–$245,600 in New York, New York; and $179,400–$204,700 in Philadelphia, Pennsylvania; Richmond, Virginia; and Wilmington, Delaware. Pay for other locations depends on the applicable range, and the final offer will state the salary. Capital One will not provide new employment authorization sponsorship or immigration-related support for this position.

Equal Opportunity

Capital One is an equal opportunity employer committed to non-discrimination in accordance with applicable federal, state, and local laws, including protections for individuals with disabilities and veterans. The company maintains a drug-free workplace and considers qualified applicants with criminal histories consistent with applicable law. Candidates who need an accommodation during the recruiting process may contact Capital One Recruiting; information provided for accommodation requests will be kept confidential and used only as needed.