Machine Learning Engineer — United States — LinkedIn — 4489340744

About The Company

Capital One’s Dealer Tech division is part of its Financial Services Technology group. The team develops and supports secure, integrated, and user-friendly technology that helps automotive dealers manage the auto financing process, from loan origination through funding. Its work supports dealer operations, strengthens customer experiences, and helps ensure that solutions meet applicable financial regulations. Capital One brings together technology, data, and financial services to address complex business needs and make financing transactions more efficient.

About The Role

Capital One is seeking a Machine Learning Engineer 4 to help build, deploy, and scale production machine learning solutions. In this role, you will work across machine learning engineering, software development, data engineering, and operations to solve meaningful business problems. You will collaborate with Product, Data Science, and other technical partners in a cross-functional, iterative environment. The position offers the opportunity to apply modern algorithms, open-source frameworks, and cloud technologies to systems used at scale. You will also contribute to dependable, secure, and responsible AI practices throughout the model lifecycle.

Responsibilities

• Design, build, test, and deliver machine learning models and software components in collaboration with Product and Data Science teams.

• Apply knowledge of modeling approaches, data and feature selection, training, hyperparameter tuning, dimensionality, bias and variance, and validation when making infrastructure and implementation decisions.

• Develop and test application code, validate models, automate testing, and support reliable model deployment.

• Build and maintain optimized data pipelines that prepare information for model training, evaluation, and production use.

• Deploy, retrain, monitor, and maintain production models and services in cloud environments, using scalable architectures and container platforms.

• Apply continuous integration and continuous deployment practices, including test automation, monitoring, and appropriate deployment safeguards.

• Work within an Agile team to develop and enhance software supporting large-scale data and machine learning applications.

• Manage code and models responsibly by reducing software vulnerabilities, supporting risk governance, and following Responsible and Explainable AI practices.

• Use programming languages such as Python, Java, Scala, or other relevant technologies to deliver maintainable solutions.

Qualifications

Basic qualifications: 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. At least four years of programming experience with Python, Java, Golang, or C++; four years of machine learning experience using PyTorch or TensorFlow and libraries such as Pandas, NumPy, or scikit-learn; and four years of experience using large-scale distributed systems, such as Spark or Ray, to prepare AI or machine learning data. Candidates must also have at least two years of experience deploying and operating production machine learning solutions, cloud services on AWS, GCP, or Azure, and Kubernetes-managed containerized systems.

Preferred qualifications: A master’s or doctoral degree in a relevant discipline; experience optimizing algorithms and infrastructure; and strong software engineering practices, including source control, testing, code reviews, and CI/CD. Experience with resilient production services, data pipelines, machine learning methods and architectures, model evaluation, and technical leadership is valued. A published or co-authored paper on a machine learning technique, model, or proof of concept is also desirable.

Capital One will not provide immigration-related support or sponsor new employment authorization applicants for this position.

Benefits

This position offers an annual salary range of $197,300–$225,100 in McLean, Virginia, or $179,400–$204,700 in Plano, Texas. Pay for other locations will reflect the applicable local range, and the offered amount will be stated in the offer letter. The role may also be eligible for performance-based incentives, including cash bonuses and/or long-term incentives. Capital One provides a comprehensive benefits package supporting health, financial, and overall well-being. Eligibility and available benefits vary by employment status and management level.

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 application or recruiting process may contact Capital One Recruiting to request reasonable assistance. Applications are expected to be accepted for at least five business days. No agencies, please.