Machine Learning Engineer — United States — LinkedIn — 4491251421

About The Company

Capital One is a financial services company driven by technology, data, and a commitment to solving real customer needs. Its teams bring together makers, builders, and problem-solvers to develop practical, innovative solutions. Capital One fosters a collaborative, inclusive, and iterative environment where technology professionals can contribute to meaningful work and help advance the company’s capabilities in artificial intelligence and machine learning.

About The Role

Capital One is seeking a Machine Learning Engineer 4 to join its Machine Learning Experiences (MLX) team. In this role, you will help drive AI transformation by designing, building, and scaling production machine learning models and systems. Working across disciplines such as machine learning operations, modeling, and data engineering, you will partner with Product and Data Science teams to develop solutions to real-world business challenges. You will contribute to decisions about model and feature selection, training, validation, infrastructure, and deployment, while applying responsible and explainable AI practices.

Qualifications

Applicants must have 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. A minimum of four years of programming experience with Python, Java, Golang, or C++ is required, along with four years of machine learning experience using frameworks such as PyTorch or TensorFlow and libraries including Pandas, NumPy, or Scikit-learn. Candidates must also have four years of experience with large-scale distributed systems, such as Spark or Ray, for preparing AI or machine learning data, and two years of experience deploying and operating production machine learning solutions in a cloud environment and using Kubernetes.

Preferred qualifications include a graduate degree in a related field; experience optimizing machine learning algorithms, configurations, and infrastructure; and a track record of applying software development practices such as source control, testing, code reviews, and CI/CD. Experience building resilient services, production data pipelines, and monitoring and incident-response capabilities is valued. Familiarity with machine learning approaches, model architectures, training concepts, and diagnosing model performance issues is also desirable. Technical leadership experience and authorship or co-authorship of a machine learning paper, technique, or proof of concept are additional assets.

Responsibilities

Design, build, test, and deliver machine learning models and software components in partnership with product and data science colleagues. Develop and validate models, write application code, automate testing and deployment, and contribute to cross-functional Agile delivery. Build optimized data pipelines and leverage cloud-based architectures to serve models reliably at scale. Retrain, maintain, and monitor production models, and use continuous integration, continuous deployment, automated tests, and operational monitoring to support dependable releases. Apply knowledge of modeling techniques, data, features, tuning, dimensionality, bias and variance, and validation when making infrastructure and implementation decisions. Maintain well-managed code, support model governance and risk controls, and follow responsible and explainable AI practices.

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 and competitive benefits program supporting health, financial security, and overall well-being. Benefit eligibility varies by employment status, work schedule, and management level. The position’s listed annual salary ranges are: Sales Territory and Richmond, Virginia, $179,400–$204,700; Cambridge, Massachusetts, and McLean, Virginia, $197,300–$225,100; and New York, New York, and San Jose, California, $215,200–$245,600. Pay for other locations may differ. Capital One will not provide immigration-related support or sponsor new applicants for employment authorization 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 in a manner consistent with applicable laws. Candidates who need an accommodation during the application or recruiting process may contact Capital One Recruiting. Information provided for accommodation requests will be kept confidential and used only as needed to provide reasonable accommodations.