Capital One
Senior Machine Learning Engineer (Python, AWS, Big Data) - Auto Loan Valuations
Capital One, Plano, Texas, us, 75086
Senior Machine Learning Engineer (Python, AWS, Big Data) – Auto Loan Valuations & Insights
As a Capital One Machine Learning Engineer (MLE), you’ll be part of an Agile team dedicated to productionizing machine learning applications at scale. Your work will involve detailed technical design, development, and implementation of ML applications using existing and emerging technology platforms. You’ll focus on machine‑learning architecture, develop and review model and application code, and ensure high availability and performance of our ML applications.
We’re looking for talented individuals to join our Valuations and Insights Team at Capital One Auto. This cross‑functional group, together with Business Analysts, Data Scientists, Data Engineers, and Software Engineers, builds machine‑learning products that accurately assess loan valuations. Leverage modern AWS infrastructure (EMR, Lambda) and Capital One platforms for both batch and real‑time use cases.
What you’ll do in the role
Design, build, and deliver ML models and components that solve real‑world business problems while collaborating with Product and Data Science teams.
Inform ML infrastructure decisions using your understanding of modeling techniques, feature selection, training, hyper‑parameter tuning, and validation.
Write and test application code, develop and validate ML models, and automate tests and deployment.
Collaborate as part of a cross‑functional Agile team to create and enhance software for big‑data and ML applications.
Retrain, maintain, and monitor models in production.
Leverage or build cloud‑based architectures, technologies, and platforms to deliver optimized ML models at scale.
Construct optimized data pipelines to feed ML models.
Apply continuous integration and continuous deployment best practices, including test automation and monitoring.
Ensure code is well‑managed to reduce vulnerabilities, models are well‑governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.
Use programming languages such as Python, Scala, or Java.
Basic Qualifications
Bachelor’s degree.
At least 4 years of experience programming with Python, Scala, or Java (internship experience does not apply).
At least 3 years of experience designing and building data‑intensive solutions using distributed computing.
At least 2 years of on‑the‑job experience with industry‑recognized ML frameworks (scikit‑learn, PyTorch, Dask, Spark, or TensorFlow).
At least 1 year of experience productionizing, monitoring, and maintaining models.
Preferred Qualifications
1+ year of experience building, scaling, and optimizing ML systems.
1+ year of experience with data gathering and preparation for ML models.
2+ years of experience developing performant, resilient, and maintainable code.
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform.
Master’s or doctoral degree in computer science, electrical engineering, mathematics, or a related field.
3+ years of experience with distributed file systems or multi‑node database paradigms.
Contributed to open‑source ML software.
Authored or co-authored a paper on an ML technique, model, or proof of concept.
3+ years of experience building production‑ready data pipelines that feed ML models.
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance.
Salary McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer Plano, TX: $144,200 - $164,600 for Senior Machine Learning Engineer
Benefits Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well‑being. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level.
Additional Information This role is expected to accept applications for a minimum of 5 business days.
Equal Opportunity Employer Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.
Accommodations and Support To request an accommodation, please contact Capital One Recruiting at 1‑800‑304‑9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and used only to the extent required to provide needed reasonable accommodations.
Contact For technical support or questions about Capital One’s recruiting process, please email Careers@capitalone.com.
Employment Details
Seniority level: Mid‑Senior Level
Employment type: Full‑time
Job function: Engineering and Information Technology
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We’re looking for talented individuals to join our Valuations and Insights Team at Capital One Auto. This cross‑functional group, together with Business Analysts, Data Scientists, Data Engineers, and Software Engineers, builds machine‑learning products that accurately assess loan valuations. Leverage modern AWS infrastructure (EMR, Lambda) and Capital One platforms for both batch and real‑time use cases.
What you’ll do in the role
Design, build, and deliver ML models and components that solve real‑world business problems while collaborating with Product and Data Science teams.
Inform ML infrastructure decisions using your understanding of modeling techniques, feature selection, training, hyper‑parameter tuning, and validation.
Write and test application code, develop and validate ML models, and automate tests and deployment.
Collaborate as part of a cross‑functional Agile team to create and enhance software for big‑data and ML applications.
Retrain, maintain, and monitor models in production.
Leverage or build cloud‑based architectures, technologies, and platforms to deliver optimized ML models at scale.
Construct optimized data pipelines to feed ML models.
Apply continuous integration and continuous deployment best practices, including test automation and monitoring.
Ensure code is well‑managed to reduce vulnerabilities, models are well‑governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.
Use programming languages such as Python, Scala, or Java.
Basic Qualifications
Bachelor’s degree.
At least 4 years of experience programming with Python, Scala, or Java (internship experience does not apply).
At least 3 years of experience designing and building data‑intensive solutions using distributed computing.
At least 2 years of on‑the‑job experience with industry‑recognized ML frameworks (scikit‑learn, PyTorch, Dask, Spark, or TensorFlow).
At least 1 year of experience productionizing, monitoring, and maintaining models.
Preferred Qualifications
1+ year of experience building, scaling, and optimizing ML systems.
1+ year of experience with data gathering and preparation for ML models.
2+ years of experience developing performant, resilient, and maintainable code.
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform.
Master’s or doctoral degree in computer science, electrical engineering, mathematics, or a related field.
3+ years of experience with distributed file systems or multi‑node database paradigms.
Contributed to open‑source ML software.
Authored or co-authored a paper on an ML technique, model, or proof of concept.
3+ years of experience building production‑ready data pipelines that feed ML models.
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance.
Salary McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer Plano, TX: $144,200 - $164,600 for Senior Machine Learning Engineer
Benefits Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well‑being. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level.
Additional Information This role is expected to accept applications for a minimum of 5 business days.
Equal Opportunity Employer Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.
Accommodations and Support To request an accommodation, please contact Capital One Recruiting at 1‑800‑304‑9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and used only to the extent required to provide needed reasonable accommodations.
Contact For technical support or questions about Capital One’s recruiting process, please email Careers@capitalone.com.
Employment Details
Seniority level: Mid‑Senior Level
Employment type: Full‑time
Job function: Engineering and Information Technology
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