Lead Machine Learning Engineer

Capital One is an equal opportunity employer committed to non-discrimination. They promote a drug-free workplace and comply with all applicable employment laws regarding criminal background inquiries. Capital One Financial operates through various entities, including specific operations in Canada, the United Kingdom, and the Philippines.

Introduction

As a Lead Machine Learning Engineer at Capital One, you will join an Agile team focused on bringing machine learning applications and systems to production at scale. This role involves detailed technical design, development, and implementation of ML applications using current and emerging technology platforms. You will concentrate on ML architectural design, code development and review, and ensuring the high availability and performance of our ML applications. You will have continuous opportunities to learn and apply the latest innovations and best practices in machine learning engineering.

Responsibilities

• Design, build, and/or deliver ML models and components to solve real-world business problems, collaborating with Product and Data Science teams.
• Inform ML infrastructure decisions with your understanding of ML modeling techniques and issues, including model choice, data/feature selection, training, hyperparameter tuning, dimensionality, bias/variance, and validation.
• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
• Collaborate as part of a cross-functional Agile team to create and enhance software for state-of-the-art big data and ML applications.
• Retrain, maintain, and monitor models in production.
• Leverage or build cloud-based architectures, technologies, and/or platforms for optimized ML model delivery at scale.
• Construct optimized data pipelines for ML models.
• Apply continuous integration and continuous deployment best practices, including test automation and monitoring, for successful deployment of ML models and application code.
• Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and ML practices adhere to Responsible and Explainable AI.
• Utilize programming languages like Golang, Python, Scala, or Java.

Requirements

• Bachelor’s Degree.
• At least 6 years of experience designing and building data-intensive solutions using distributed computing (excluding internship experience).
• At least 4 years of experience programming with Python, Scala, or Java.
• At least 2 years of experience building, scaling, and optimizing ML systems.

Nice to Have

• Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field.
• 3+ years of experience building production-ready data pipelines that feed ML models.
• 3+ years of on-the-job experience with an industry-recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow.
• 2+ years of experience developing performant, resilient, and maintainable code.
• 2+ years of experience with data gathering and preparation for ML models.
• 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation.
• Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform.
• Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance.
• ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents.
• Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion.

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. More details can be found on the Capital One Careers website.

About Company

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 and considers qualified applicants with criminal histories per applicable laws. Capital One Financial comprises several different entities, with specific entities for operations in Canada, the United Kingdom, and the Philippines.

How to Apply

If you require an accommodation to apply for a position, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com. No agencies please. This role is expected to accept applications for a minimum of 5 business days.