Lead Machine Learning Engineer

Capital One is a prominent financial services company and an equal opportunity employer. Committed to non-discrimination, Capital One offers various health, financial, and other benefits to support its employees' total well-being, with eligibility depending on employment status and management level.

Introduction

As a Lead Machine Learning Engineer at Capital One, you will join an Agile team focused on productionizing machine learning applications and systems 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 high availability and performance of ML applications. You will also 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 that address real-world business problems, collaborating with Product and Data Science teams.
• Inform ML infrastructure decisions based on your understanding of ML modeling techniques and issues, including model choice, data and feature selection, model 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 within a cross-functional Agile team to create and enhance software enabling 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 to deliver optimized ML models at scale.
• Construct optimized data pipelines for ML models.
• Apply continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
• Ensure 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 (internship experience not applicable).
• 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 demonstrated 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.

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. The company will consider qualified applicants with a criminal history in a manner consistent with applicable laws regarding criminal background inquiries.

How to Apply

If you require an accommodation, 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.