Senior Manager, Machine Learning Engineer (People Leader)

Join Capital One in Plano, TX (onsite) to lead mission-critical machine learning engineering work that turns modeling into production impact. This role blends hands-on ML system design with people leadership, including mentoring, recruiting, and developing engineering talent. You can expect an inclusive, performance-driven environment, along with comprehensive health, financial, and other benefits to support your total well-being.

What you’ll do

• Design, build, and/or deliver machine learning models and components that address real-world business needs in close collaboration with Product and Data Science teams
• Build and scale large multi-tenant platforms to support training and serving at scale
• Guide ML infrastructure decisions by applying expertise in model choice, data and feature selection, training, hyperparameter tuning, dimensionality, bias/variance, and validation
• Develop and validate ML models through application code, automate tests and deployments, and solve complex technical problems end to end
• Collaborate in a cross-functional Agile team to create and improve software powering big data and ML applications
• Retrain, maintain, and monitor models in production
• Leverage cloud architectures, technologies, and platforms to deliver optimized ML models at scale
• Construct optimized data pipelines to supply ML models
• Apply CI/CD best practices, including test automation and monitoring, to support reliable deployments of ML models and application code
• Ensure code quality and security, govern models from a risk perspective, and follow best practices in Responsible and Explainable AI
• Serve as a force-multiplier by balancing deep technical contribution with mentoring and elevating peers and junior engineers
• Recruit, nurture, and retain top engineering talent
• Stay current with technology trends through experimentation, learning new tools, engaging in internal and external communities, and mentoring others

Qualifications

• Bachelor’s degree or higher in Computer Science, Machine Learning, or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• At least 6 years of programming experience with Python, Java, Golang, or C++
• At least 6 years of machine learning experience with industry-standard frameworks PyTorch or TensorFlow, and libraries including Pandas, NumPy, and scikit-learn
• At least 6 years using and operating large-scale distributed systems (Spark, Ray) to prepare AI/ML data
• At least 4 years deploying and operating ML solutions in production and running production services in the cloud (AWS, GCP, Azure), using Kubernetes to manage large-scale containerized ML systems
• At least 1 year of people leadership experience

Technologies you’ll work with

Python, Java, Golang, C++, PyTorch, TensorFlow, Pandas, NumPy, scikit-learn, Spark, Ray, AWS, GCP, Azure, Kubernetes, CI/CD, Responsible and Explainable AI

Compensation and benefits

Annual salary (Plano, TX): USD 209,000 - 238,500.

• Performance-based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
• Comprehensive, competitive, and inclusive set of health, financial, and other benefits supporting your total well-being

Additional details

• Capital One may sponsor a new qualified applicant for employment authorization for this position
• This role is expected to accept applications for a minimum of 5 business days
• No agencies please
• Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable 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 applicable laws
• If you need an accommodation for the application process, contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]