Lead Machine Learning Engineer
Not Disclosed•Full-TimeOn-site
location_onNYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States
About the Team
As a Capital One Machine Learning Engineer (MLE), you will join an Agile team dedicated to productionizing machine learning applications and systems at scale. Our mission is to bridge the gap between data science innovation and real-world business impact by building robust, high-performance ML infrastructure.
About the Role
This position sits at the intersection of Operations, Modeling, and Data Engineering. You will be responsible for the end-to-end lifecycle of machine learning solutions, from technical design and development to deployment and monitoring. Your work will directly influence how we solve complex business problems using state-of-the-art big data and ML technologies.
In this role, you will collaborate closely with Product and Data Science teams to architect and deliver ML models that drive value. You will ensure high availability and performance while adhering to best practices in Responsible and Explainable AI. The role offers a dynamic environment where you can continuously learn and apply the latest innovations in ML engineering, leveraging cloud-based architectures to optimize models at scale.
Hiring Process
Candidates are expected to submit applications for a minimum of 5 business days. We invite you to apply directly through our careers portal. Please note that no agencies are accepted for this position.
Equal Opportunity & Culture
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. We promote a drug-free workplace and consider for employment qualified applicants with a criminal history in a manner consistent with legal requirements.
We foster an inclusive culture and offer a comprehensive, competitive, and inclusive set of benefits to support your total well-being. If you require an accommodation during the recruiting process, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information provided will be kept confidential.
Note: At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position.
Work location
Work model: On-site
NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States
Similar Job Opportunities
Skills, education and keywords
Skills: Machine Learning, Agile, Golang, Python, Scala, Java, Distributed Computing, Scikit-Learn, Pytorch, Dask.
Education: Bachelor's Degree required; Master's or Doctoral Degree in computer science preferred; Doctoral Degree in computer science preferred.
Frequently asked questions about Lead Machine Learning Engineer at Capital One
What does a Lead Machine Learning Engineer at Capital One do?expand_more
Day-to-day, the Lead Machine Learning Engineer at Capital One will design, build, and deliver ml models and components to solve real-world business problems; construct optimized data pipelines to feed ml models and ensure high availability; leverage cloud-based architectures to deliver optimized ml models at scale; and implement continuous integration and deployment best practices for ml applications.
What are the requirements for this Lead Machine Learning Engineer role?expand_more
Capital One is looking for candidates who meet the following requirements: Bachelor's Degree; 6+ years experience designing and building data-intensive solutions using distributed computing; 4+ years experience programming with Python, Scala, or Java; 2+ years experience building, scaling, and optimizing ML systems; Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or similar field (preferred); and 3+ years experience building production-ready data pipelines for ML models (preferred).